Registration Brochure 2011 AAAI Fall Symposium Series · Sponsored by the Association for the...

Registration Brochure

2011 AAAI Fall Symposium Series �

November 3–6, 2011 � The Westin Arlington Gateway, Arlington, Virginia

Sponsored by the Association for the Advancement of Artificial Intelligence� 445 Burgess Drive, Menlo Park, California 94025 USA � [email protected]

� 650-328-3123 � 650-321-4457 (fax) � [email protected] � www.aaai.org/fss11.php

The Association for the Advancement of Artifi-cial Intelligence is pleased to present its 2011 FallSymposium Series, to be held Friday throughSunday, November 4–6 at the Westin ArlingtonGateway in Arlington, Virginia, adjacent toWashington, DC. The Symposium Series will bepreceded on Thursday, November 3 by a one-dayAI funding seminar. The titles of the seven sym-posia in the 2011 Fall Symposia Series are as fol-lows:� Advances in Cognitive Systems� Building Representations of Common

Ground with Intelligent Agents� Complex Adaptive Systems: Energy, Informa-

tion and Intelligence� Multiagent Coordination under Uncertainty� Open Government Knowledge: AI Opportu-

nities and Challenges� Question Generation� Robot-Human Teamwork in Dynamic Ad-

verse Environment

The highlights of each symposium will be pre-sented at a special plenary session. Notes will beprepared and distributed to participants in eachsymposium, but will not otherwise be availableunless published as an AAAI technical report oredited collection.

Each symposium will have limited attendance.Participants will be expected to attend a singlesymposium throughout the symposium series. Inaddition to participants selected by the programcommittee of the symposia, a limited number ofother interested parties will be allowed to registerin each symposium on a first-come, first-servedbasis. To register, please fill out the registrationform, and send it along with payment to:

2011 Fall Symposium SeriesAAAI445 Burgess DriveMenlo Park, CA 94025-3442Telephone: (650) 328-3123*Fax: (650) 321-4457*Email: [email protected]*

*Credit card orders only, please. Please note thatthere are security issues involved with the trans-mittal of credit card information over the inter-net. AAAI will not be held liable for any misuse ofyour credit card information during its transmit-tal to AAAI. Online registration is also available at www.aaai.org/Symposia/Fall/fss11.php, along with this doc-ument.

2 AAAI FALL SYMPOSIA

Tentative Program Schedule

(subject to change)

Thursday, November 3

9:00 AM – 5:00 PM: AI Funding Seminar

Friday, November 4

9:00 AM – 5:30 PM: Symposia sessions6:00 PM – 7:00 PM: Reception

Saturday, November 5

9:00 AM – 5:00 PM: Symposia sessions6:00 PM – 7:15 PM: Plenary session

Sunday, November 6

9:00 AM – 12:30 PM: Symposia sessionsRegistration will be located in the Fitzgerald

Ballroom Foyer on the Second Level.

Photo courtesy Arlington Convention and Visitors Bureau

Over the past 20 years, artificial intelligence hasmade substantial progress on many fronts, butonly at the cost of fragmenting into subfields thatfocus on some facets to the exclusion of others.However, there remains a need for research thatpursues the discipline’s original goal of develop-ing intelligent systems that demonstrate the fullrange of human cognitive abilities. Many AI re-searchers remain committed in this goal, but theyhave no common place to gather and report theirresults.

The AAAI Fall Symposium on Advances inCognitive Systems will provide such a venue. Themeeting will bring together researchers with in-terests in human-level intelligence, complex cog-nition, integrated intelligent systems, cognitivearchitectures, commonsense reasoning, and re-lated topics. The event harks a return to the initialgoals of artificial intelligence and cognitive sci-ence, which aimed to explain intelligent behaviorin computational terms and to reproduce the en-tire range of human cognition in computationalartifacts.

Topics covered at the meeting will include therepresentation and organization of complex men-tal structures, their use in multistep reasoningand problem solving, and their acquisition fromexperience and instruction. Talks, posters, anddiscussions will address computational ap-proaches to conceptual inference and reasoning,memory storage and retrieval, high-level execu-tion and control, problem solving and heuristicsearch, language processing, social cognition andinteraction, structural learning and knowledgecapture, and metacognition. The common de-nominator is that research on these issues con-tributes toward creating and understanding com-plete intelligent systems.

