DOCSLIB.ORG

Conference Organizers and Program Committee

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Conference Organizers and Program Committee AAAI & IAAI Conference Program Committees Conference Chairs AAAI-2000 Senior Program Committee Jamie Callan, Carnegie Mellon University AAAI-2000 Program Cochairs Rina Dechter, University of California, Irvine Henry A. Kautz, AT&T Labs-Research Kenneth Forbus, Xerox PARC Bruce Porter, University of Texas at Austin Robert Holte, University of Ottawa AAAI-2000 Associate Program Cochairs Leslie Kaelbling, Massachusetts Institute of Technology Rina Dechter, University of California, Irvine Michael Kearns, AT&T Labs Richard Sutton, AT&T Labs-Research Craig Knoblock, University of Southern California Daphne Koller, Stanford University AAAI-2000 Assistant Program Chair James Lester, North Carolina State University Vibhu Mittal, Just Research & Carnegie Mellon University Alon Levy, University of Washington Vladimir Lifschitz, University of Texas at Austin IAAI-2000 Chair Kathleen McKeown, Columbia University Robert S. Engelmore, Stanford University Raymond Mooney, University of Texas at Austin Pandurang Nayak, PurpleYogi.com IAAI-2000 Cochair Peter Patel-Schneider, Bell Labs Research Haym Hirsh, Rutgers University Judea Pearl, University of California, Los Angeles Gregory Piatetsky-Shapiro, Xchange Intelligent Systems Demonstrations Chair Bart Selman, Cornell University George Ferguson, University of Rochester Lynn Andrea Stein, Massachusetts Institute of Technology Richard Sutton, AT&T Labs-Research Mobile Robot Competition Chair Sebastian Thrun, Carnegie Mellon University Alan C. Schultz, Naval Research Laboratory Peter van Beek, University of Alberta Robot Contest Subchair Manuela Veloso, Massachusetts Institute of Technology Lisa Meeden, Swarthmore College Marilyn Walker, AT&T Labs-Research Daniel Weld, University of Washington Robot Exhibit Subchair Marc Böhlen, Carnegie Mellon University Robot Challenge Subchair AAAI-2000 Program Committee Tucker Balch, Carnegie Mellon University Steve Abney, AT&T Labs-Research David Aha, Naval Research Laboratory Robot Building Laboratory and National Botball Tour- James Allan, University of Massachusetts nament Chair David Andre, University of California, Berkeley David Miller, KISS Institute for Practical Robotics Elisabeth Andre, DFKI GmbH Tucker Balch, Carnegie Mellon University SIGART/AAAI-2000 Doctoral Consortium Chair Chitta Baral, Arizona State University Marie A. Bienkowski, SRI International Jonathan Baxter, Australian National University Student Abstract and Poster Chair Roberto Bayardo, IBM Almaden Research Center Sven Koenig, Georgia Institute of Technology Gautam Biswas, Vanderbilt University Jim Blythe, USC/Information Sciences Institute Tutorial Chair Justin Boyan, NASA Ames Research Center / MIT AI Lab Michael L. Littman, Duke University Carla Brodley, Purdue University Rodney Brooks, Massachusetts Institute of Technology Workshop Chair and Cochair Wolfram Burgard, Universitaet Freiburg Marie desJardins, SRI International Mary Elaine Califf, Illinois State University Berthe Y. Choueiry, University of Nebraska-Lincoln Vinay Chaudhri, SRI International Berthe Choueiry, University of Nebraska-Lincoln xxi Daniel Clancy, NASA Ames Research Center Joel Martin, National Research Council David Cohn: Just Research / Carnegie Mellon University Andrew McCallum, WhizBang Laboratories–Research Michael Collins, AT&T Labs-Research Kathleen McCoy, University of Delaware Corinna Cortes, AT&T Labs-Research Sheila McIlraith, Stanford University Mark Craven, University of Wisconsin Marina Meila, Carnegie Mellon