B IBLIOGRAPHY - link.springer.com978-1-137-43706-8/1.pdf · Men and Machines , illustrated by...

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Transcript of B IBLIOGRAPHY - link.springer.com978-1-137-43706-8/1.pdf · Men and Machines , illustrated by...

237© The Editor(s) (if applicable) and The Author(s) 2016J.M. van der Laan, Narratives of Technology, DOI 10.1057/978-1-137-43706-8

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257© The Editor(s) (if applicable) and The Author(s) 2016J.M. van der Laan, Narratives of Technology, DOI 10.1057/978-1-137-43706-8

INDEX

A Abbey, Edward , 113 Abel , 23 abundance, abundant , 17, 52, 76, 80,

190–1, 207 Academy of Lagado , 119 Adam, and Eve , 23, 72–3, 138 Adelung, Johann Christoph , 45 administration , 157 advance, advancement , 2, 15, 17, 43,

45, 60, 101, 204–9, 211, 232–3 advertise, advertisement, advertising ,

197, 203ff. Aeschylus , 21, 113 affi rmation , 40, 42, 52, 84–5, 97, 219 afternoon, a story , 224 Agent Smith , 191, 195–6, 200 agriculture , 3, 11, 68, 88–9, 109, 117 Agrippa von Nettesheim , 170 AI . See Artifi cial Intelligence (AI) airplane , 2, 3, 10, 70, 107, 134,

141–2, 156 alchemy , 154 Aldini, Giovanni , 172 Aldiss, Brian W. , 136–7, 170 Alexa , 215

algorithm , 16, 181, 227–2 alphabet , 2, 17, 114–15 Alphaville , 187, 201 Altman, Rick , 32 Amazon , 215 ambiguity, ambiguous , 94, 104, 109,

189, 229, 233 ambivalence, ambivalent , 40, 108–9,

108–10, 126, 189 Amish , 64, 107 analytics , 181, 205–6 Anderson, M.T. , 237 Anderson, Sherwood , 113 Andreae, Johann Valentin , 116 Andreas, Georg , 43 android , 29, 108, 126–7, 172,

189, 193 Anheuser-Busch , 219 animated, animation , 78, 116, 175 Anna Karenina , 149 apathetic, apathy , 39, 108 Aphrodite , 115 Apollo , 23 Apple , 145, 214–15, 221 Archimedes , 1 Aristotle , 34

258 INDEX

Arthur, W. Brian , 6 artifact/s , 6, 23, 184 artifi cial , 5, 88, 91, 103, 117, 125 artifi cial heart , 181 artifi cial intelligence (AI) , 59, 68–9,

91–3, 189 Ashford University , 213 Asimov, Isaac , 136, 138 assessment , 8, 45–6, 58, 63, 69, 93,

205 Associated Press , 227 Atkins, Will , 118 Atlantic Monthly, The , 25, 210 atomic bomb , 147, 178, 179, 183–4 Audi , 212–13 authority , 31–5, 61, 72, 81, 84–5,

109, 231 automata, automaton , 44, 79, 115,

122–3, 172, 189 automated, automation , 3, 12, 54, 81,

100, 140, 182, 188, 206, 227 Automated Insights , 227 automobile , 2, 10, 12–18, 39, 42, 70,

83, 90, 105, 107, 113, 133, 198, 208, 213

autonomous, autonomy , 2, 15–16, 19, 64, 85–7, 92, 105, 106, 122, 126, 132, 138, 156, 157, 168, 183, 190, 191, 195, 196

Avatar , 190 avatars , 137 Awdry, Wilbert , 112 axe , 118, 178

B Babel, tower of , 67 Bacon, Francis , 44, 116 Bailey, Lee Worth , 50, 72, 98, 99,

136, 138, 166 Balbus, John , 176 Ballard, J.G. , 113, 136 Baluja, Shumeet , 148, 149, 205

Balzac, Honoré de , 112 Banks, Iain M. , 137 Barnouw, Jeffrey , 155 Baron Munchhausen , 121 Barthes, Roland , 35, 37 Battlestar Galactica , 190 Baucis , 157, 164, 166, 167 Baudelaire, Charles , 112 Bauerlein, Mark , 29, 99, 100, 233 Bayle, Pierre , 45 Beckmann, Johann , 5, 46 beer , 11, 208 Bellamy, Edward , 127, 128 benefi t/s , 17, 18, 22, 39, 51, 56, 57,

59, 60, 62, 68, 69, 75, 80, 93, 96, 97, 102, 105, 113, 115, 126, 178, 211, 233

benevolence, benevolent , 135, 138, 150, 166, 178

Benjamin, Walter , 51, 187, 197 Berman, Marshall , 156 Bernays, Edward , 197, 203, 218, 219 Berry, Wendell , 88–90, 234 Besson, Jacques , 42 Bhagavad Gita , 179 Bible, biblical , 23, 114, 215 Bibliotheca universalis , 76 Bibliothèque nationale de France , 25 Bigelow, Jacob , 5, 27, 47, 48 Big Rock Candy Mountain , 72 Bijker, Wiebe E. , 206 Binks, Peter , 176 bio-engineering, bio-medicine,

bio-technology , 57, 61, 63, 175–6, 180, 181, 183, 199

biological, biology , 62, 95, 101, 122, 174, 175, 180, 182, 183, 199

Birkerts, Sven , 95, 96, 100, 224, 229 BlackBerry , 212 Black, Kurt W. , 184 Blade Runner , 189 Blake, William , 35 Bland, Eric , 180

INDEX 259

blaspheme, blasphemous, blasphemy , 110

blessing/s , 17, 22, 51, 53, 81, 105, 115, 166, 177, 180, 189, 218

blind, blindness , 71, 82, 97, 115, 162–7, 177, 215, 218, 230

Bollywood , 221 Boorstin, Daniel , 206 Borgman, Albert , 13–15 Borg, The , 189, 190 botulism , 80 boundary, boundaries , 61, 65, 107,

109, 174, 234 Bowman, Diane , 176 Boyle, Robert , 43, 76 Bradbury, Ray , 136, 138 Brady Bunch , 208 Braidotti, Rosi , 61–3, 189, 200 Branca, Ralph , 146 Brave New World , 14, 29, 136, 138 Brazil , 187 British Library , 25, 26 Brooks, Mel , 170 Brothers Grimm , 72 Buck Rodgers , 179 Buck Rogers , 190 Bud Dry , 219 bureaucracy, bureaucratic , 4, 8, 160 Burnett, Judith , 35, 38, 72 Burton, Virginia Lee , 135 business , 3, 6–9, 11, 12, 16, 29, 51,

86, 146, 167, 205, 211, 212, 215 Butler, Samuel , 125, 126 Byron, George Gordon Lord , 170

C Cain , 23 calculate, calculation , 4, 9, 11, 14, 45,

117, 119, 129, 141, 142, 203, 232, 235

camera , 13, 83, 126, 133, 141, 142, 188, 189, 208, 212

Cameron, James , 190, 191, 193 Campanella, Tommaso , 1, 116 Campbell, Joseph , 36, 37 canal , 70, 121, 124, 135, 157,

159, 163 Candide , 63, 149 Captain Ahab , 212 Captain Nemo , 129 Čapek, Karel , 136, 137 care , 15, 102, 131, 138, 142, 144,

164, 196, 231 Care , 153, 165 Carlyle, Thomas , 48, 77, 78,

84, 108 Carmat , 181 Carr, Nicholas , 100, 101, 104,

225, 233 Carson, Rachel , 88–90, 109 Caryl, Charles Willard , 50 Casey, Timothy , 78, 183 catastrophe, catastrophic , 81, 177–9 categorization, categorize , 2, 45 CAT scan , 103 Cavendish, Henry , 172 Cazamian, Louis , 44 cell phone , 10, 15–17, 19, 57, 102,

106, 107, 212 Cerf, Vint , 87 Cerutti, Dan, 240 CFCs . See chlorofl uorocarbons (CFCs) CGI . See computer-generated imagery

(CGI) Chan, Yvonne , 212 Chaplin, Charlie , 187, 188, 211 Chardin, Teilhard de , 52, 53 Chase, Stuart , 51 children’s literature , 135–6 chlorofl uorocarbons (CFCs) , 90 choice , 15, 16, 25, 45, 53, 64, 86, 90,