The entire AI community stands to benefitfrom a meeting that draws attention to the field’soriginal aspirations, but we especially encourageparticipation by researchers who have beentrained only in one of the more focused subareas.The symposium hopes to expose a new genera-tion of AI researchers to the challenges that wemust address to build cognitive systems with hu-manlike abilities.

Organizing Committee

Paul Bello (Office of Naval Research), Nick Cas-simatis (Rensselaer Polytechnic Institute), Ken-neth Forbus (Northwestern University), JohnLaird (University of Michigan, Ann Arbor), PatLangley (Arizona State University), Sergei Niren-burg (University of Maryland, Baltimore Coun-ty)

For More Information

For more information about the symposium seethe supplementary symposium web site (www.cogsys.org).

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TopicsComponents of common ground include, but arenot limited to, background knowledge, worldknowledge, presuppositions, mutual knowledge,mutual beliefs, beliefs about beliefs, and conver-sational maxims.

Examples of how these components may havebeen incorporated into current work includebuilding of shared histories between actors; rep-resentations of beliefs or beliefs about beliefs;identifying and representing suppositions andpresuppositions; reasoning about other actors’beliefs; creating untruthful or deceptive commonground; formalizations of any common groundcomponent; agents or models that use commonground components in interaction; discourse ordialogue models which use some aspect of com-mon ground; extraction of perlocutionary actionsor effects from utterances; inferring commonground; and using common ground to groundreferents.


Sam Blisard (Naval Research Laboratory,[email protected]), Will Bridewell (Stan-ford Center for Biomedical Informatics Research,[email protected]), Wende Frost (Naval Re-search Laboratory, [email protected]),Arthi Murugesan (Naval Research Laboratory,[email protected]), Candace Sid-ner (Worcester Polytechnic Institute,[email protected]), Alan Wagner (Georgia TechResearch Institute, [email protected])


For more information about the symposium seethe supplementary symposium web site (sites.google.com/site/buildingcommonground2011).

Much of the success of natural language inter-action is caused by the participants’ mutual un-derstanding of the circumstances surroundingthe communication. These circumstances rangefrom reminiscing about a shared experience, suchas a birthday party, to coordinating firefightingefforts amongst a team using joint beliefs aboutmutual capabilities. This mutual understandingof perceived context is termed common ground,and is made up of all of the background andshared information that will lead to the eventualsuccess of the communication. Some measure ofcommon ground is used in most, if not all, suc-cessful interactions between human actors. Forhumans to have a convincing and beneficial ex-perience interacting with intelligent agents, theagents must have mechanisms that support thefundamentals of common ground. Otherwise, theconsequence may be unsuccessful and incom-plete interactions.

This symposium aims to bring together re-searchers from robotics, artificial intelligence, hu-man-computer interaction, computational lin-guistics, and cognitive modeling to share their di-verse perspectives on common ground and itscomponent factors. This investigation of how ex-isting work explicitly or implicitly uses aspects ofcommon ground will bring us closer to a practi-cal approach for a complete common ground inintelligent, computational agents. Work to be pre-sented may consist of currently implemented ap-plications that contain common ground compo-nents, theoretical formalisms of these compo-nents, proposed frameworks, and work inprogress.

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Complex adaptive systems (CAS) and relatedtechnologies have proven to be a powerful frame-work for understanding system-level phenomenaacross the physical, natural, and social sciences.We characterize a general CAS model as having asignificant number of autonomous agents thatuse one or more levels of feedback; exhibit emer-gent properties and self-organization; or producenonlinear dynamic behavior.

This symposium’s theme addresses fundamen-tal issues for understanding complex phenome-na: Energy, Information, and Intelligence. Thistheme builds upon the previous years’ focus ofthreshold effects (2009) and resilience, robust-ness, and evolvability (2010).

Energy in a CAS is often more than merelyphysical energy; it is anything that drives andconstrains the system. Agents must cooperateand/or compete for limited resources, whetherthese resources are “energy,” “power,” “food,”“money,” or some other system resource. The suc-cess or failure of various agent strategies dependson their effectiveness in acquiring and utilizingthese resources.