University Adnan Darwiche, University of California, Los Angeles Nicolas Meuleau, Massachusetts Institute of Technology Piew Datta, GTE Laboratories Andrew Moore, Carnegie Mellon University Ernest Davis, New York University Leora Morgenstern, IBM T.J. Watson Research Center Giuseppe De Giacomo, Università di Roma “La Sapienza” Martha Palmer, University of Pennsylvania Frank Dellaert, Carnegie Mellon University Ronald Parr, Stanford University Pedro Domingos, University of Washington Avi Pfeffer, Harvard University Susan Dumais, Microsoft Research Yusuf Pisan, Macquarie University John Everett, Xerox PARC Martha Pollack, University of Pittsburgh Boi Faltings, Swiss Federal Institute of Technology (EPFL) David Poole, University of British Columbia Tom Fawcett, Hewlett-Packard Laboratories Dragomir Radev, University of Michigan Ronen Feldman, Bar-Ilan University Jeff Rickel, University of Southern California Ronald Ferguson, Northwestern University Ellen Riloff, University of Utah Eugene Fink, University of South Florida Irina Rish, IBM T.J. Watson Research Center Gary Flake, NEC Research Institute Dana Ron, Tel Aviv University Dieter Fox, Carnegie Mellon University Dan Roth, University of Illinois, Urbana-Champaign Jim French, University of Virginia Marie-Christine Rousset, University of Paris-Sud Eugene Freuder, University of New Hampshire Tuomas Sandholm, Washington University Marc Friedman, Viathan Corporation Stefan Schaal, University of Southern California Nir Friedman, Hebrew University Jonathan Schaeffer, University of Alberta Michael Gelfond, Texas Tech University Thomas Schiex, INRA Zoubin Ghahramani, University College London James Schmolze, Tufts University Matthew L. Ginsberg, University of Oregon Dale Schuurmans, University of Waterloo Enrico Giunchiglia, Università di Genova Murray Shanahan, Imperial College Bob Givan, Purdue University Jude Shavlik, University of Wisconsin Keith Golden, NASA Ames Research Center John Shawe-Taylor, Royal Holloway, University of London Nancy Green, University of North Carolina Greensboro Wei-Min Shen, University of Southern California / ISI Benjamin Grosof, IBM T.J. Watson Research Center Reid Simmons, Carnegie Mellon University Milos Hauskrecht, Brown University Yoram Singer, The Hebrew University Ian Horrocks, University of Manchester Robert St. Amant, North Carolina State University Adele Howe, Colorado State University Peter Stone, AT&T Labs-Research Manfred Huber, University of Texas at Arlington Peter Struss, Technical University of Munich Tommi Jaakkola, Massachusetts Institute of Technology Gaurav Sukhatme, University of Southern California Peter Jeavons, Oxford University Csaba Szepesvari, Mindmaker Ltd. David Jensen, University of Massachusetts Prasad Tadepalli, Oregon State University Hermann Kaindl, Siemens Austria Hannu TT Toivonen, Nokia Research Center Subbarao Kambhampati, Arizona State University Hudson Turner, University of Minnesota at Duluth Kevin Knight, University of Southern California Lyle Ungar, University of Pennsylvania Jana Koehler, Schindler Lifts Ltd Pascal Van Hentenryck, Brown University Richard Korf, University of California, Los Angeles Ellen Voorhees, NIST David Kortenkamp, Metrica/TRACLabs Mark Wallace, Imperial College Manolis Koubarakis, Technical University of Crete Toby Walsh, The University of York Benjamin Kuipers, University of Texas at Austin Janyce Wiebe, New Mexico State University Nicholas Kushmerick, University College Dublin Brian Williams, Massachusetts Institute of Technology Javier Larrosa, Universitat Politecnica de Catalunya Ronald Yager, Iona College Lillian Lee, Cornell University Qiang Yang, Microsoft