94, 195 Chorost, Michael , 66 Christian, Brian , 29, 65, 66, 192,

194, 223

260 INDEX

Chronicle of Higher Education The , 210

cinema , 10, 187, 189, 196–8 city , 2, 12, 23, 24, 114, 116, 121,

133, 135, 148, 179, 187, 188, 194

Clarke, Arthur C. , 52–4, 61, 136, 138, 168, 196, 200

Claussen, Bettina , 156, 157 clickers , 69 climate, climate change , 17, 45, 48,

68, 90, 197 Clinton, Bill/William J. , 59, 60 clock , 2, 4, 17, 43, 121, 143, 198,

209 cloning , 107, 175 Closed Circuit Television , 100 Cockaigne, land of , 72 cog in the machine , 91, 188 coherence/s , 32, 35, 222–5 Cohn, Jonathan , 25 Coketown , 124, 129 Collins, Suzanne , 137 Comcast , 227 commercial/s , 12, 29, 38, 60, 206–9,

211–13, 215–17, 219 Compass Learning , 226 computer , 2–4, 9–11, 13–16, 19, 29,

39, 42, 54, 56–60, 62, 64, 65, 68–71, 81, 85, 87, 91–5, 98, 100–2, 107, 110, 138, 140, 142, 144–7, 149, 158, 181, 182, 189–92, 194, 195, 205, 209, 211, 214–16, 223, 224, 226, 227, 229, 230, 232

computer-generated imagery (CGI) , 189

Comte, August , 49 condition, conditioned, conditioning ,

7, 10, 28, 36, 45, 54, 60, 63, 72, 76, 78, 83, 87, 88, 90, 92, 96, 99, 104, 110, 127, 128, 139,

141, 160, 167, 200, 201, 204, 211, 218, 219

Condorcet, Antoine-Nicolas de , 45, 47, 48

Confi gurations: A Journal of Literature, Science, and Technology , 112

confusion , 3, 54, 144, 202, 225 connected, connectedness connection,

32, 39, 67, 70, 96, 98, 101, 102, 114, 147, 149, 159, 195, 204, 214, 215, 223, 225

conquer, conquest , 56, 71, 122, 153, 159–62, 167, 168, 192, 196

consumer, 9, 58, 64, 67, 99, 204–6, 215

consumption , 80, 100, 205, 218, 235

control , 6, 7, 15, 16, 49, 51, 59, 64, 65, 72, 81–94, 96, 105–9, 117, 118, 139–42, 158, 159, 175, 182–4, 191, 192, 196, 200, 201, 204, 208, 211, 219, 228

convenience , 72 Cooke, Alistair , 176 Copernicus, Nicolaus , 2, 43 Coupland, Douglas , 145 Crampton, Gertrude , 135 creation, creativity , 9, 36, 44, 53, 60,

71, 72, 81, 88, 89, 109, 115, 119, 172, 174, 175, 177, 178, 183, 185, 231

Crichton, Michael , 176 Crick, Francis , 179 crime, criminal , 28, 100, 113, 128,

137, 146, 178 Criterion Online Writing

Evaluation , 226 crossbow , 75 Crusades , 124 cryonics , 180 CTB , 226

INDEX 261

Cudworth, Erica , 227 Cunradi, Johann Gottlieb , 46 curse/s , 17, 22, 105, 114, 115, 177,

189 Cybermen , 190 cybernetic/s , 61, 81, 176, 182, 189 cyberpunk , 137–9 cyberspace , 59, 60, 137, 139, 147, 205 cyborg, cyberorganism , 61, 62, 108,

176, 181, 182, 189, 194, 199, 200

D Daedalus , 21–3, 33, 114 Dale, David , 77 Daleks , 190 D’Alembert, Jean le Rond , 5, 44 Daly, Nicholas , 113 danger,-ous , 17, 22, 48, 56, 59, 62, 69,

76, 81, 92, 101, 104, 112, 114, 126, 127, 136, 141, 149, 164, 165, 170, 173, 174, 177, 183, 193, 194, 200, 201, 207, 231

Dark Light Years, The , 136 Darwin, Charles , 171 Darwin, Erasmus , 171 data , 26, 32, 92, 97, 100, 146, 148,

149, 176, 181, 205, 206, 226, 227, 230

Datatel , 210 Davy, Humphry , 171, 172 DDT , 88 death , 18, 23, 28, 36, 48, 56, 71, 72,

88, 103, 134, 142–4, 152, 154, 164, 167, 174, 175, 178, 179, 192, 202, 225, 231, 236

DeepQA , 181 Defoe, Daniel , 117 dehumanize, dehumanization,

dehumanized, dehumanizing , 65, 77, 78, 84, 105, 167, 168, 187, 188

deify, deity , 71, 87, 218 DeLillo, Don , 29, 113, 146–8 democracy, democratic , 37, 38, 60,

66, 87, 98, 104, 135, 166, 167, 218, 232

Democratic White House 2015 , 60 demytholize, demythology, vii, 29, 34.

39, 86, 88, 105 Denison, Richard , 176 dependence , 85, 103, 105, 145 Descartes, René , 43, 44, 149 destruction, destructive , 18, 22, 51,

56, 71, 75, 77, 80, 85, 89, 92, 106, 112, 122, 147, 163–6, 168, 188, 197, 230, 233

deus ex machina , 111 Deutsche Nationalbibliothek , 25 device/s , 6, 7, 10, 13, 15, 19, 86, 87,

102, 104, 111, 115, 117, 128, 131, 143, 156, 181, 182, 189, 208, 209, 211, 213, 214, 222–4, 232, 234

devil , 151–3, 163, 165, 170 dialectic, dialectical , 229 Dickens, Charles , 113, 123, 124 Dick, Philip K. , 136 dictionary , 4, 46 Diderot, Denis , 5, 44 diffi culty , 41, 80, 94, 210, 222, 231, 236 digital , 2, 7, 10, 29, 51, 54, 56–60,

64, 66, 70, 94–6, 98–101, 105, 139, 140, 146, 189, 205, 206, 209, 216, 225, 226

diminish, diminished , 45, 56, 62, 85, 98, 101, 105, 109, 149, 199, 233

Dippel, Konrad , 171 disconnect, disconnected,

disconnection , 32, 223, 225, 235 dissent, dissenting , 39–41, 75, 95,

104, 110 distance education, learning, and

teaching , 11

262 INDEX

DNA , 62, 103, 174, 179, 180, 183 Do Androids Dream of Electric Sheep ,

136 Dolan, Pamela Lewis , 182 dominance, dominate, dominated,

domination , 61, 71, 77, 78, 81–83, 86, 90, 105, 109, 110, 130, 137–40, 158, 164, 166, 167, 187, 191, 196, 200, 231

Dorsey, Jack , 223 Dos Passos, John , 139 Dow Chemical Company , 210 Dreyfus, Hubert L. , 98 Drucker, Peter , 7 Dr. Who , 190 Dune , 136 Dyson, Esther , 59 dystopia, dystopian , 98, 105, 130,

138, 187

E ease , 72, 94, 141 Echo , 215 economics, economy , 7–9, 11, 14,

17–19, 44, 57, 58, 67, 79, 80, 83, 86, 93, 98, 114, 116, 128

Edison, Thomas A. , 50, 126, 127, 142 Edmunds.com , 227 education , 3, 7–9, 11, 14, 16, 19, 27,

44–6, 51, 52, 57, 66, 68, 69, 78, 86, 95, 99, 100, 104, 116, 210, 213, 214, 217, 226, 233

Educational Testing Service (ETS) , 226

effi ciency, effi cient , 4, 7–9, 16, 20, 38, 39, 45, 51, 58, 68, 70, 78, 81, 86, 89, 93–5, 104, 106, 107, 125, 127, 128, 132, 134, 140, 141, 168, 205, 211, 216, 228, 229, 236

Einstein, Albert , 178 El Dorado , 149 electric chair , 130, 134 electricity , 2, 11, 12, 48, 49, 54, 107,

