If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Anderson, Monica (University of Alabama) | Barták, Roman (Charles University) | Brownstein, John S. (Boston Children's Hospital, Harvard University) | Buckeridge, David L. (McGill University) | Eldardiry, Hoda (Palo Alto Research Center) | Geib, Christopher (Drexel University) | Gini, Maria (University of Minnesota) | Isaksen, Aaron (New York University) | Keren, Sarah (Technion University) | Laddaga, Robert (Vanderbilt University) | Lisy, Viliam (Czech Technical University) | Martin, Rodney (NASA Ames Research Center) | Martinez, David R. (MIT Lincoln Laboratory) | Michalowski, Martin (University of Ottawa) | Michael, Loizos (Open University of Cyprus) | Mirsky, Reuth (Ben-Gurion University) | Nguyen, Thanh (University of Michigan) | Paul, Michael J. (University of Colorado Boulder) | Pontelli, Enrico (New Mexico State University) | Sanner, Scott (University of Toronto) | Shaban-Nejad, Arash (University of Tennessee) | Sinha, Arunesh (University of Michigan) | Sohrabi, Shirin (IBM T. J. Watson Research Center) | Sricharan, Kumar (Palo Alto Research Center) | Srivastava, Biplav (IBM T. J. Watson Research Center) | Stefik, Mark (Palo Alto Research Center) | Streilein, William W. (MIT Lincoln Laboratory) | Sturtevant, Nathan (University of Denver) | Talamadupula, Kartik (IBM T. J. Watson Research Center) | Thielscher, Michael (University of New South Wales) | Togelius, Julian (New York University) | Tran, So Cao (New Mexico State University) | Tran-Thanh, Long (University of Southampton) | Wagner, Neal (MIT Lincoln Laboratory) | Wallace, Byron C. (Northeastern University) | Wilk, Szymon (Poznan University of Technology) | Zhu, Jichen (Drexel University)
Albrecht, Stefano (The University of Texas at Austin) | Bouchard, Bruno (Université du Québec à Chicoutimi) | Brownstein, John S. (Harvard University) | Buckeridge, David L. (McGill University) | Caragea, Cornelia (University of North Texas) | Carter, Kevin M. (MIT Lincoln Laboratory) | Darwiche, Adnan (University of California, Los Angeles) | Fortuna, Blaz (Bloomberg L.P. and Jozef Stefan Institute) | Francillette, Yannick (Université du Québec à Chicoutimi) | Gaboury, Sébastien (Université du Québec à Chicoutimi) | Giles, C. Lee (Pennsylvania State University) | Grobelnik, Marko (Jozef Stefan Institute) | Hruschka, Estevam R. (Federal University of São Carlos) | Kephart, Jeffrey O. (IBM Thomas J. Watson Research Center) | Kordjamshidi, Parisa (University of Illinois at Urbana-Champaign) | Lisy, Viliam (University of Alberta) | Magazzeni, Daniele (King's College London) | Marques-Silva, Joao (University of Lisbon) | Marquis, Pierre (Université d'Artois) | Martinez, David (MIT Lincoln Laboratory) | Michalowski, Martin (Adventium Labs) | Shaban-Nejad, Arash (University of California, Berkeley) | Noorian, Zeinab (Ryerson University) | Pontelli, Enrico (New Mexico State University) | Rogers, Alex (University of Oxford) | Rosenthal, Stephanie (Carnegie Mellon University) | Roth, Dan (University of Illinois at Urbana-Champaign) | Sinha, Arunesh (University of Southern California) | Streilein, William (MIT Lincoln Laboratory) | Thiebaux, Sylvie (The Australian National University) | Tran, Son Cao (New Mexico State University) | Wallace, Byron C. (University of Texas at Austin) | Walsh, Toby (University of New South Wales and Data61) | Witbrock, Michael (Lucid AI) | Zhang, Jie (Nanyang Technological University)
The Workshop Program of the Association for the Advancement of Artificial Intelligence's Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) was held at the beginning of the conference, February 12-13, 2016. Workshop participants met and discussed issues with a selected focus -- providing an informal setting for active exchange among researchers, developers and users on topics of current interest. To foster interaction and exchange of ideas, the workshops were kept small, with 25-65 participants. Attendance was sometimes limited to active participants only, but most workshops also allowed general registration by other interested individuals.
Cohen, Adam B. (Independent Consultant) | Chernova, Sonia (Worcester Polytechnic Institute) | Giordano, James (Georgetown University Medical Center) | Guerin, Frank (University of Aberdeen) | Hauser, Kris (Duke University) | Indurkhya, Bipin (AGH University of Science and Technology) | Leonetti, Matteo (University of Texas at Austin) | Medsker, Larry (Siena College) | Michalowski, Martin (Adventium Labs) | Sonntag, Daniel (German Research Center for Artificial Intelligence) | Stojanov, Georgi (American University of Paris) | Tecuci, Dan G. (IBM Watson, Austin) | Thomaz, Andrea (Georgia Institute of Technology) | Veale, Tony (University College Dublin) | Waltinger, Ulli (Siemens Corporate Technology)
The AAAI 2014 Fall Symposium Series was held Thursday through Saturday, November 13–15, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The titles of the seven symposia were Artificial Intelligence for Human-Robot Interaction, Energy Market Prediction, Expanding the Boundaries of Health Informatics Using AI, Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Modeling Changing Perspectives: Reconceptualizing Sensorimotor Experiences, Natural Language Access to Big Data, and The Nature of Humans and Machines: A Multidisciplinary Discourse. The highlights of each symposium are presented in this report.
Agrawal, Vikas (IBM Research-India) | Archibald, Christopher (Mississippi State University) | Bhatt, Mehul (University of Bremen) | Bui, Hung (Nuance) | Cook, Diane J. (Washington State University) | Cortés, Juan (University of Toulouse) | Geib, Christopher (Drexel University) | Gogate, Vibhav (University of Texas at Dallas) | Guesgen, Hans W. (Massey University) | Jannach, Dietmar (TU Dortmund) | Johanson, Michael (University of Alberta) | Kersting, Kristian (University of Bonn) | Konidaris, George (Massachusetts Institute of Technology) | Kotthoff, Lars (University College Cork) | Michalowski, Martin (Adventium Labs) | Natarajan, Sriraam (Indiana University) | O'Sullivan, Barry (University College Cork) | Pickett, Marc (Naval Research Laboratory) | Podobnik, Vedran (University of Zagreb) | Poole, David (University of British Columbia) | Shastri, Lokendra (GM Research, India) | Shehu, Amarda (George Mason University) | Sukthankar, Gita (University of Central Florida)
Computer Go presents a challenging problem for machine learning agents. With the number of possible board states estimated to be larger than the number of hydrogen atoms in the universe, learning effective policies or board evaluation functions is extremely difficult. In this paper we describe Cortigo, a system that efficiently and autonomously learns useful generalizations for large state-space classification problems such as Go. Cortigo uses a hierarchical generative model loosely related to the human visual cortex to recognize Go board positions well enough to suggest promising next moves. We begin by briefly describing and providing motivation for research in the computer Go domain. We describe Cortigo’s ability to learn predictive models based on large subsets of the Go board and demonstrate how using Cortigo’s learned models as additive knowledge in a state-of-the-art computer Go player (Fuego) significantly improves its playing strength.