Research China Neal Lesh, MERL Michael Young, North Carolina State University Fangzhen Lin, Hong Kong Univ..of Science and Technology Michael Wellman, University of Michigan Diane Litman, AT&T Labs-Research Weixiong Zhang, University of Southern California Michael Littman, AT&T Labs-Research Feng Zhao, Xerox PARC Robert MacGregor, Pacific Software Solutions Sridhar Mahadevan, Michigan State University Inderjeet Mani, The MITRE Corporation Chris Manning, Stanford University xxii 2000 Auxiliary Reviewers IAAI-2000 Program Committee Eyal Amir Bruce Buchanan, University of Pittsburgh Alessandro Artale Steve Chien, Jet Propulsion Laboratory Maren Bennewitz Usama Fayyad, Microsoft Research Darse Billings Neil Jacobstein, Teknowledge Corporation Yngvi Bjornsson Philip Klahr, TriVida Corporation Diego Calvanese Alain Rappaport, Carnegie Mellon University Amedeo Cesta Charles Rosenberg, Carnegie Mellon University Evgeny Dantsin Ted Senator, NASD Regulation, Inc. Oskar Dressler Howard Shrobe, Massachusetts Institute of Technology Jenny Dy Reid Smith, Schlumberger Limited Peggy S. Eaton Shirley Tessler, Aldo Ventures, Inc. Alan Fern Ramasamy Uthurusamy, General Motors Corporation Maria Fox Marilyn Walker, AT&T Labs-Research Enrico Franconi Carole Goble Dirk Haehnel Ullrich Hustadt Terran Lane Victor Lavrenko Anton Leuski Sean MacArthur R. Manmatha Fabio Massacci David McAllester Karen Myers Daniele Nardi Joelle Pineau Stergios Roumeliotis Nicholas Roy Jack van Ryswyck Mark Stickel Tim Stough Russell Swan Armando Tacchella Sergio Tessaris Richard Vaughan Richard J. Wallace David Wilkins xxiii.
Load more

Recommended publications
  • Algorithms for Reasoning with Probabilistic Graphical Models INTRODUCTORY
    Rina Dechter & Alexander Ihler University of California, Irvine Algorithms for Reasoning with Probabilistic Graphical Models INTRODUCTORY Summary The course will cover the primary exact and approximate algorithms for reasoning with probabilistic graphical models (e.g., Bayesian and Markov networks, influence diagrams, and Markov decision processes). We will present inference-based, message passing schemes (e.g., variable elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each algorithm class possesses distinct characteristics and in particular has different time vs. space behavior. We will emphasize the dependence of the methods on graph parameters such as the treewidth, cycle- cutset, and (pseudo-tree) height. We will start from exact algorithms and move to approximate schemes that are anytime, including weighted mini-bucket schemes with cost-shifting and MCMC sampling. Syllabus Class 1: Introduction and Inference schemes • Basic Graphical models – Queries – Examples/applications/tasks – Algorithms overview • Inference algorithms, exact – Bucket elimination – Jointree clustering – Elimination orders • Decomposition Bounds – Dual Decomposition, GDD – MBE/WMBE – Belief Propagation Class 2: Search Schemes • AND/OR search spaces, pseudo-trees – AND/OR search trees – AND/OR search graphs – Generating good pseudo-trees • Heuristic search for AND/OR spaces – Brute-force traversal – Depth-first AND/OR branch and bound – Best-first AND/OR search – The Guiding MBE heuristic – Marginal Map (max-sum-product) • Hybrids of search and Inference Class 3: • Variational methods – Convexity & decomposition bounds – Variational forms & the marginal polytope – Message passing algorithms – Convex duality relationships • Monte Carlo sampling – Basics – Importance sampling – Markov chain Monte Carlo – Integrating inference and sampling References Rina Dechter: Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms.