142, 166, 170–2, 188 electronic , 54, 57, 61, 91, 96, 109,

140, 143, 147, 156, 181, 209, 213, 216, 224–5, 230

Eliade, Mircea , 34, 36, 70 Eliza , 91, 232 Ellul, Jacques , 7, 8, 12, 13–15,

20, 36–8, 55, 83, 85–8, 92–4, 109, 153, 156, 160, 162, 163, 166, 176, 177, 184, 189, 197, 198, 201, 205, 206, 208, 213, 219, 223, 227, 229, 232, 233

email , 10, 13, 49, 138, 216, 222, 229, 233, 236

embodiment , 61, 92, 132, 190, 224, 228

Emerson, Ralph Waldo , 37 empower, empowering,

empowerment , 55, 58, 59, 99, 162, 212, 215, 216

Emrich, Wilhelm , 163 encyclopedia , 5, 13, 44, 138, 139 Encyclopedia Britannica , 44 Encyclopédie (French) , 5, 44 end, end in itself, ends in themselves ,

1, 3, 26, 28, 32, 34, 40, 45, 46, 49, 58, 61, 66, 67, 83, 90, 93, 96, 101, 106, 108, 109, 114, 130, 137, 141, 143, 146, 147, 151–3, 159, 161–4, 162, 175, 178, 188, 190, 193, 195, 201, 202, 204, 207, 212, 213, 217, 224, 225, 230, 236

ending/s , 36, 124, 135, 138, 147, 225, 230, 236

enframement , 82, 94 Engelhardt, Dietrich von , 122

INDEX 263

engineer, engineered, engineering , 1, 6, 8, 9, 12, 24, 47–9, 55, 62, 69, 88, 90, 97, 104, 107, 117, 118, 121, 125, 126, 128, 135, 139–42, 157–9, 161, 168, 169, 171, 174–6, 180–4, 203, 213, 232, 233

engine/s , 1, 2, 4, 10, 13, 43, 46, 47, 63, 76, 79, 93, 94, 100, 112, 117–19, 124, 125, 128, 129, 135, 136, 152, 155, 160, 165, 226

Enlightenment , 44, 117–21 Enola Gay , 179 enrichment , 103, 164 enslave, enslavement , 167, 191 enthusiasm , 42, 45–7, 49, 52, 56, 59,

72, 75, 87, 98, 99, 103–5, 129, 206, 219

environment, environmental , 2, 3, 6, 7, 16, 19, 28, 57, 60, 64, 69, 75, 84, 88–90, 106, 107, 116, 118, 120, 121, 129, 131, 135, 139, 147, 151, 153, 155, 158, 159, 161, 168, 169, 176, 187, 189, 190, 196, 204, 208, 223, 232, 236

EPICAC XIV , 140 equality , 60, 68, 70, 95, 100, 117,

128, 135, 232 equation , 9, 80, 92, 105, 141, 217,

221, 232, 234 Erdrich, Louise , 113 error , 78, 94, 143, 183, 236 Essay Punch , 226 Esurance , 216 ethical meaning , 234 ethic, ethical , 81, 100, 162, 184,

232–4 Étienne Lantier , 128 ETS . See Educational Testing Service

(ETS) Etzler, J.A. , 48 European Union , 100

evolution , 15, 28, 52, 108, 109, 126, 127, 191, 200

Ex Machina , 111, 190 exploitation , 158, 167

F Facebook , 10, 107, 131, 223, 233, 234 factory , 12, 36, 63, 78, 89, 107, 124,

137, 140, 188, 211 Fahrenheit 451 , 136, 201 failure , 18, 29, 40, 56, 97, 131, 142,

164, 169–85, 207, 232 false meaning , 163, 231–5 Fantasia , 155 fantasy , 34, 81, 89, 97, 99, 101, 102,

107, 113, 140, 155, 184, 185, 189

fascism , 50 Faulkner, William , 113 Faust /Faust , 29, 111, 122, 151–70,

170, 174, 183 Feed , 56, 78, 89, 139, 229 Feenberg, Andrew , 8, 13 Ferkiss, Victor , 50, 90, 91, 109, 155,

175 Ferrucci, David , 181, 182 Filene, Edward , 51 fi lm , 13, 121, 133, 137, 170, 188–95,

197, 198, 201, 209, 226, 230 fi nance , 3, 11, 89, 181 fi re , 1, 2, 17, 18, 21, 22, 94, 113,

114, 173 Flash Gordon , 190 Flaubert, Gustave , 112 Florescu, Radu , 171, 178 Florini, Karen Florman, Samuel C. , 55, 56 Forbes, R.J. , 1 forbidden/forbidden: knowledge , 22,

23, 72, 73, 114, 152, 170, 173–4, 183, 204

264 INDEX

forced labor , 160 Ford, Henry , 42, 152 forgetfulness , 101, 115 Forster, E.M. , 131 “For the Love of Money” , 209 Foucault, Michel , 8 Fourier, Charles , 49, 125 fragmented, fragmentation , 54, 103,

145, 225 Frankenau, Georg Frank von , 171 Frankenfood , 180 Frankenstein /Frankenstein , 29, 111,

136, 137, 169–85, 199 Franklin, Ursula , 20, 38, 96, 234 Freed, Fred , 106, 179 free, freedom , 39, 48, 53, 54, 60, 64,

67, 68, 70–2, 77, 80, 81, 83, 86, 87, 91, 93–5, 100, 101, 103–5, 107, 109, 110, 117, 126, 138, 140, 164, 167, 168, 184, 195, 217, 218, 228, 229

Freitas, Robert , 200 Freud, Sigmund , 122 Frisch, Max , 139, 141, 144 Fujitsu , 41, 73n1 fulfi ll, fulfi lled, fulfi llment , 6, 52, 53,

55, 57, 62, 65, 67, 68, 80, 98, 101, 106, 151–68, 196, 204, 207, 216, 227

Fuller, R. Buckminster , 52, 54 Funke, Carl Philipp , 46 Future of Life Institute , 68 Futurism, Futurismo , 51

G Gaier, Ulrich , 155 Galatea , 29, 115, 127, 144, 145, 198 Gallie, W.B. , 31 Gallilei, Galileo , 2, 43, 44 Galvani, Luigi , 170, 172 galvanism , 170, 172

Garland, Alex , 190 Garvey, Michael Angelo , 48, 49 Gates, Bill , 145 Gattaca , 180, 187 Gaylin, Willard , 173 Gehlen, Arnold , 3, 14 genetic-engineering , 175 Gessner, Conrad , 76 Ghost Shirt Society , 141 Gibson, William , 137–9 Gilder, George , 58, 59 Gilder Technology Report , 58 Gilliam, Terry , 121, 187 Gleason, Steve , 215 Godard, Jean-Luc , 187 God, gods , 21–4, 43, 46, 61, 71, 72,

87, 110, 113–15, 145, 154, 173, 177, 179

Goebbels, Joseph , 188 Goethe, Johann Wolfgang von , 122,

151, 152, 154–7, 160, 164, 165, 168–70

golden age , 66, 72, 97, 106, 136 good and/or evil , 231, 232, 234 Goody, Alex , 40, 113, 130, 134,

138–40, 143, 146, 188, 224, 225

Google , 4, 10, 13, 17, 18, 25, 27, 29, 45, 62, 68, 87, 100, 107, 115, 148, 149, 205, 215

government , 7, 9, 12, 43, 60, 76, 78, 114, 140, 149, 203

graph , 10, 27, 149 Great Deed , 151–3, 158, 164–6, 169 Greenberg, Lawrence , 135 greenhouse effect , 90 Gripenberg, Pernilla, 264 Grossman, Lev , 25 GrubHub , 217 Gruson, Lindsey , 179 Guardian, The , 25 Gulliver , 118, 119, 226

INDEX 265

H Hadaly , 127 Hainish Cycle, The , 136 Halle, Johann Samuel , 46 Hammond, Ray , 173 handicrafts , 5, 46 H and R Block , 209 Hanson, F. Allan , 9, 20, 38, 103,

109, 232 Hans Pfaall , 136 happiness , 38, 48, 71, 72, 80, 81, 87,

97, 117, 138, 140, 167, 207, 211, 214, 218

Haraway, Donna J. , 61, 62 harm, harmed, harmful , 22, 39, 55,

62, 76, 93, 95, 96, 108, 109, 130, 177

harmony , 36, 49, 58, 71, 79, 106, 119, 135, 195, 215, 233

healthcare , 67, 116, 181, 182 Harper’s Magazine , 9, 25, 55, 225 Harris, John , 4 Hauptmann, Gerhard , 112, 130 Hawking, Stephen , 69, 173 Hayles, N. Katherine , 40 Haynes, Roslynn D. , 154 Hazen, Edward , 27 health , 14, 28, 60, 62, 66, 67, 72, 97,