Information represents any form of verbal,nonverbal or even nonhuman communication.Information represents what the agents know orlearn about their local environment. Papers relat-ing to the theme of information may, for exam-ple, cover signal patterns and effects, signal pro-cessing, or information storage (memory). Flowsof information itself may also be the focusof CAS research, such as in models of politicaldissent, social contagion, or the dynamical flowsacross networks.

Intelligence encompasses how agents react toany information that they acquire from the envi-ronment, as well as the system-level propertiesthat emerge from these actions and reactionsthrough patterns of correlated feedbacks. Thus,intelligence may refer to the agents themselves orto the system as a whole. Such intelligence can ex-ist at almost any level of complexity, from simpleexamples of swarm intelligence to complex hu-man cognition.

FormatOur symposium will have invited talks from lead-ers in the field, as well as paper presentations onboth completed and speculative work. Due to thenature and the novelty of the theme, it is essentialto allow ample time for both open-ended and tar-geted discussions; as such, we will hold panel dis-cussions, roundtable talks, and a poster session,to allow for a spirited interaction among partici-pants.

Organizing and Program Committee

Mirsad Hadzikadic, chair (University of NorthCarolina, Charlotte), Ted Carmichael, cohair(University of North Carolina, Charlotte), MarkAltaweel (University of Chicago), Tony Beavers(University of Evansville), Aaron Bramson (Uni-versity of Toronto), Matthieu Branlat (OhioState), Patrick Grim (SUNY Stony Brook), LizJohnson (University of North Carolina, Char-lotte), Ardeshir Kianercy (University of SouthernCalifornia), Kiran Lakkaraju (Sandia NationalLaboratory), Megan Olsen (University of Massa-chusetts, Amherst), Jonathan Ozik (Argonne Na-tional Laboratory), Mark Pizzato (University ofNorth Carolina, Charlotte), Bill Rand (Universi-ty of Maryland), Bob Reynolds (Wayne State Uni-versity), Molly Rorick (Yale University), JohnStamper (Carnegie Mellon University), ForrestStonedahl (Northwestern University), PaulYoungman (University of North Carolina, Char-lotte), Tina Yu (Memorial University of New-foundland).


For more information about this symposium, andfor submission guidelines and links, please visitthe supplemental symposium website (sites.google.com/site/complexadaptivesystems2011/),or email cochair Ted Carmichael at [email protected].

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the current decision epoch can change. Such de-pendence on history makes the coordinationcomputationally expensive and one of the keyreasons for reduced scalability.

Objective: Due to the lack of certainty about theworld, the goal can be one of: (1) maximizing ex-pected value of all the agents involved; (2) maxi-mizing the probability of achieving the goal; (3)minimizing or preventing certain bad states ofthe world; or many others.

Researchers from various communities, suchas artificial intelligence, operations research,game theory and logistics (supply chain) com-munities, have been actively pursuing the variousaspects (mentioned above) of the problem. Thegoal of this symposium is to bring together theseresearchers to discover and/or better understandthe commonalities in the hope of making funda-mental breakthroughs in the field.


Pradeep Varakantham (Singapore ManagementUniversity), Janusz Marecki (IBM T. J. Watson),William Yeoh (University of Massachusetts,Amherst), Paul Scerri (Carnegie Mellon Univer-sity)


For more information about the symposium seethe supplementary website (www.mysmu.edu.sg/faculty/pradeepv/aaaifs.html).

In domains ranging from earth observing sensorwebs to collaborating ambulances or fire fightersduring disaster rescue or software personal assis-tants scheduling meetings to “coordinators” as-sisting in executing military missions or explo-ration of underwater terrains using autonomousunderwater vehicles (AUVs) to handling largescale humanitarian logistics, multiple intelligentagents need to coordinate in the presence of un-certainty to achieve team goals. While there havebeen many interesting models and frameworkspresented for addressing and solving various sub-aspects of the problem, the algorithms employedfor solving the models have had to trade off be-tween richness in representation and scalability.In fact, the key hindrances to achieving scalableand quality guaranteed coordination betweenagents are as follows:

Uncertainty: This can arise due to: probabilisticeffects of actions taken by agents, inability ofagents (either individually or collectively) tocompletely observe the world, partial availabilityor unavailability of communication, partiallyknown or unknown motivations of other agents,and so on.