    [Show full text]
  • Felix Elwert
    July 2021 FELIX ELWERT University of Wisconsin–Madison Department of Sociology and Center for Demography and Ecology 4426 Sewell Social Sciences Building 1180 Observatory Drive Madison, WI 53706 [email protected] ACADEMIC POSITIONS University of Wisconsin–Madison 2017- Professor, Department of Sociology Department of Biostatistics and Medical Informatics (affiliated) Department of Population Health Sciences (affiliated) 2013–2017 Associate Professor (Affiliated), Department of Population Health Sciences 2012–2017 Associate Professor, Department of Sociology 2007–2012 Assistant Professor, Department of Sociology WZB Berlin Social Science Center, Germany 2015–2016 Acting Director, Research Unit Social Inequality and Social Policy 2014–2015 Karl W. Deutsch Visiting Professor Harvard Medical School 2006–2007 Postdoctoral Fellow, Department of Health Care Policy EDUCATION 2007 Ph.D., Sociology, Harvard University 2006 A.M., Statistics, Harvard University 1999 M.A., Sociology, New School for Social Research 1997 Vordiplom, Sociology, Free University of Berlin Felix Elwert / May 2020 AWARDS AND FELLOWSHIPS 2018 Leo Goodman Award, Methodology Section, American Sociological Association 2018 Elected member, Sociological Research Association 2018 Vilas Midcareer Faculty Award, University of Wisconsin-Madison 2017- H. I. Romnes Faculty Fellowship, University of Wisconsin-Madison 2016-2018 Fellow, WZB Berlin Social Science Center, Berlin, Germany 2013 Causality in Statistics Education Award, American Statistical Association 2013 Vilas Associate Award, University of Wisconsin–Madison 2012 Jane Addams Award (Best Paper), Community and Urban Sociology Section, American Sociological Association 2010 Gunther Beyer Award (Best Paper by a Young Scholar), European Association for Population Studies 2009, 2010, 2017 University Housing Honored Instructor Award, University of Wisconsin- Madison 2009 & 2010 Best Poster Awards, Annual Meeting of the Population Association of America 2005–2006 Eliot Fellowship, Harvard University 2004 Aage B.
    [Show full text]
  • Ucla Computer Science Depart "Tment
    THE UCLA COMPUTER SCIENCE DEPART"TMENT QUARTERLY THE DEPARTMENT AND ITS PEOPLE FALL 1987/WINTER 1988 VOL. 16 NO. 1 SCHOOL OF ENGINEERING AND APPLIED SCIENCE COMPUTER SCIENCE DEPARTMENT OFFICERS Dr. Gerald Estrin, Chair Dr. Jack W. Carlyle, Vice Chair, Planning & Resources Dr. Sheila Greibach, Vice Chair, Graduate Affairs Dr. Lawrence McNamee, Vice Chair, Undergraduate Affairs Mrs. Arlene C. Weber, Management Services Officer Room 3713 Boelter Hall QUARTERLY STAFF Dr. Sheila Greibach, Editor Ms. Marta Cervantes, Coordinator Material in this publication may not be reproduced without written permission of the Computer Science Department. Subscriptions to this publication are available at $20.00/year (three issues) by contacting Ms. Brenda Ramsey, UCLA Computer Science Department, 3713 Boelter Hall, Los Angeles, CA 90024-1596. THE UCLA COMPUTER SCIENCE DEPARTMENT QUARTERLY The Computer Science Department And Its People Fall Quarter 1987/Winter Quarter 1988 Vol. 16, No. 1 SCHOOL OF ENGINEERING AND APPLIED SCIENCE UNIVERSITY OF CALIFORNIA, LOS ANGELES Fall-Winfer CSD Quarterly CONTENTS COMPUTER SCIENCE AT UCLA AND COMPUTER SCIENCE IN THE UNITED STATES GeraldEstrin, Chair...................................................................................................... I THE UNIVERSITY CONTEXT .............................................................................................. 13 THE UCLA COMPUTER SCIENCE DEPARTMENT The Faculty A rane nf;ntraract Biographies .............................................................................................................................