128, 143, 162, 180 Heidegger, Martin , 15, 82, 94, 109 Heinlein, Robert , 136 Heitler, Walter , 199 Heller, Erich , 164 Henrichs, Norbert , 154 Hephaestus , 22 Her , 190 Herbert, Frank , 40, 78, 82, 113, 135,

136, 158 herbicide , 11, 88 heresy, heretical , 96, 110 Hermann, Benedict Franz Johann von ,

46, 165

hero , 33, 36, 37, 56, 71, 117–19, 121, 129, 151, 160, 190, 207, 213, 222

Hesiod , 21, 22, 38 Hewlett-Packard , 203, 204,

220n1 high-tech , 56–64 Hill, Stephen , 94, 119, 205 Hiroshima , 179 history , 1–3, 10, 11, 13, 19, 23, 27,

30, 36, 43, 46, 50, 52, 55, 83, 87, 95, 117, 119, 124, 136, 153, 158, 223, 230, 231

Hitler, Adolph , 188 Hobbes, Thomas , 43 Hodge, Graeme , 176 Hoffmann, E.T.A. , 122, 123, 136,

172 Holmes, Richard , 172 Homer , 22, 38 hope , 40, 51, 53, 54, 57, 58, 60, 61,

65, 91, 94, 101, 102, 108, 109, 111, 138, 142, 166, 176, 179, 184, 192–4, 200, 201, 215, 218, 222

Horkheimer, Max , 153, 158, 162, 168

Huffi ngton Post , 25 Hughes, James , 182 Hughes, Thomas Parke , 11, 12, 40,

42, 50, 52, 77, 182 Human Genome Project , 174 human, human being, humanity , 1,

21, 42, 76, 113, 151, 169, 187–202, 222

hunger , 66, 128, 137, 233 Hunger Games, The , 137 Hurd, Gale Anne , 192 Huxley, Aldous , 136, 138 Huygens, Christiaan , 43 hyperlink, hypermedia, hypertext ,

223–5

266 INDEX

I IBM , 68, 181, 211 Icarus , 21–3, 29, 34, 37, 72, 111,

114, 120 ICTs . See Information Communication

Technologies (ICTs) I, Cyborg , 182 idealism , 39–41, 45, 48, 50, 52, 54,

56, 62, 66, 68–73, 75, 77, 79, 81, 83, 84, 87, 88, 97, 101, 105–7, 110, 144, 149, 185, 230–2, 235, 236

identity , 29, 91, 102, 130, 204, 235 ideology , 35, 67, 70, 71, 82, 84, 183,

219 ignorance , 66, 67, 115, 127, 137,

207, 213, 233 Iliad , 22 illusion , 34, 54, 60, 61, 79–81, 87,

92–4, 97, 99, 133, 144, 163, 168 imaginative literature , 112, 117, 122,

148, 149 immaturity (juvenilia) , 101 immediacy , 39, 70, 229 immortal, immortality , 46, 62, 72,

236 imperfect, imperfection , 42, 45, 62,

104, 127, 138, 211, 217, 236 impoverish, impoverished,

impoverishment , 101, 103, 164 improvement , 24, 45, 47, 48, 52, 55,

56, 62, 63, 70, 72, 80, 84, 90, 93, 99, 108, 116, 175, 176, 185, 211, 230, 232, 233

incoherence, incoherent , 221–5 independence, independent , 11, 15,

20, 38, 101, 138, 165, 190, 192, 224, 228

indoctrinate, indoctrination , 218 industrial, industry, large-scale

industrial , 12, 13, 37, 51, 76–8, 88, 89, 93, 112, 122, 128, 129, 132, 152, 156, 161, 165, 203, 207

Industrial Revolution , 2, 3, 10, 77, 124, 157

ineffi ciency, ineffi cient , 127, 134, 211, 216, 228, 229, 236

infi nite, infi nity , 60, 66, 89, 90, 121, 163, 195

information , 2, 4, 9, 13, 16, 17, 32, 35, 44, 57, 58, 60, 63, 92, 95, 99, 100, 109, 139, 142, 149, 204, 205, 215, 219, 223, 224, 231, 232

Information Communication Technologies (ICTs) , 100

inhuman , 139, 169, 223 innovation , 22, 23, 33, 42, 58,

67, 95, 98, 105, 127, 175, 183, 184, 234

Institution of Electrical Engineers Control and Automation Network , 182

instrument, instrumental , 4, 9, 13, 20, 30, 33, 35, 45, 91, 117, 119, 120, 132, 140, 153, 157, 158, 175, 197, 219, 230

integrate, integration , 63, 66, 82, 182, 197, 199, 200, 219, 229

intelligence human , 3, 69, 101, 153, 180, 214,

223, 231, 232, 234 machine , 29, 49, 59, 68, 70, 91, 93,

95, 122, 126, 191, 224, 226, 234

Internet/Net , 2, 4, 10, 13, 16, 18, 28, 29, 42, 45, 49, 54, 58–60, 63, 65–71, 87, 98, 100–4, 107, 110, 130, 134, 138, 147, 148, 206, 214, 215

Internet of Things , 67, 68 iPad , 10, 221 irrational, irrationality , 91, 97 irresponsibility, irresponsible ,

169, 184 Iwata, Jon , 181, 182

INDEX 267

J Jacobson, Johann Karl Gottfried , 46 Jaeger, Michael , 156 Jarvis, Jeff , 66 Jasinski, Joseph , 181 Jennings, Humphrey , 47, 77 Jeopardy , 181 Jesus, Jesus Christ , 192, 218 John Connor , 192–4, 196, 201 Johnson, Samuel , 119 Johnson, Stephen , 45, 66 Jonas, Hans , 7, 161, 164–6 Jonze, Spike , 190 Joyce, James , 112 Joyce, Michael , 224 JPod , 145 Jünger, Friedrich Georg , 8, 11, 80, 81,

208, 217

K Kafka, Franz , 131, 132 Keim, Brandon , 180, 182 Keller, Werner , 155 Kellogg, Robert , 30, 34 Kelly, Kevin , 10, 12, 13, 15, 18, 29,

40, 64–6, 68 Kemble, Fanny , 47 Kempelen, Wolfgang von , 122 Kepler, Johannes , 2, 43, 136 Keyworth, George , 59 Khan, Feroz , 221 Kickstart , 208 Kimbrell, Andrew , 175 Kipling, Rudyard , 113 Kline, Stephen J. , 6 Knapp, Friedrich Ludwig , 26, 27 Knoespel, Kenneth J. , 38, 43 knowledge , 4, 5, 8, 22, 24, 30, 37, 39,

44, 45, 54, 56, 59, 60, 67, 69, 71, 72, 76, 87, 99, 101, 109, 113, 115, 116, 119, 120, 147,

151–3, 155, 160, 170, 173, 174, 183, 203, 207, 213–15, 226, 231

Kranzberg, Melvin , 2, 6, 10 Krauss, L.M. , 173 K12.com , 69, 213 Kubrick, Stanley , 187 Kunstler, James Howard , 104 Kurzweil, Ray , 3, 61, 62, 66, 101, 200

L labyrinth , 22, 225 La Mettrie, Julien Offray de , 44 Lamprecht, Georg Friedrich von , 46 Landers, Richard , 61 Lang, Fritz , 187, 188 language , 21, 24, 30, 32, 55, 65, 67,

87, 95, 109, 113, 119, 129, 181, 224–9, 232, 234

Lanier, Jaron , 101, 102, 104, 206 laptop , 19, 215, 216 law , 4, 8–10, 13, 20, 51, 63, 64, 76,

77, 89, 92, 95, 141, 154, 155, 174, 184, 200, 226

Lawrence, William , 135, 172 Lederer, Susan E. , 184 Lee, Judith Yaross , 135 Lego/s , 119, 145 Le Guin, Ursula , 136 Leibniz, Gottfried Wilhelm , 63 Le Monde , 25 Lem, Stanisław , 136 Leonardo da Vinci , 42, 76, 210 Leon, J.A. , 26 Leviathan , 43 Levin, Harry , 38 Levin, Ira , 127 Lévi-Strauss, Claude , 35, 37 Lewis, Anthony, 18, 267 Lewis, Robert A. , 179 Lewontin, R.C. , 183 lexia , 224