Coordination horizon: The total number of de-cision epochs for which agents need to coordinateaffects the solution methodology. Depending onthe number of decision epochs left and the histo-ry of agent decisions, the coordination decision at

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The 2011 AAAI Fall Symposium on Open Gov-ernment Knowledge: AI Opportunities and Chal-lenges (OGK2011) is focused on issues of pub-lishing public government data as reusableknowledge on the web.

Websites such as data.gov, research.gov, andUSASpending.gov aim to improve governmenttransparency, increase accountability, and en-courage public participation by publishing publicgovernment data online. Although this data hasbeen used for some intriguing applications, it isdifficult for citizens to understand and use. Thissymposium will explore how AI technologiessuch as the semantic web, information extraction,statistical analysis and machine learning can beused to make the knowledge embedded in the da-ta more explicit, accessible and reusable. Thesymposium’s location of Washington, DC will fa-cilitate the participation of U.S. federal govern-ment agency members and enable interchangebetween researchers and practitioners. We alsoexpect attendance of international open govern-ment data players from countries such as theUnited Kingdom and Australia.

Relevant topics include the automatic andsemiautomatic creation of linked data resources,ontologies for government data, entity linkingand coreference detection between linked data re-sources, adding temporal qualifications to gov-ernment data, creating mashups with open gov-ernment data, linked open government dataanalysis, metadata for provenance, certainty and

trust, policies for information sharing, privacyand use, social networks and government data,machine learning applied to government data,data visualization techniques, and applications.

This symposium will include a mixture of in-vited talks, paper presentations, panels, systemdemonstrations, a poster session, and discus-sions. We plan to have several invited speakersdrawn from government, academia and industry.We will run panels on the emerging challengesand best practices, including how to enhancetransparency and interoperability within anagency and across different agencies/countries,and how to promote a nationwide health infor-mation network that effectively integrates gov-ernment-curated public records and citizens’ per-sonal health data.


Li Ding (RPI), Tim Finin (UMBC), Lalana Kagal(MIT), and Deborah McGuinness (RPI). Pro-gram committee members and additional infor-mation are listed on the OGK2011 symposiumsite.


For more information about the symposium,send email inquiries to [email protected] or visit the supplementary website (tw.rpi.edu/ogk2011).

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chology, and education. The symposium will fea-ture thematic sessions, panel discussions, break-out sessions, and interactive poster and demo ses-sions. There will be two keynote speeches. Sym-posium participants will engage in multidiscipli-nary discussions on the following topics:

� Cognitive models of question generation

� Question taxonomies

� Empirical approaches to question generation

� Question generation tasks and subtasks

� Impact of NLP technologies on question gen-eration tasks

� Target concept selection for question genera-tion

� Context-sensitive question type selection orranking

� Descriptions of implemented systems orcomponents

� Applications of question generation (intelli-gent tutoring systems, dialogue systems, andothers)

� Generation from different inputs – knowl-edge bases, ontologies, text, queries

� Future of QGSTECs

Our goal for this year’s meeting is to create an en-vironment for an active exchange of ideas amongresearchers working on the question generationproblem from different perspectives, and to moveforward as a community in designing focusedquestion generation tasks.


Arthur Graesser (University of Memphis, USA),James Lester (North Carolina State University,USA), Jack Mostow (Carnegie Mellon University,USA), Rashmi Prasad (University of Pennsylva-nia, USA), Svetlana Stoyanchev (The Open Uni-versity, UK)


For more information about the symposium seethe supplementary symposium web site (ques-tiongeneration.org/QG2011).

Asking questions is a fundamental cognitiveprocess that underlies higher-level cognitive abil-ities such as comprehension and reasoning. Re-search on question generation (QG) has a longhistory in artificial intelligence, psychology, edu-cation, and natural language processing, and hasfar-reaching applications in intelligent technolo-gies, such as dialogue systems, question answer-ing systems, web search, intelligent tutoring sys-tems, automated assessment systems, inquiry-based environments, adaptive intelligent agentsand game-based learning environments.