    [Show full text]
  • Rina Dechter
    Rina Dechter Information and Computer Science Irvine, CA 92717 email: [email protected] www.ics.uci.edu/~ dechter 949-824-6556 Education • University of California, Los Angeles Computer Science, Major Field: Artificial Intelligence Ph.D. 1985 • Weizman Institute of Science, Rehovot, Israel Applied Mathematics M.S. 1976 • The Hebrew University of Jerusalem, Israel Mathematics and Statistics B.S. 1973 Work Experience • University of California, Irvine Information and Computer Science July 1996{present: Full Professor July 1992{1996: Associate Professor Oct 1990{1992: Assistant Professor • Technion, Israel Computer Science Department Oct 1988 - Sept 1990: Senior Lecturer, (equivalent to Assistant Profes- sor) 1 • Hughes Aircraft, Calabasas July 85 - Mar 88: Staff member, AI Center • University of California, Los Angeles Computer Science Department Oct 87 - Sept 88: Research Associate • University of California, Los Angeles Computer Science Department July 85 - Sept 87: Presidential Postdoctoral Scholar • IBM Scientific Center, Los Angeles, CA Sept 82 - Dec 84: Student member of Technical Staff, Robotic Project • University of California, Los Angeles Computer Science Department July 81 - Sept 85: Research Assistant Research in the areas of Communication Networks (1981-1982), and Artificial Intelligence (1982-85) • Perceptronics Inc. Woodland Hills, California Oct 78 - Mar 80: Research Mathematician Responsible for modeling, experimental design and computer simula- tions for Human-Resource Test and Evaluation for advanced weapon systems • Everyman's University, Tel-Aviv, Israel Apr 76 - Aug 78: Staff member Developed self-study programs for teaching college mathematics. Awards and Honors • 1986-87: UC Presidential Postdoctoral Fellowship. • 1990: Best Paper, Canadian AI Conference (CSCSI-90) for [C15,J10] • 1991: NSF Presidential Young Investigator.
    [Show full text]
  • Department of Computer Science
    University of California, Irvine 2016-2017 1 Department of Computer Science Alexandru Nicolau, Department Chair Rina Dechter, Department Vice Chair 3019 Donald Bren Hall 949-824-1546 http://www.cs.uci.edu/ Overview With 40 full-time faculty members, 300+ graduate students, and more than 2,000 undergraduates, we provide a world-class research environment spanning not only the core areas of computer science — including computer architecture, system software, networking and distributed computing, data and information systems, the theory of computation, artificial intelligence, and computer graphics — but also highly interdisciplinary programs, such as biomedical informatics, data mining, security and privacy, and ubiquitous computing. The diverse research interests of our faculty are reflected directly in our educational programs. Computer Science faculty teach most of the undergraduate and graduate courses for the degree programs in both Computer Science and Information & Computer Science. We jointly offer with our colleagues in The Henry Samueli School of Engineering an undergraduate degree in Computer Science and Engineering, as well as the graduate program in Networked Systems. We also have a major in Computer Game Science, jointly offered with the Department of Informatics. Our department collaborates with many other institutions in the United States and abroad, and its doors are always open to a multitude of visitors and collaborators from all corners of the globe. Undergraduate Major in Computer Science The Computer Science major emphasizes the principles of computing that underlie our modern world, and provides a strong foundational education to prepare students for the broad spectrum of careers in computing. This major can serve as preparation for either graduate study or a career in industry.