268 INDEX

LEXIS/LexisNexis , 9 L’Express , 25 Lexus GS , 213 liberate, liberation , 36, 51, 55, 59, 67,

70, 72, 78, 86, 94, 104, 108, 109, 196, 212, 225, 232, 233

Library of Congress , 25, 26 Life Machine, The , 134 limit/s, limitless, limitlessness , 52, 53,

62, 65, 71, 72, 88–90, 94, 99, 104–7, 109, 117, 129, 141, 146, 157, 160, 168, 174, 183, 185, 210, 216, 217, 230, 232–4

Lincoln, Bruce , 35, 38 Ling, Van, 268 literacy , 95 Little Engine that Could, The , 135,

136 Little Red Caboose, The , 135 Little Tramp, The , 188, 211 Locke, John , 44 Loeb, Harold Albert , 50, 65 Loebner Prize , 65 London Times, The , 25 Lucas, George , 189 Lucifer , 124 Ludd: General; King; Ned , 76 Luddite , 76, 77

M machina mundi , 42 machine, machinery , 4, 8, 11, 26, 34,

37, 42–4, 46–8, 50–3, 59, 61–3, 65, 68, 71, 72, 77–5, 89, 91, 92, 95, 96, 101, 105, 106, 112, 113, 115, 119–35, 124, 133, 138, 140, 142, 144, 149, 156–60, 165, 167, 180–2, 187, 188, 191–6, 198–202, 205, 207, 208, 215, 224–30, 234–6

Madách, Imre , 124, 125

magic , 96–8, 107, 139, 151–6, 159–61, 166, 218, 230–2, 235

Magic Mountain, The , 139 Malcolm, Chris , 182 malevolence, malevolent , 150,

166, 194 Malinowski, Bronislav , 38 Mallarmé, Stéphane , 112 management , 8, 11, 16, 42, 46, 49,

51, 128, 146, 181, 216, 235 Manhattan Transfer , 139 Mann, Thomas , 139 manufacture, manufacturing , 5, 6, 26,

27, 46, 48, 90, 112, 116, 119, 137, 200

Marcuse, Herbert , 82, 85, 86, 158, 166

Marinetti, Filippo Tommaso , 50, 51 Marx, Karl , 28, 67, 78, 79, 91, 108 Masterpiece Theatre , 176 mathematical, mathematics , 4, 8, 43,

45, 47, 69, 92, 142, 170, 226 Matrix, The /Matrix , 187, 191, 192,

194–6, 198–201 Mattenklott, Gert , 155 Matschoss, Conrad, 1, 249 Maus, Marcel , 154 maze , 225 McCarthy, John A. , 231 McCracken, Harry , 25 McDonalds , 208 McGonical, Jane , 66 McKibben, Bill , 89, 90, 104 McLuhan, Marshall , 18, 52–4, 199,

205, 206 meaning , 4–7, 28, 30, 34–6, 38–40,

42, 57, 58, 65, 70, 71, 73, 80, 84, 85, 92, 94, 95, 97, 98, 105, 110, 139, 140, 146, 148, 152–4, 157, 160–3, 168, 185, 194, 197, 213, 216, 222, 225, 226, 228–36

INDEX 269

meaningless, meaninglessness , 97–9, 161, 162, 230, 233

means, means to end/s , 1, 2, 6–8, 17, 22, 24, 28, 38, 46, 54, 57, 63, 65, 70, 79, 80, 83, 85–7, 90, 93, 95, 105, 106, 108, 109, 117, 118, 120, 123, 140, 141, 151–3, 155, 158, 160, 164, 168, 182, 194, 204, 207, 210, 214, 217, 218, 222, 231, 233

measure, measuring, measurement , 2, 4, 8–10, 13–16, 25, 26, 45, 46, 51, 53, 69, 79, 83, 84, 86, 93, 97, 123, 129, 141, 193, 198, 224, 232

mechanical turk , 122 world picture , 84 worldview , 44, 62

mechanics , 44, 123, 176 mechanism , 6, 8, 48, 51–4, 59, 61,

77, 78, 82, 85, 91, 112, 116, 132–4, 152, 188, 198, 201, 205, 218, 231, 233

mechanize, mechanized, mechanization , 3, 8, 9, 13, 24, 41, 53, 76, 78, 83, 88, 89, 112, 122, 124, 128, 130, 132, 134, 139, 156, 158, 165, 188, 191, 199, 211

mediate, mediated , 3, 13, 85, 94, 97, 98, 143, 183, 233, 235

medicine , 3, 11, 22, 68, 86 megamachine , 91, 159, 160, 162, 167,

168 Memorial Sloan-Kettering Cancer

Center , 182 memory , 12, 95, 101, 115, 146,

147, 230 Menand, Louis , 25 Mephistopheles , 152–4, 156, 158 Mercier, Louis-Sébastien , 120, 127

merger human and machine , 62–3, 182,

195–6, 199, 201–2 mechanism and organism , 53, 101,

201 Merit Software , 226 Merkle, Ralph , 200 Metamorphoses , 22, 71, 79, 115 method/s , 4, 6–9, 12, 13, 37, 43–6,

49, 51, 76, 86, 119, 151, 156, 158, 235

Metropolis , 187 Michelson, Peter , 163 Micromégas , 136 Microsoft , 63, 145, 215, 216 Middle Ages , 75, 116, 124 Mike Mulligan and his Steam Shovel ,

135 Miller, J. Hillis , 30 Mink, Louis , 30, 32, 33 Minority Report , 190 Minsky, Marvin , 58, 59, 101, 200 Miranda, Alvaro de , 100 Mitcham, Carl , 78, 183 Moby Dick , 212 Modern Times , 187, 188, 211 Molnár, Géza von , 154 monomyth , 36 monster, monstrous , 79, 130, 173,

177–9, 183–5 Monty Python , 121 Moore, Gordon E. , 10 Moore’s Law , 10, 63 moral, morality , 29, 33, 36, 38, 45,

72, 81, 89, 94, 95, 97, 98, 116, 154, 161, 165, 196, 204, 207, 232–5

Moravec, Hans , 61 More, Thomas , 125 Morozov, Evgeny , 103, 104, 109,

228, 232 Morpheus , 191, 192

270 INDEX

mortal, mortality , 23, 113, 236 Mostow, Jonathan , 191 Mountain Dew , 208 movies, motion pictures , 28, 29, 117,

187–202, 206 MRI , 11, 103 Muckermann, Hermann , 165 Mumford, Lewis , 1, 8, 34, 43, 55, 70,

83–8, 91, 109, 152, 155, 156, 158–60, 166, 168, 179, 182, 231, 232

Murasaki Shikibu , 21 Murray, Henry A. , 34, 36, 71 Murray, Janet H. , 60, 224, 225, 228,

232 Musk, Elon , 69 myth

ancient , 37, 71, 127, 144, 169, 218 defi nition of , 70 etymology of , 34 in relation to narrative , 70 technological , 35, 55, 86, 87 traditional , 39

mythic, mythical , 33, 37, 38, 72, 88, 89, 136, 146, 207, 217

mythologize, mythology , 29, 35, 37, 72, 83

N Naisbitt, John , 56–9 Naisbitt, Nina , 57 nanobot , 62 nanoscale , 62, 181, 200 nanotechnology , 62, 63, 176, 181, 200 narrative

anti-narrative , 30, 223, 225, 228 breakdown of , 225 as cognitive instrument , 30 counter , 39, 72, 75–110 defi nition of , 30–3 digital , 225

dominant , 41–73, 75, 92, 94, 101, 108, 110, 149, 206, 222

grand or master , 231 loss of , 55, 83, 90, 98 machine-generated , 224–30 principles of , 32, 42, 44, 51, 55, 231 in relation to story , 65, 70

Narrative Science , 226, 227 National Science Foundation , 62 National Socialism, Nazi/s , 82, 143,

144, 188 natural, nature , 1, 5, 28, 46, 58, 70,

78, 84, 85, 90, 125, 131, 139, 146, 151, 153–5, 158, 163, 168, 169, 180, 181, 204, 219, 224, 226, 227, 232, 236, 323

need , 9, 17, 18, 28, 33, 48, 49, 53, 56, 57, 64–8, 80, 84, 85, 87, 93, 97, 101, 104, 106, 107, 109, 115, 118, 125, 128, 131, 135, 143, 162, 193, 197, 198, 204–7, 210, 211, 217, 219, 221, 222, 224, 225, 228, 230, 231, 234, 236