Interest in question generation has been steadi-ly growing over the past few years. The 2011 Sym-posium on Question Generation follows threeprevious workshops (held in 2008, 2009, and2010), which resulted in the first Question Gen-eration Shared Task and Evaluation Campaign.Detailed information on these previous events areavailable at the supplementary website.

This symposium aims to foster theoretical andapplied research on computational and cognitiveaspects of question generation, featuring involve-ment of participants from diverse disciplines in-cluding, but not limited to, natural language pro-cessing, artificial intelligence, linguistics, psy-

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The goal of this symposium is to discuss collab-oration between humans and robots in situationswhich require all to continuously adapt to devel-oping events. Examples are adverse circum-stances encountered during emergency respons-es in various types of search and rescue missions,or security or military deployments. Adaptationneeds to reflect changes both in what is to be doneby human and robot (the tasks), and in how theyare supposed to do so (the roles). It needs to ex-plicitly couple the task-work with the social as-pects of team-work for the human-robot team tomaintain cohesive, effective operations. Whatmakes this difficult is that humans are performingunder stress. And that robots, so far, are far frombeing well-tuned to the human factor in human-robot collaboration.

Topics and Intended Audience

The symposium aims to bring together scientistsfrom different research areas with a common in-terest in the human factor in human-robot andmultirobot collaboration in dynamic adverse en-vironments, to answer an emerging issue in cog-nitive modelling for human-robot teams. Topicsthat are core to the symposium are the following:

� Cognitive modelling of human and robotworkload in stressing situations

� Doctrines and strategies for adaptive multi-modal team communication

� Robust decision making for instant or recip-rocal urgencies

� Attention and cogni-tive perception of envi-ronments and events

� Joint planning, mixedinitiative planning andjoint collaborationschedules

� Situation awarenessand robot-operatorcommunication

� Performance metricsof joints operations

� Risk and ethical con-siderations of human-robot collaboration

Format

There are 4 invited speak-ers, Ron Arkin (GeorgiaTech), Jeff Bradshaw(Florida Institute for Hu-

man and Machine Cognition), Maarten Sierhuis(PARC’s Knowledge) and Satoshi Tadokoro, di-rector of the International Rescue Systems Insti-tute, who is the leading rescue robots researcherin Japan.

The symposium will combine a variety of ac-tivities intended to facilitate interaction amongparticipants from different communities and dis-cussion of key challenges in bridging research inhuman factors, human-robot interaction, collab-orative planning, and teamwork modelling. Theseactivities will include, 13 individual technical pre-sentations, two panels on risks and ethic in team-ing, and how could we model human-robot teamsin dynamic adverse environments? Two breakoutdiscussion sessions focused on developing aroadmap to facilitate crosscutting research in hu-man-robot teaming, on multimodal interfacesand on how to get prepared for emergencies.


Jeff Bradshaw, Alexander Ferrein, Vaclav Hlavac,Gerhard Lakemeier, Geert Jan Kruijff, LeoraMorgenstern, Mark Neerincx, Fiora Pirri, RolandSiegwart, Hartmut Surman, Tomoichi Takahashi,Roland Siegwart, Mary-Anne Williams


For more information about the symposium seethe supplementary symposium web site(www.dis.uniroma1.it/~alcor/aaai2011sym-pRHTDAE/index.php?page=home).

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Hotel Information

For your convenience, AAAI has reserved a blockof rooms at the Westin Arlington Gateway. TheWestin Arlington Gateway is located in the Ball-ston area of Arlington. It is a short walk from theBallston Metro Station, which allows guests toeasily explore Arlington, downtown Washington,DC, Alexandria, or Georgetown. Reagan Nation-al Airport is easily accessible via the WashingtonMetro rapid transit.

The conference room rate per night is $169.00(single/double).

