INTELLIGENT SYSTEMS AND AGENTS + INTELLIGENCE + INFORMATION SOCIETY + BUSINESS, COGNITIVE SCIENCES...

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INTELLIGENT SYSTEMS AND AGENTS + INTELLIGENCE + INFORMATION SOCIETY + BUSINESS, COGNITIVE SCIENCES Prof. dr. Matjaž Gams MPŠ 2015 1

Transcript of INTELLIGENT SYSTEMS AND AGENTS + INTELLIGENCE + INFORMATION SOCIETY + BUSINESS, COGNITIVE SCIENCES...

Page 1: INTELLIGENT SYSTEMS AND AGENTS + INTELLIGENCE + INFORMATION SOCIETY + BUSINESS, COGNITIVE SCIENCES Prof. dr. Matjaž Gams MPŠ 20151.

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INTELLIGENT SYSTEMS AND AGENTS

+ INTELLIGENCE + INFORMATION SOCIETY

+ BUSINESS, COGNITIVE SCIENCES Prof. dr. Matjaž Gams

MPŠ

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INTELLIGENT SYSTEMS AND ROBOTICS INTELIGENTNI SISTEMI IN ROBOTIKA

Intelligent Systems and Robotics (ISR) are dealing with advanced information sciences and technologies including intelligent systems, ambient intelligence, business intelligence, evolutionary computation, cognitive sciences, humanoid robotics, computer vision, controlling robots and systems. These are key information society technologies enabling knowledge-based society.Evolutionary algorithmsHumanoid and service robotics Intelligent systems and agents Intelligent robot control Cognitive sciences Business intelligence Robot visionModern control systems seminar work + oral exam

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ACM Slovenia, SLAIS, DKZ, IAS, Informatika

Dictionary: Wikipedia style – enter new terms http://dis-slovarcek.ijs.si/ (računalniški slovarček) 12.000 gesel

Informatica PhD reports 2 pagesAmong best quoted Slovenian journals in Google, Scopus etc.

JSI department growth – E9, E8, E3 …Our now 35 members

Co-founder of ACM Slo, SLAIS, DKZ, IAS

Best application: employment agent first over 90% of jobsBest awards: best Slovenian innovation, best cooperation ..

SOCIETIES

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Competitions: EvAAL-AR 2013, first 10 in Tricorder

Victory at the annual competition in activity recognition – EvAAL-AR 2013 (Evaluating AAL Systems through Competitive Benchmarking)

CECIIS Varazdin, 23.9.2015 4

Data preprocessing

Fall

ActivityThree layer

Activity Recognition

Fall Detection

Bluetooth

Dublin (Ir

eland)

Chiba'12 (Ja

pan)

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pan)

CMU&Utah (U

SA)

Seville

'13 (Spain

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CNR (Italy

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Seville

'12 (Spain

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JSI (S

lovenia)

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Matjaž Gams Institut “Jožef Stefan”

The Intelligent Future is

Near 52015

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AI ENDANGERS HUMAN EXISTENCE

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• Elon Musk, the billionaire chief executive of SpaceX and Tesla Motors and a techno-optimist

• Bill Gates• Stephen Hawking• ….

„The development of full artificial intelligence could spell the end of the human race“

CECIIS Varazdin, 23.9.2015

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SUPERINTELLIGENCE

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• Bostrom, N. 2014. Superintelligence – Paths, Dangers, Strategies. Oxford University Press, Oxford, UK.(100 Global Thinkers)

• Future of Life Institute: „Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls“

• Relations when computers surpass humans3 forms of superintelligence: speed, collective, qualityIntelligence can not be controlled Depending on the form, AI will be more or less dangerous

CECIIS Varazdin, 23.9.2015

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AI PROGRESSExamples of AI progress

 

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• Self-driving cars: Google car: over 1 million miles without accident fault,several cars with lane assist

• Computers surpass humans in symbolic tasks like chess, Jeopardy, IQ tests, verbal IQ tests (Microsoft Beijing, 2015; an average person)

• Autonomous robots (walking, flying)

CECIIS Varazdin, 23.9.2015

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Areas of interest• (Co)founder: ACM Slovenia, SLAIS, DKZ, SATENA, IAS• Head of RR IAS, president ACM Slovenia• English-Slovene dictionary: http://dis-slovarcek.ijs.si/ 12.000 entries• Managing editor of Informatica journal, 10 journals• Applications: employment agent first over 90% of jobs, 200 projects• Several H2020 projects, e.g. InLife, HeartMan, …• Patents: 7, journal papers 100, entries 1100 • Rewards: best Slovenian innovation, best cooperation ..• Research: principle and paradox of multiple knowledge .., • Lectures: Jozef Stefan International Postgraduate School, Alma Mater

Europaea, Faculty of Economics, Faculty of Computer and Information Science, Faculty of Arts, School of Business and Management, University of Applied Sciences, Faculty of Management, Faculty of Maritime and Transport, Faculty of Education, Faculty of Social Sciences

• 20 courses: Intelligent systems and agents, Business intelligence, Cognitive sciences

• Area of interest: AI, AmI, intelligent homes, cities, em-health, genetic algorithms, natural language, deep learning, data mining

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DEFINITIONS OF INTELLIGENCE

Intelligence has been defined in different ways, including the abilities for abstract thought, understanding, communication, reasoning, learning, planning, emotional intelligence and problem solving.