Negroponte, Nicholas , 29, 58, 100, 113, 225

Neo , 192, 194–6, 201 Neumann, John von , 101, 141 Neuromancer , 138, 139 New Lanark , 77 New Republic, The , 103 Newton, Isaac , 44 New Yorker, The , 25 New York Times, The , 25, 173, 205 NGram Viewer , 27 Nichol, Andrew , 187 Nichol, Joseph McGinty , 191,

1984, 136 No Child Left Behind , 9, 69 non-existence , 103 Noosphere , 53 normal accident , 232

INDEX 271

Norris, Frank , 112 novel , 28, 30, 33, 56, 112, 113,

117–22, 125–29, 132, 133, 137–49, 160, 165, 169–71, 173, 176, 177, 179, 180, 184, 185, 188, 205, 225

NPR , 25 numbers, number system , 2, 9, 21,

24–8, 114 Nye, David E. , 3, 38, 40, 42, 59, 70,

107, 113, 139

O Obama, Barack , 223 objection/s , 40, 52, 54, 75, 76, 110,

125, 180 objectivity , 7 obsolescence, obsolescent , 52 Odyssey Writer , 226 O’Jays, the , 209 online education/instruction , 11, 213 Oppenheimer, J. Robert , 179, 183 Oppenheimer, Todd , 104 opportunity , 59, 97, 101, 103, 104,

205, 210, 213 optimism, optimistic , 34, 39, 40, 47,

49, 56, 61, 62, 66, 70, 98, 102, 105, 108, 112, 130, 138

Oracle, the , 195 organism , 51, 52, 54, 55, 61, 63, 82,

84, 85, 92, 107, 126, 176, 180, 189, 200

organize, organization , 4, 6–9, 11, 12, 14, 16, 35, 44, 49, 68, 69, 86, 89, 105, 116, 121, 127, 128, 140, 141, 146, 151, 154, 156–9, 158, 161, 168, 203, 208, 231, 233, 235

Ortega y Gasset, José , 14, 20, 43, 80, 153

Orwell, George , 136, 138

Ovid , 22, 115 Owen, Robert , 77 ozone , 90

P Pacey, Arnold , 97, 154, 165 Panama canal , 121 Pandora , 22, 33, 114 Papson, Stephen , 211 parable , 207, 212 Paracelsus , 170 paradise: Eden , 36, 48, 62, 67, 71, 72,

89, 97, 104, 105, 119, 120, 124, 128, 138, 164

paradox , 229 Parkman, Francis , 221 PBS , 66, 176 PC Magazine , 209 peace , 62, 67, 71, 95, 106, 141, 145,

148, 166, 195, 233 Pear Analytics , 222 perfect, perfected, perfection , 46, 48,

55, 56, 66–8, 77, 79, 95, 97, 104, 118, 123, 127, 128, 137, 193, 217, 236

Perrow, Charles , 232 Perry, Katy , 223 personal computer (PC) , 2, 10, 19,

54, 102, 138, 205, 211 persuade, persuasion , 197, 203, 204,

218, 219 pessimism, pessimistic , 56, 88, 112 pesticide , 11, 88 petrochemicals , 11, 89, 208 Pfi ster, Wally , 190 Phaedrus , 18, 114 phalanstery , 125 pharmaceuticals , 11 Phelan, James , 30, 34 Philemon , 164, 166 Philipps, Douglas , 57

272 INDEX

Piper, Watty (aka. Arnold Munk) , 135 Pirandello, Luigi , 132, 188 planning , 8, 9, 11, 14, 16, 23, 24,

116, 127, 140, 142, 157, 203, 208, 211

Plastic Words , 119 Plato , 18, 114 Pliny , 22 Poe, Edgar Allan , 136 Pogue, David , 25 Polidori, John , 170 political, politics , 2, 8, 9, 11, 19, 28,

44, 45, 49, 52, 57, 61, 79, 82, 86, 95, 99, 104, 141, 143, 206, 223, 226

Pörksen, Uwe , 119 positivism , 49 possibility , 15, 49, 61, 62, 72, 91, 94,

107, 109, 120, 138, 144, 169, 171, 182, 230, 235

posthuman , 40, 62, 63, 100, 189 Postman, Neil , 8, 29, 94, 95, 109,

138, 206–8, 212, 231 Potter, Marian , 135 Pound, Ezra , 112 poverty , 36, 66, 69, 106, 128, 233 Powell, Michael , 175 power , 1, 6–8, 10–12, 18, 20, 24, 36,

37, 39, 47, 51, 52, 54, 57, 59, 60, 66, 70–2, 77, 79, 84, 86, 88, 90, 91, 94, 100, 105, 107, 108, 115, 118, 120, 123, 126, 128, 129, 132, 136, 141, 148, 151, 154–6, 159, 160–8, 187, 188, 204, 205, 212, 213, 215, 224, 225, 230, 232–5

PowerPoint , 69, 223 Powers, Richard , 29, 144, 145 practice/s , 3, 6, 8, 14, 38, 88, 154,

173, 178, 203 precision , 7, 84, 125, 132, 228, 229 Prey , 133, 134, 176

Priestley, Joseph , 172 printing press , 2, 76, 152 problem/s , 4, 14, 17, 18, 33, 38, 39,

45, 49, 50, 52, 56, 58, 64, 66, 68, 69, 77, 82–4, 88–90, 95–7, 100, 103–5, 109, 115, 120, 123, 127, 128, 137, 140, 142, 143, 148, 152, 158, 162, 163, 169, 171, 176, 177, 181, 183, 191, 194, 207, 210, 218, 222, 228, 236

procedure/s , 4, 6, 103, 179 process/es , 5, 6, 8, 11, 12, 16, 53, 54,

61, 79, 85, 96, 155, 188, 189, 203, 205, 206, 224–6, 228, 231

production, productivity , 9, 12, 17, 37, 39, 51, 52, 67, 79, 80, 84, 93, 112, 123, 140, 152, 166, 168, 172, 178, 188, 205, 208, 210, 211, 221, 225, 226

progress , 2, 10, 33, 39, 45–7, 50, 52, 55, 56, 65, 66, 70, 72, 80, 82, 83, 85, 87, 88, 90, 95, 98, 99, 102, 116, 138, 141, 142, 162–4, 173, 176, 178, 179, 185, 195, 197, 205, 207, 213, 222, 229, 233, 235

prohibition/s , 21, 75, 169, 173–5, 217, 230

Prometheus , 21, 75, 169, 173–5, 217, 230

Prometheus Bound , 21 promise , 10, 24, 41, 45, 48, 52, 54,

60, 65, 66, 71, 72, 75, 85, 98, 100, 104, 112, 127, 138, 152, 155, 173, 181, 182, 199, 204, 206, 216, 226, 229, 230

propaganda, propagandize , 188, 197, 201, 203, 218, 219

prosperity , 60, 72, 95, 98, 101, 138, 166

Prouty, H.H. , 188

INDEX 273

Prussian blue , 171 psychology , 3, 86, 143 public opinion , 9, 47, 203, 219 public relations , 11, 203, 218 Pupin, Michael Idvorsky , 51 Purcell, Jr., Carroll W. , 2 Pygmalion , 115, 127, 144, 198 pyramids , 159

Q quantifi cation, quantify , 7, 84 Queen Mab , 121 Quill , 226

R Race to the Top , 9, 69 radio , 2, 3, 10, 13, 14, 25, 28, 70, 83,

129, 205 railroad, railway , 2, 17, 46–8, 50, 70,

76, 112, 113, 128, 130, 152 Ramelli, Agostino , 42 Raspe, Rudolf Erich , 121 Rasselas , 119, 120 rationalization , 8, 9 Ratzan, Richard M. , 184 reading , 55, 95, 96, 100, 122, 144,

163, 171, 224 Reagan, Ronald , 59 real, reality , 1–20, 29–35, 38, 59–61,

63, 66, 70, 77, 81, 82, 84, 86–8, 90, 91, 94, 97–9, 101, 104, 107, 109, 110, 119, 121, 122, 125–30, 133, 134, 138, 139, 143, 144, 147, 148, 151, 153, 155, 162–4, 168–73, 178, 183–5, 187, 188, 190, 191, 194, 196, 200, 201, 205, 211, 215–17, 223, 225, 226, 229–2, 234, 236