    [Show full text]
  • Donald Bren School of Information and Computer Sciences Donald Bren Hall Dedication
    Annual Report 2006-07 Donald Bren School of Information and Computer Sciences Donald Bren Hall Dedication. June 20, 2007. (L to R) Vice Chancellor Tom Mitchell, Brenda Drake, Chancellor Michael V. Drake, Donald Bren, and Dean Debra J. Richardson Dear Bren School Community, 2006-07 was an exciting academic year at UC Irvine’s Donald Bren School of Information and Computer Sciences. We had many successes and firsts as we moved into the new Donald Bren Hall and welcomed many new graduate and undergraduate students. Today, we are an academic community of more than 1,500 students, over 100 full-time faculty and staff, and approximately 7,000 alumni worldwide. In teaching and scholarship, we continue to be among the top in information and computer sciences. To add to our list of accolades, our Networked Systems program was just rated number one by Academic Analytics, in additino to being ranked third in Information Systems. 04 Bren School Faculty At the Bren School, we have a unique perspective on computing and 08 Department of Computer Science information technology, stimulating society daily. Our vibrant community, 10 Department of Informatics comprised of researchers and educators as well as industry-leading scholars, 12 Department of Statistics explores innovative topics ranging from building complete computer systems on 14 Center of Excellence chips smaller than a finger nail to developing user interface systems that allow 18 Student Affairs engineers on opposite sides of the world to collaborate effectively. 20 Business Office I invite you stay in touch with us throughout the year by subscribing to our RSS 21 Communications feed or visiting our Web site regularly (www.ics.uci.edu).
    [Show full text]
  • CV-Prof.-Rachel-Ben-Eliyahu-Zohary
    CURRICULUM VITAE Name: Ben Eliyahu- Zohary Rachel 1. Academic Education B.Sc. 1983, Mathematics and Computer Science, Hebrew University of Jerusalem, Jerusalem, Israel. Ph.D. 1993, Computer Science University of California, Los-Angeles, UCLA. Topic of Dissertation: Computational aspects of nonmonotonic Reasoning. Advisors: Professor Judea Pearl (UCLA) and Professor Rina Dechter (UCI). 2. Academic Employment 2006-present Associate Professor, Jerusalem College of Engineering, Jerusalem, Israel. 2003-present Head, Department of Software Engineering, Jerusalem College of Engineering, Jerusalem, Israel. (on sabbatical 2004-2005, 2012-2013) 2004-2005 Research and Teaching, Harvard Division of Engineering and Applied Sciences, Visiting Scholar. 2003-2006 Senior Lecturer, Jerusalem College of Engineering, Jerusalem, Israel. 2000-2010 Senior Lecturer, Department of Communication Systems Engineering, Ben- Gurion University of the Negev, Beer-Sheva, Israel. (on maternity leave 2002, on leave 2003-2006) 2000-2003 Head of study Programs Committee, Ben-Gurion University of the Negev, Beer-Sheva, Israel. 1995-1998 Lecturer, Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel. 1995-1998 Head of study Programs Committee, Ben-Gurion University of the Negev, Beer-Sheva, Israel. 1993-1995 Post-doctoral researcher, Faculty of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel. 1990-1993 Research Assitant, Department of Computer Science - Cognitive Systems Laboratory, UCLA. 1988-1990 Teaching Assistant
    [Show full text]
  • Practical Tractability of CSPS by Higher Level Consistency and Tree Decomposition
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Computer Science and Engineering: Theses, Computer Science and Engineering, Department Dissertations, and Student Research of Spring 5-3-2013 Practical Tractability of CSPS by Higher Level Consistency and Tree Decomposition Shant Karakashian University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/computerscidiss Part of the Artificial Intelligence and Robotics Commons Karakashian, Shant, "Practical Tractability of CSPS by Higher Level Consistency and Tree Decomposition" (2013). Computer Science and Engineering: Theses, Dissertations, and Student Research. 58. https://digitalcommons.unl.edu/computerscidiss/58 This Article is brought to you for free and open access by the Computer Science and Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Computer Science and Engineering: Theses, Dissertations, and Student Research by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. PRACTICAL TRACTABILITY OF CSPS BY HIGHER LEVEL CONSISTENCY AND TREE DECOMPOSITION by Shant Karakashian A DISSERTATION Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfilment of Requirements For the Degree of Doctor of Philosophy Major: Computer Science Under the Supervision of Professor Berthe Y. Choueiry Lincoln, Nebraska May, 2013 PRACTICAL TRACTABILITY OF CSPS BY HIGHER LEVEL CONSISTENCY AND TREE DECOMPOSITION Shant Karakashian, Ph. D. University of Nebraska, 2013 Adviser: Berthe Y. Choueiry Constraint Satisfaction is a flexible paradigm for modeling many decision problems in Engineering, Computer Science, and Management. Constraint Satisfaction Problems (CSPs) are in general N P -complete and are usually solved with search.