Rates do not include applicable state and localtaxes (approximately 10.25%), or hotel fees in ef-fect at the time of the meeting. Symposium atten-dees must contact the Westin Arlington Gatewaydirectly. Please request the group rate for the Asso-ciation for the Advancement of Artificial Intelli-gence (AAAI) when reserving your room. The cut-off date for reservations is October 10, 2011 at5:00 PM EDT. Reservations after this date will beaccepted based on availability at the hotel’s pre-vailing rate. All reservations must be secured byone night’s deposit per room, via credit card.Reservations may be cancelled with no penalty upto 6:00 PM, 72 hours prior to the date of arrival.After that time, a penalty of one night’s room andtax will be incurred. Upon check-in, date of de-parture must be confirmed. Early departure willresult in a fee equal to one night’s guest room rate.

Westin Arlington Gateway801 North Glebe RoadArlington, Virginia 22203 USAFax: +1 703 717-6260Reservations: +1-800-937-8461 (referenceAAAI)Online Reservations:www.starwoodmeeting.com/Book/aaaifall2011

ALL ATTENDEES MUST PREREGISTER.Each symposium has a limited attendance, withpriority given to invited attendees. All acceptedauthors, symposium participants, and other in-vited attendees must register by September 16,2011. After that period, registration will beopened up to the general membership of AAAIand other interested parties. All registrationsmust be postmarked by October 14, 2011.

The conference registration fee includes ad-mission to one symposium, one CD of sympo-sium technical report, coffee breaks, and theopening reception.

Checks (drawn on US bank) or internationalmoney orders should be made out to AAAI.VISA, MasterCard and American Express are al-so accepted. Please fill out the attached registra-tion form and mail it with your fee to:

AAAI 2011 Fall Symposium Series445 Burgess DriveMenlo Park, CA 94025 USA

If you are paying by credit card, you may emailthe form to [email protected] or fax it to (650) 321-4457. Registration is also available online atwww.aaai.org/Symposia/Fall/ fss11.php

Please note: All refund requests must be inwriting and postmarked by October 21, 2011. Norefunds will be granted after this date. A $75.00processing fee will be levied on all refunds grant-ed.

When you arrive at the Westin Arlington Gate-way, please pick up your complete registrationpacket at the registration area.

Registration hours will be as follows:

� Thursday, November 38:00 AM – 5:00 PM

� Friday, November 48:00 AM – 5:00 PM

� Saturday, November 58:30 AM – 5:00 PM

� Sunday, November 68:30 AM – 11:00 AM

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Airport Transportation

Transportation from the airport is availably bymetro, taxi, rental car, and shuttle.

Metro RailMetro service is available from Reagan NationalAirport to The Westin Arlington Gateway. Thecost is approximately $2.60 per person one way.Take the Blue Line towards Largo Town CenterMetro Station and arrive at Rosslyn Metro Sta-tion. Transfer to the Orange Line towards Vien-na/Fairfax GMU. Arrive at Ballston Metro Stationand walk .30 mile SW to The Westin ArlingtonGateway.

Rail System Map: For a metro rail system map,visit wmata.com (www.wmata.com/rail/maps/map.cfm)

Metro Station Map: For a map of the stationarea in relation to the Arlington Gateway, pleasesee the StationMasters website (www.stationmas-ters.com/System_Map/BALLSTON/ballston.html) or the Washington Metropolitan Area TransitAuthority website (www.wmata.com/rail/sta-tion_detail.cfm?station_id=99).

ShuttleThe Super Shuttle van service will take guests di-rectly from the airport to The Westin ArlingtonGateway. The shuttle service picks up passengersoutside of the terminal. Approximate costs fromeach of the airports are listed below and may besubject to change. Please visit the website(www.supershuttle.com) or call Super Shuttle toconfirm current rates (800-BLUE-VAN [258-3826]):

Reagan National Airport: $14.00 for a sharedride one way

Dulles International: $29.00 for a shared vanone way

Baltimore-Washington: $48.00 for a sharedride one way

CarTake the George Washington Memorial ParkwayNorth, and then merge onto I-395 South towardRichmond. Merge onto Washington Boulevardvia Exit 8A toward Ridge Road and then onto US-50 W/Arlington Boulevard toward Falls Church.Take the Glebe Road exit, turn right onto NorthGlebe Road/VA-120 North. The hotel is on theright.

For directions from Washington Dulles Air-port or other points, please see the Starwood Ho-tels website (www.starwoodhotels.com/westin/property/overview/index.html?propertyID=1513) and click on “Local Area.”