Reese, Byron , 66, 67, 195 Reeves, Keanu , 191, 201

Reformation , 152 regular, regularize, regulation , 8, 11, 12,

25, 55, 56, 60, 75, 107, 168, 176 reliability, reliable , 7, 70, 232 religion , 11, 19, 28, 36, 78, 85, 95 Renaissance , 2, 76, 152 Republican Policy Committee , 60 responsibility, responsible , 3, 80, 97,

184 restrain, restrained, restraint , 89, 106,

233 Reuleaux, Franz , 159 Rheingold, Howard , 58–60 Ricoeur, Paul, 31–4, 252 Rifkin, Jeremy , 67, 68 Rifl eman’s Creed , 145 Rimbaud, Arthur , 112 Rip van Winkle , 127 Ritter, Johann Wilhelm , 172 Roberts, Adam , 136 Robinson Crusoe , 117, 118 robo-trading , 9, 16 robot, robotic , 17, 25, 61, 99, 100,

102, 108, 115, 137, 138, 140, 142, 172, 181, 182, 187, 189, 200, 215, 224

Rosetti, Dante Gabriel , 112 Rössig, Karl Gottlob , 46 Rossum’s Universal Robots , 137 R.U.R. , 136–7 Ruskin, John , 78, 84 Russo, John Paul, 146, 147, 199

S sacred , 34, 36, 70, 110 sacrilege , 110 Sacrobosco, Johannes de , 42 Saint-Simon, Henri de , 49, 156 salvation , 36, 109, 151, 162, 184,

191, 195, 201, 218 Sandman, The , 122, 136

274 INDEX

Sapir, Edward , 79 Sarno, David , 223 satire , 118, 126, 141 satisfaction, satisfi ed, satisfy , 6, 9, 45,

152, 161, 162, 164, 168, 174, 204, 205

Schachterle, Lance , 47, 135, 144 Schivelbusch, Wolfgang , 3 Schlaffer, Heinz , 153, 155 Schlaraffenland , 72 Schmidt, Jochen , 156, 164 Scholes, Robert , 30–32, 34, 225, 227 Schorer, Mark , 35, 37 Schwarzenegger, Arnold , 191, 193–5,

201 science fi ction , 52, 112, 136–40,

170–3, 179, 180, 184, 185, 187, 189, 190, 200, 201

science, technology, engineering, mathematics (STEM) , 69

Scott, Howard , 189, 229 Scott, Ridley , 189, 229 Scudder, Billy , 211 Scuffy the Tugboat , 135, 136 search engine , 100 Searle, John R. , 93, 94 security , 62, 102, 119, 149, 166, 216 seduce, seduction , 188, 204, 217 Segal, David , 175 Segal, Howard P. , 40, 42, 49, 50, 108,

113, 127, 138, 211 Segeberg, Harro , 112, 156, 157, 163 Segenkrantz, Beata, 254 Seidensticker, Bob , 34, 63, 64 self-extermination, self-extinction , 99,

108 self-replicating, self-replication , 62,

200 Senker, Peter , 72, 99 Serafi no Gubbio , 132, 188 Sharpe, Richard , 100 Shattuck, Roger , 170, 178

Shelley, Mary , 136, 137, 169–74, 178, 180, 184, 185

Shelley, Percy Bysshe , 171 Shoffstall, Grant , 180 signifi cance , 10, 36, 70, 78, 84, 102,

148, 162, 185, 191, 204, 228, 229, 233, 235

simulate, simulated, simulation , 60, 65, 70, 85, 93, 94, 115, 123, 188, 189, 191, 231, 232

Singer, Natasha , 205 Singularity , 47, 62 Skal, David J. , 173 Skynet , 191, 201 Skype , 131 smart

agriculture , 68 board , 234 car , 68, 234 city, 68 classroom , 11, 69, 234 education , 68 house , 126, 234 medicine , 68

Smith, Adam , 28, 191, 194–6, 200 Snickers , 208 Snow, C.P. , 18 Snowcrash , 139 social constructivism , 39 social media , 11, 54, 102 society , 3, 6–8, 10, 13, 14, 17, 18, 20,

33, 35–9, 42, 43, 45, 48, 49, 51, 54, 55, 59, 64, 67, 70–2, 75, 77, 78, 82, 83, 85, 86, 91, 93–5, 97, 106, 107, 110, 116, 119, 128, 135, 138, 141, 153, 161, 162, 165–8, 176, 183, 197–9, 201, 204, 205, 218, 223, 230, 232, 235

Socrates , 18, 114, 115 software , 16, 69, 101, 147, 181,

209, 226

INDEX 275

Solaris , 136 Solnit, Rebecca , 231 solution/s, solve , 4, 14, 25, 33, 40,

49, 52, 56, 60, 62, 64–6, 68, 69, 88, 90, 96, 100, 104, 109, 123, 127, 137, 142, 162, 176, 177, 183, 194, 201, 210, 218, 222

soma , 138 Somnium , 136 Sorrows of Young Werther, The , 160 Southey, Robert , 77, 91 SpaceX , 69 speed , 39, 47, 54, 70, 71, 84, 93, 95,

125, 128, 129, 142, 217, 229 Spiegel, Der , 25 Spielberg, Steven , 189, 190 Spitzer, Martin , 100 Stableford, Brian , 184 standardize, standardized,

standardization, standards , 7–9, 16, 23, 69, 84, 87, 91, 96, 103, 125, 159, 198, 229, 230

Stapledon, Olaf , 136 Star Maker , 136 Star Trek , 173, 189, 190 Star Wars , 189 statistical, statistics , 8, 9, 97, 142, 223 steam

engine , 1, 2, 46, 76, 79, 112, 124, 136, 152, 160, 165

locomotive , 47 STEM . See science, technology,

engineering, mathematics (STEM)

Stepford Wives, The , 127 Stephenson, George , 47, 137–9 Stephenson, Neil , 137–9 Stivers, Richard , 14, 72, 97, 98, 152,

156, 158, 161, 218, 230–5 story

defi nition of , 30, 32 as means to know , 28

in relation to narrative , 29 shape of , 32

storytelling , 28, 30, 33, 228 subjugate, subjugation , 71, 105, 145,

158, 164, 167, 168, 191, 194, 211

subservience, subservient , 54, 64, 131, 167

succession-transformation , 30 success, successful , 18, 29, 30, 32, 33,

39, 55, 66, 69, 72, 88, 121, 126, 134, 149, 164, 170, 176–9, 183, 184, 210–12, 216, 217, 225, 235

Suez canal, 121 suggestion , 203, 204, 212, 216 Superbowl , 215 surveillance , 149 survival , 71, 72, 97, 912 Sussman, Herbert L. , 40, 78, 113,

123, 124, 126, 135 Sveiby, Karl-Erik, 254 Swift, Jonathan , 118, 119, 226 Swinburne, Algernon Charles , 112 symbiosis , 201 symbiote , 65 Sypher, Wylie , 40, 46, 112, 113, 228 system/s , 2, 4, 6–13, 15, 16, 19, 24,

33, 42–4, 47–9, 51, 53–5, 61, 62, 64, 66, 67, 76–80, 85, 86, 89, 92–4, 96, 104, 105, 107, 109, 114, 119, 120, 128–30, 139, 141, 143, 144, 146–8, 156, 159, 163, 180, 182, 184, 188, 191, 195, 196, 200, 201, 205–9, 211, 213, 218, 219, 224, 229, 232, 235, 236

T tablet , 19, 131, 214 Talbot, Stephen L. , 104 Tale of Genji , 21

276 INDEX

Tantillo, Astrida Orle , 167 Taylor, Alan , 191 Taylor, Frederick Winslow , 51 Taylorism , 42, 51 technê , 21, 173 technician , 1, 9, 22, 38, 80, 119,

120, 126, 132, 141, 143, 157, 203, 232

technics , 83, 92, 155, 158, 159 technique/s , 4–8, 11, 14, 20, 25, 26,

38, 44, 69, 79, 85–7, 89, 117, 141, 143, 153, 154, 156–9, 161, 180, 198, 233–5

technium , 12, 15, 64, 65 technocracy , 50, 95, 220 technocrat , 104, 138, 157, 158, 160 technological

advance , 105, 235 affi rmation , 39, 40, 52 change , 11, 63, 75, 93, 213 determinism , 39 enthusiasm , 42, 45–7, 49, 52, 53, 56,