    [Show full text]
  • UC Irvine ICS Technical Reports
    UC Irvine ICS Technical Reports Title Working notes of the 1991 spring symposium on constraint-based reasoning Permalink https://escholarship.org/uc/item/5311p0gf Author Dechter, Rina Publication Date 1991-09-16 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Z 63 HoI t, Working Notes of the 1991 Spring Symposium on Constraint-Based Reasoning^ Rina Dechter September 16, 1991 Technical Report 91-65 1991 Spring Symposium Series Constraint-Based Reasoning Working Notes (Distribution limited to symposium attendees) March 26 - 28, 1991 Stanford University Sponsored by the American Association for Artificial Intelligence I WORKING NOTES AAAI SPRING SYMPOSIUM SERIES Symposium; Constraint-Based Reasoning Program Committee: Rina Dechter, UC Irvine, Cochair Sanjay Mittal, Metaphor Computer Systems, Cochair Alan Borning, University of Washington Mark Fox, Carnegie Mellon University Eugene Freuder, University of New Hampshire Joxan Jaffar, IBM T.J. Watson Research Center Alan Mackworth, University of British Columbia Judea Pearl, UC Los Angeles MARCH 26, 27, 28, 1991 STANFORD UNIVERSITY Table of Contents FOREWORJD i Theoretical Issues in Constraint Satisfaction The Logic of Constraint Satisfaction 1 Alan Mackworthj Department of Computer Science, University of British Columbia Constraint-Based Knowledge Acquisition 30 Eugene C. Freuder, Computer Science Department, University of New Hampshire Default Logic, Propositional Logic and Constraints 33 Rachel Ben-Eliyahu, Computer Science Department, University of California, Los Angeles, and Rina Dechter, Department of Information and Computer Science, University of California, Irvine Satisfiability and Reasoning with Inconsistent Beliefs Using Energy Minimization 47 Gadi Pinkas, Computer Science Department, Washington University Reasoning About Disjunctive Constraints 57 Can A. Baykan and Mark S.
    [Show full text]
  • Program & Exhibit Guide
    Program & Exhibit Guide EIGHTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-02) FOURTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (IAAI-02) July 28-August 1, 2002 Shaw Conference Centre and Westin Edmonton Hotel Edmonton, Alberta, Canada SPONSORED BY THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE Cosponsored by ACM/SIGART, Alberta Informatics Circle of Research Excellence (iCORE), Defense Advanced Research Projects Agency (DARPA), NASA Ames Research Center, NSF's Directorate for Computer and Information Science and Engineering (CISE), Naval Research Laboratory In cooperation with The University of Alberta Contents Robot Challenge Cochairs Ben Kuipers, University of Texas at Austin and Acknowledgments / 2 Ashley Stroupe, Carnegie Mellon University Awards / 3 Conference at a Glance / 5 Robot Rescue Competition Cochairs DC-02 / 4 Jenn Casper, Mark Micire, and Robin Murphy, Exhibition / 18 University of South Florida General Information / 33 IAAI-02 Program / 13–15 Robot Host Competition Cochairs Intelligent Systems Demonstrations / 21 David Gustafson, Kansas State University and Invited Talks / 10 Francois Michaud, Universite de Sherbrooke Maps / 37–39 Robot Exhibition Cochairs National Botball Exhibition / 31 Ian Horswill and Christopher Dac Le, Poster Sessions / 3 Northwestern University Registration / 32 Robot Building Laboratory / 7 Mobile Robot Workshop Chair Robot Competition and Exhibition / 24 Bill Smart, Washington University St. Louis Special Events and Programs / 3–4 Special Meetings
    [Show full text]
  • S. Sloman-VITA