Intelligence is most widely studied in humans, but has also been observed in animals and plants.

Artificial intelligence is the intelligence of machines or the simulation of intelligence in machines.

Numerous definitions of and hypotheses about intelligence have been proposed since before the twentieth century, with no consensus reached by scholars.

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DEFINITIONS OF INTELLIGENCE

Is there a universal definition of intelligence?

Natural intelligence (humans, animals, plants),

Artificial intelligence,

Engineering intelligence.

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DEFINITION OF ARTIFICIAL INTELLIGENCE

Wikipedia: Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it.

AI textbooks define the field as "the study and design of intelligent agents"[2] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.

[3] John McCarthy, who coined the term in 1956,[4] defines it as "the science and engineering of making intelligent machines."[5]

(Artificial intelligence has been the subject of breathtaking optimism, has suffered stunning setbacks and is today an essential part of the technology industry, computer science and IS.)

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ARTIFICIAL INTELLIGENCE

Russell and Norvig ARTIFICIAL INTELLIGENCE:

A Modern Approach

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DEFINITION OFINTELLIGENT SYSTEMS

Intelligent system is a system that learns during its existence.

It senses its environment and learns, for each situation, which action permits it to reach its objectives.

It continually acts, mentally and externally, and by acting reaches its objectives.

To reach its objective it has to select its response. A simple way to select a response is to select one that was favorable in a similar previous situation.

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PROPERTIES OF INTELLIGENT SYSTEMS

LearningFlexibilityAdaptationExplanationDiscovery

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DEFINITION OF INTELLIGENCEDefinition: An intelligent entity is capable of learning. What learns is intelligent.

An intelligent entity is an intelligent system.

Engineering definition: More advanced than current classical solutions (may not learn).

According to Wikipedia: A thermostat is an intelligent agent.

Our definition: an intelligent agent learns.

An intelligent agent without learning is just an agent.

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NATURAL INTELLIGENCE Humans, animals, plants?

Do animals really think?- Tools (birds, apes)- Joy, empathy, greed (apes,

orkas, elephants, pigs)

Are animals getting smarter?(humans + aliens?)(interactions with humans, wash food, crash walnuts)

Are viruses intelligent?

All beings are!

Different levels of intelligence.Sort dogs by intelligence.

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ANIMAL EXTINCTIONS

Extinctions 100 times faster than normal, 100 species per day – 6th extinctionHumans are responsibleHumans are getting more environmentally aware

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Intelligence = better predictions, better reaction. More energy consumption – 25%.Sexual attraction? Anthropological principle.

Tool evolution?

HUMAN INTELLIGENCE

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HUMAN SPECIES European Neanderthals •Very similar to us, big brained•Europe 230.000-25.000 years•Reason: climate, our species •Genetic cross-breading with Europeans-us

Homo Floresiensis •Indonesian island 95,000 – 17,000 / 10.000 / 5.000 (folk saying) •1m, brain size of an orange•Folk saying: we burned them out

•Sounds similar to animal extinctions?CECIIS Varazdin, 23.9.2015 21

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Dwarf humans

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Scientists have discovered a tiny species of ancient human that lived 18,000 years ago on an isolated island east of the Java Sea -- a prehistoric hunter in a "lost world" of giant lizards and miniature elephants. These "little people" stood about three feet tall (1 m) and had heads the size of grapefruit. They coexisted with modern humans for thousands of years yet appear to be more closely akin to a long-extinct human ancestor.

Prebivalci okoliških vasi pripovedujejo zgodbe o teh „malih ljudeh“, ki so živeli v pečinah. Ženske so metale prsi čez rame. Ker so jim kradli otroke, so se njihovi predniki enkrat razjezili in jih požgali. 2015

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DEMOGRAPHY

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COMPUTERS Chess, JEOPARDY …

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Different speed, different life span

Moč procesiranja

Čas

Ljudje

Računalniki

HUMAN INTELLIGENCE VS. COMPUTERS

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HUMAN INTELLIGENCE VS. COMPUTERS

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Moč procesiranja

Čas

Ljudje

Računalniki

Ljudje + Računalniki = Informacijska družbad

Flynn

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HUMAN INTELLIGENCE AND COMPUTERS

Compuers are tools for enhancing our mental capabilities

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Processing power

Time

Human

Computers

People + Computers = Information societyFlynn +30

Kurtzweil

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HUMAN/COMPUTER INTELLIGENCE

Drake’s equation

Kurtzweil

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Human-level intelligence In

tell

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H u m a n - le v e l in te ll ig e n c e

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P r in c ip le o f m u ltip le k n o w le d g e

C o m p u te r in te llig e n c e

Unknown barrier

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NEURON Connected to 10.000 each, a switch?