ParkingValet parking is available at the Westin ArlingtonGateway for a maximum of $24.00 perday/overnight.

TaxiApproximate one-way taxi fares from area air-ports are:

Reagan National Airport: $25.00Dulles International: $50.00Baltimore-Washington: $90.00

For all transportation options to the Westin Ar-lington Gateway please visit the hotel website(www.starwoodhotels.com/westin/property/area/transportation.html?propertyID=1513).

Disclaimer

In offering the Westin Arlington Gateway (here-inafter referred to as “Supplier”), and all otherservice providers for the AAAI Fall SymposiumSeries, the Association for the Advancement ofArtificial Intelligence acts only in the capacity ofagent for the Supplier, which is the provider ofhotel rooms and transportation. Because the As-sociation for the Advancement of Artificial Intel-ligence has no control over the personnel, equip-ment or operations of providers of accommoda-tions or other services included as part of theSymposium program, AAAI assumes no respon-sibility for and will not be liable for any personaldelay, inconveniences or other damage sufferedby symposium participants which may arise byreason of (1) any wrongful or negligent acts oromissions on the part of any Supplier or its em-ployees, (2) any defect in or failure of any vehicle,equipment or instrumentality owned, operated orotherwise used by any Supplier, or (3) any wrong-ful or negligent acts or omissions on the part ofany other party not under the control, direct orotherwise, of AAAI.

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Registration Form

AAAI 2011 Fall Symposium Series

ALL ATTENDEES MUST PREREGISTER � Please complete in full and return to AAAI, postmarked by September 16, 2011 (invited attendees) or by October 14, 2011 (general registration).

Please print or type (registration cannot be processed if information is incomplete or illegible):

First Name __________________________________ Last Name __________________________________________________

Company or Affiliation ____________________________________________________________________________________

Address ________________________________________________________________________________________________Home �� or Business �

City ___________________________________________________________________________ State ___________________

Zip or Postal Code ___________________________ Country ____________________________________________________

Daytime Telephone ___________________________ E-mail Address ______________________________________________

Symposium

I will attend the following symposium: (Please check only one of the following symposia)

� 1. Advances in Cognitive Systems

� 2. Building Representations of Common Ground with Intelligent Agents

� 3. Complex Adaptive Systems: Energy, Information and Intelligence

� 4. Multiagent Coordination under Uncertainty

� 5. Open Government Knowledge: AI Opportunities and Challenges

� 6. Question Generation

� 7. Robot-Human Teamwork in Dynamic Adverse Environment

Are you attending the AI Funding Seminar on Thursday, November 3? � Yes � No

Registration Fee(Students must send legible proof of full-time student status.)

� Member: $ 340.00 � Nonmember: $ 510.00 � Student Member $ 145.00 � Nonmember student: $ 235.00

AAAI Platinum RegistrationIncludes a one-, three-, or five-year new or renewal membership in AAAI. (Students must send legible proof of full-time student status.)

� Regular Member: $ 475.00 � Student Member (1-year): $ 210.00

� Regular Member (3-year) $ 745.00 � Regular Member (5-year): $ 1015.00

TOTAL FEE (Please enter correct amount.) $_________________________

Method of Payment All e-mail and fax registrations must be accompanied by credit card information. Checks (drawn on a US bank) should be made payable to AAAI. Prepayment is required. No purchase orders will be accepted. (Please circle one)

AMERICAN EXPRESS MASTERCARD VISA CHECK

Credit card number___________________________________Verification No.* ___________ Expiration _____________

Name (as it appears on card) _______________________________________ Signature_____________________________

Credit Card Billing Address _______________________________________ Business Name ________________________

Please mail your check to AAAI FSS-11 Symposium Series • 445 Burgess Drive • Menlo Park, CA 94025 or fax with credit card information to 1-

650-321-4457. Please Note: Requests for refunds must be received in writing by October 21, 2011. No refunds will be granted after this

date. A $75.00 processing fee will be levied on all refunds granted.

*The card verification number on Visaand Mastercard is a 3-digit number print-ed on the back of your card. It appears af-ter and to the right of your card number.On American Express cards, the verifica-tion number is a 4-digit number printedon the front of your card. It appears afterand to the right of your card number.

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