    S. Sloman-VITA June, 2021 CURRICULUM VITAE 1. Steven Sloman, Professor, Department of Cognitive, Linguistic, & Psychological Sciences, Brown University. 2. Home address: Providence, Rhode Island 02906 3. Education: B.Sc., University of Toronto, 1986, Psychology Ph.D., Stanford University, 1990, Psychology Dissertation topic: Memory and judgment processes 4. Professional Appointments: 1990-1992 Post-doctoral fellow, University of Michigan 1992-1998 Assistant Professor, Brown University 1998-2005 Associate Professor, Brown University 2005- Professor, Brown University 5. Completed Research a. Books and Special Issues J. Park, M. Lee, H. Choi, Y. Kwon, S. Sloman, & E. Halperin (Eds.). 2019 Annual Reports of Attitude of Koreans toward Peace and Reconciliation. Seoul: Korea Institute for National Unification. Sloman, S. A. & Weber, E. (Eds.) (2019). The Cognitive Science of Political Thought. Cognition, 188, 1-140. Sloman, S. A. & Fernbach, P. (2017). The Knowledge Illusion: Why We Never Think Alone. NY: Riverhead Press. (see https://sites.google.com/site/slomanlab/the-knowledge-illusion-in-the- news) Sloman, S. A. (Ed.) (2015). The Changing Face of Cognition. Cognition, 135. Sloman, S. A. & Pearl, J. (Eds.) (2013). Special issue of Cognitive Science on Counterfactuals. Cognitive Science, 37 (6). Sloman, S. A. (2005). Causal models: How we think about the world and its alternatives. New York: Oxford University Press. Sloman, S. A. & Rips, L. J. (Eds.) (1998) Rules versus similarity in human thinking. Special issue of Cognition, 65, 87-302. Also appears as Similarity and symbols in human thinking, Cambridge: MIT Press book. c. Refereed Journal Articles Fullerton, M., Rabb, N., Mamidipaka, S., Ungar, Lyle, & Sloman, S. (in press). Evidence against risk as a motivating driver of COVID-19 preventive behaviors in the U.S.
    [Show full text]
  • Identifying Independencies in Causal Graphs with Feedback P Aj
    420 Pearl and Dechter Identifying Independencies In Causal Graphs with Feedback Judea Pearl Rina Dechter Cognitive Systems Laboratory Information & Computer Science Computer Science Department University of California, Irvine University of California, Los Angeles, CA 90024 Irvine, CA 92717 [email protected]. edu rdechter@ics. uci. edu Abstract then we contrast these notions with those associated with recursive and nonrecursive causal models. The We show that the d-separation criterion con­ reader is encouraged to consult the example in section stitutes a valid test for conditional indepen­ 3.1, where these notions are given graphical represen­ dence relationships that are induced by feed­ tations. back systems involving discrete variables. 2.1 BAYESIAN NETWORKS INTRODUCTION 1 Definition 1 Let V :::::: {X 1, . .., Xn} be an ordered set of variables, and let P( v) be the joint probability dis­ It is well known that the d-separation test is sound tribution on these variables. A set of variables P Aj is and complete relative to the independencies as­ said to be Markovian parents of Xj if PAj is a minimal sumed in the construction of Bayesian networks set of predecessors of Xi that renders Xi independent [Verma and Pearl, 1988, Geiger et al., 1990]. In other of all its other predecessors. In other words, PAj is words, any d-separation condition in the network cor­ any subset of {X,, ... , Xj -d satisfying responds to a genuine independence condition in the P(xJIPai):::::: P(xilx,, . ,X -t) (1) underlying probability distribution and, conversely, j such that no proper subset of PAj satisfies Eq. (1).
    [Show full text]