Stanford 2010: … the brain’s overall complexity is almost beyond belief, said Smith. “One synapse, by itself, is more like a microprocessor —with both memory-storage and information-processing elements — than a mere on/off switch. In fact, one synapse may contain on the order of 1,000 molecular-scale switches. A single human brain has more switches than all the computers and routers and Internet connections on Earth,” he said.…neuroscientists uncovered strong evidence that neurons also communicate with each other through weak electric fields. The study, published in the journal Nature Neuroscience, by Dr Costas Anastassiou (Caltech), explains how every time an electrical impulse races down the branch of a neuron, a tiny electric field surrounds that cell ..

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HUMAN INTELLIGENCE VS. COMPUTERS

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HUMAN INTELLIGENCE

10-30 types of intelligence: general, symbolic, emotional, abstract, motion, visual, speech, read-write, music …

Emotional intelligence (EI) is a skill or ability in the case of the trait EI model, a self-perceived ability to identify, assess, and control the emotions of oneself, of others, and of groups. Various models and definitions have been proposed of which the ability and trait EI models are the most widely accepted in the scientific literature. Criticisms have centered on whether the construct is a real intelligence and whether it has incremental validity over IQ and the Big Five personality dimensions.

Flynnov effect / smarter people have less children

IQ tests of different kinds: specific, integral …Advanced

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HUMAN INTELLIGENCE

IQ is the best single predictor of success at job. People with higher IQ have higher title, status, income, live longer and healthier. And vice versa.

(W: individuals with low IQs are more likely to be divorced, have a child out of marriage, be incarcerated, and need long-term welfare support).

What is this – a political lecture?? This is too sensible?

The world is not as it seems!(commercial, political, popular, semi-popular, scientific)

Science, facts, empirical verification, platonismEngineers: Science should deal with relevant issues. What is your opinion?

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HUMAN INTELLIGENCE

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DISTRIBUTIONS: big/small, M/W, religious, use of browser …no major difference!Sobotna priloga 12.3.2011 Resetiranje v 23 tezah

HUMAN INTELLIGENCE

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Can we use intelligent systems to influence our lives?Example: oil price predictions

USING INTELLIGENCE FOR PREDICTIONS AND ANALYSES

Max production in 10-20 yearsJumps up and downNo reliable short-term predictions possible.

Can we predict better?GAMS, Matjaž. "Inteligentno" napovedovanje cen nafte : umetna inteligenca in inteligentni sistemi. Delo (Ljubl.), 2.9.2004, str. 18, Znanost. [COBISS.SI-ID 18432295]

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We can predict future! The end of cheap oil – on general it will be more expensive

Another prediction/interpretation: Peak oil is one of the real causes of our crisis (or is it neoliberalism and lack of governmental controlor demographic issues / retirenment reform)

Practical consequences of the prediction: What heating (cofound alternative), which insulation?Waste separation??

What do you conclude about future progress from these assertions?

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COULD WE PREDICT DEMONSTRATIONS IN SLOVENIA?

24.11.Po moje ima vlada pred sabo okno verjetno nekaj tednov ali mesecev, ko lahko - vztraja na sedanjih načrtih, kar bo prineslo stavke, konflikte in zaostrovanje z zelo slabo perspektivo za vlado, SDS, Slovenijo ... - s spremembami vsaj razširi to okno oz. morda celo prepreči negativno pot v čedalje hujše konflikte Po tem času se ne bo dalo več tako učinkovito reagirati in spremeniti javnega mnenja.

Kakšne bi bile te spremembe? Nekaj predlogov: - "čista lopata" v politiki, zakonih, sodstvu ... To pomeni, da se proglasi nujnost očiščenja slovenske politike in drugih odgovornih, tudi sodstva, da se spremeni zakonodaja - popustiti pri proračunu, oz. se začeti pogajati s sindikati, ter uvesti druge ukrepe kot odstopanje od samo strogega neoliberalističnega principa rezanja javnega sektorja in varčevanja.

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DISCUSSION

What is intelligence?What is science/ scientific?

A superior level of understandingand predictions

Knowledge and intelligence enable better predictions and performance