72, 75, 87, 103, 104, 129, 206 idealism , 40, 41, 45, 48, 50, 52, 54,

56, 62, 66, 68–72, 75, 77, 79, 81, 83, 84, 87, 88, 97, 105–107, 110, 144, 149, 185, 230–2, 235, 236

imperative , 80, 152, 180 neutrality , 82 optimism , 34, 39, 47, 49, 56, 102,

138 order , 20, 64, 77, 78, 80, 87, 96,

109, 129, 132, 134, 136, 141, 157, 190, 206, 213, 229, 234

progress , 10, 39, 46, 50, 55, 56, 80, 88, 98, 138, 141, 142, 163, 164, 178, 185, 205, 213, 229, 235

system , 7, 11–13, 15, 24, 42, 47, 48, 53, 64, 77, 80, 85, 86, 93, 94, 96, 104, 105, 107, 109, 114, 128–30, 139, 141, 143,

144, 147, 148, 188, 191, 196, 205–9, 211, 219, 235

utopianism , 49, 50, 72, 108, 152, 185, 218

technology autonomy of , 15, 85, 157 defi nition of , 5 essence of , 11–12, 82, 98, 109, 158,

216 framework , 82, 86, 94, 110, 196,

235 growth of , 10 history of , 3 invisibility of , 71 non-material , 7–9, 16, 114, 116,

156, 160, 204 reality of , 1–20, 148 as theme in imaginative literature ,

122, 149 Technology, Entertainment, Design

(TED) , 25 Technopoly , 8, 95, 206, 231 techno-science, techno-scientifi c ,

172–5, 176–9, 184 telegraph , 2, 49, 130, 133, 134 telephone , 3, 10, 12, 13, 123, 193,

216, 217 television, TV , 2, 3, 10, 13–15, 19,

25, 28, 66, 94, 100, 107, 117, 179, 181, 189, 190, 205–9, 211, 212, 215

temptation , 187, 204 Tenner, Edward , 104, 177 Tennyson, Alfred Lord , 112 Terminator, The/Terminator , 191–6,

198–201 Tesla , 69 texting , 11, 25, 102, 222, 223, 233 Thamus , 114, 115 Theatrum , 43 The Culture , 46, 75, 97, 137, 235 Theogony , 21, 22

INDEX 277

therapy , 8 Theuth , 114, 115 Third Wave , 56, 57, 59, 67 Thomas the Tank Engine , 112 Thomson, Bobby , 146 Thoreau, Henry David , 75 “Thumbspeak” , 25 time , 1–3, 7, 10, 11, 13, 14, 17–19,

24, 25, 27, 32, 34, 35, 38–41, 43, 45–9, 51–60, 63, 65, 76, 77, 81–83, 87, 95, 96, 102, 110, 112–14, 117–19, 121, 122, 124, 128, 130, 132, 133, 139, 146, 147, 149, 152, 156, 158, 159, 162, 171, 172, 177, 180, 181, 183, 188–90, 192–5, 199, 204, 206, 208–11, 214, 216, 221, 222, 229, 235

Time Magazine , 173 Todorov, Tzvetan , 30, 32, 40, 197 Toffl er, Alvin , 56, 57, 59, 67 Tolstoy, Leo , 149 tool/s , 1, 2, 4, 6–10, 15, 22, 23, 40,

45, 63, 66, 69, 75, 78, 79, 118, 119, 142, 146, 153, 157, 158, 161, 178, 180, 204, 205, 207, 211, 223, 226

totalitarian, totality , 7, 12, 59, 64, 81, 82, 86, 95, 105, 164, 218

Transcendence , 190 transcend, transcendence , 53, 62, 68,

72, 81, 97, 106, 114, 144, 147, 160

transhuman , 51, 61 transportation , 2, 3, 9, 12, 16, 112,

207, 233 Treadwell, Sophie , 134 Trevithick, Richard , 46 truth , 33, 34, 61, 67, 72, 87, 95, 136,

163, 164, 173, 213, 231 Tubal-cain , 23 Tufte, Edward , 223

Turing test , 65 Turkle, Sherry , 102, 103, 109, 199,

229 Tweet, tweeting , 11, 13, 102, 222,

223, 233 Twitter , 10, 222, 223 Twitterbot , 223 2001: A Space Odyssey , 187, 201 typewriter, typewriting , 13, 134,

141, 142, 224

U Ubatoo , 148, 149, 205 Ulrich, Otto , 155, 166 unifi cation, unify, unite, unity , 36, 38,

39, 42, 54, 71, 84, 105, 198, 215, 222, 235

uniform, uniformity , 78, 84 Universal Lexikon , 5, 44 University of Phoenix , 213 unnatural , 139, 169, 199 Until the End of the World , 230 Utah Array/BrainGate , 182 utopia, utopian , 36, 48–50, 67, 68,

77, 81, 97–9, 105, 116, 120, 121, 125, 127, 156, 167

V Valéry, Paul , 112 value/s , 17, 30, 35, 36, 39, 51, 70,

78, 80, 83–6, 89, 93, 95–7, 104, 105, 109, 110, 130, 134, 142, 163–8, 184, 194, 197, 202, 216, 218, 219, 222, 225, 227, 229, 230, 234, 236

Vander Ark, Tom , 226 van der Laan, J.M., 255 Vaucanson, Jacques de , 23, 172 Veblen, Thorsten , 229 Venter, J. Craig , 180

278 INDEX

Verizon , 212 Verne, Jules , 113, 121, 129, 136 Vesalius, Andreas , 2, 169 Villiers de l’Isle-Adam, Auguste de , 126 violence , 168 virtual existence, reality, worlds , 60 Voltaire , 45, 63, 136, 149 Vonnegut, Kurt , 29, 139, 140, 144 Voyages Extraordinaires , 129 V-2 rocket , 143, 147

W Wachowski, Andy and Lana , 191 Walker, Kathy , 72, 99 Walker, Timothy , 35, 38, 47, 48, 55 Walmart , 208 Walsh, Scott , 176 Walther, Friedrich Ludwig , 46 war, warfare , 7, 13, 50, 51, 66, 67, 81,

95, 123, 141, 143, 162, 178, 192, 195

Warwick, Kevin , 182, 199, 200 Watson , 13, 181, 182 Watson, James , 179 Watt, Ian , 151 Watt, James , 152 wealth , 62, 67, 174 Weber, Max , 9 Weizenbaum, Joseph , 91–3, 98, 101,

228, 230, 232 well-being , 62, 68, 92, 96, 101, 138,

176, 218, 233 Wells, H.G. , 113 Wenders, Wim , 230 Werther , 160 White, Hayden , 30, 33 White, Jr., Lynn , 198 White Noise , 146 Wiener, Norbert , 81, 82, 91, 93, 101 Wikipedia , 4, 17, 45, 66 Wilhelm Meister , 122, 165 Wilson, Edmund O. , 29, 30

Winner, Langdon , 2, 15, 20, 92, 93, 113, 114, 131, 183, 219

Wired Magazine , 58, 64 Wisk , 207, 208 Wooldridge, Charles William , 50 word-processing , 224 Wordsmith , 227 Works and Days , 21, 22 WorldCat , 26, 27 worldview , 29, 35, 44, 47, 54, 56, 62,

72, 84, 110, 116 World Wide Web/Web , 25, 67, 71,

87, 96, 98, 99, 101, 102, 130, 147, 149, 176, 226

Worthy, James , 51 writing , 2, 17, 18, 24, 41, 47, 49, 52,

56, 65, 83, 100, 112, 113, 115, 132, 136, 139, 149, 165, 222, 226, 229–31

Writing Roadmap , 226 “wrongful life” , 103

X Xerox Ventura Publisher , 209

Y Yahoo! , 227 Young Doctor Frankenstein , 170 your verse , 221, 222 YouTube , 10

Z Zangger, Heinrich , 178 Zastrau, Alfred , 165 Zedler, Johann Heinrich , 5, 44 Zeit, Die , 25 Zeus , 21, 22, 173 Zola, Émile , 112, 128 Zonca, Vittorio , 42