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) …
Morris, Robert (NASA) | Bonet, Blai (Universidad Simón Bolívar) | Cavazza, Marc (Teesside University) | desJardins, Marie (University of Maryland, Baltimore County) | Felner, Ariel (BenGurion University) | Hawes, Nick (University of Birmingham) | Knox, Brad (Massachusetts Institute of Technology) | Koenig, Sven (University of Southern California) | Konidaris, George (Massachusetts Institute of Technology,) | Lang, Jérôme ((Université ParisDauphine) | López, Carlos Linares (Universidad Carlos III de Madrid) | Magazzeni, Daniele (King's College London) | McGovern, Amy (University of Oklahoma) | Natarajan, Sriraam (Indiana University) | Sturtevant, Nathan R. (University of Denver,) | Thielscher, Michael (University New South Wales) | Yeoh, William (New Mexico State University) | Sardina, Sebastian (RMIT University) | Wagstaff, Kiri (Jet Propulsion Laboratory)
The Twenty-Ninth AAAI Conference on Artificial Intelligence, (AAAI-15) was held in January 2015 in Austin, Texas (USA) The conference program was cochaired by Sven Koenig and Blai Bonet. This report contains reflective summaries of the main conference, the robotics program, the AI and robotics workshop, the virtual agent exhibition, the what's hot track, the competition panel, the senior member track, student and outreach activities, the student abstract and poster program, the doctoral consortium, the women's mentoring event, and the demonstrations program.
Albrecht, Stefano V. (University of Edinburgh) | Barreto, André M. S. (Brazilian National Laboratory for Scientific Computing) | Braziunas, Darius (Kobo Inc.) | Buckeridge, David L. (McGill University) | Cuayáhuitl, Heriberto (Heriot-Watt University) | Dethlefs, Nina (Heriot-Watt University) | Endres, Markus (University of Augsburg) | Farahmand, Amir-massoud (Carnegie Mellon University) | Fox, Mark (University of Toronto) | Frommberger, Lutz (University of Bremen) | Ganzfried, Sam (Carnegie Mellon University) | Gil, Yolanda (University of Southern California) | Guillet, Sébastien (Université du Québec à Chicoutimi) | Hunter, Lawrence E. (University of Colorado School of Medicine) | Jhala, Arnav (University of California Santa Cruz) | Kersting, Kristian (Technical University of Dortmund) | Konidaris, George (Massachusetts Institute of Technology) | Lecue, Freddy (IBM Research) | McIlraith, Sheila (University of Toronto) | Natarajan, Sriraam (Indiana University) | Noorian, Zeinab (University of Saskatchewan) | Poole, David (University of British Columbia) | Ronfard, Rémi (University of Grenoble) | Saffiotti, Alessandro (Orebro University) | Shaban-Nejad, Arash (McGill University) | Srivastava, Biplav (IBM Research) | Tesauro, Gerald (IBM Research) | Uceda-Sosa, Rosario (IBM Research) | Broeck, Guy Van den (Katholieke Universiteit Leuven) | Otterlo, Martijn van (Radboud University Nijmegen) | Wallace, Byron C. (University of Texas) | Weng, Paul (Pierre and Marie Curie University) | Wiens, Jenna (University of Michigan) | Zhang, Jie (Nanyang Technological University)
The AAAI-14 Workshop program was held Sunday and Monday, July 27–28, 2012, at the Québec City Convention Centre in Québec, Canada. The AAAI-14 workshop program included fifteen workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were AI and Robotics; Artificial Intelligence Applied to Assistive Technologies and Smart Environments; Cognitive Computing for Augmented Human Intelligence; Computer Poker and Imperfect Information; Discovery Informatics; Incentives and Trust in Electronic Communities; Intelligent Cinematography and Editing; Machine Learning for Interactive Systems: Bridging the Gap between Perception, Action and Communication; Modern Artificial Intelligence for Health Analytics; Multiagent Interaction without Prior Coordination; Multidisciplinary Workshop on Advances in Preference Handling; Semantic Cities -- Beyond Open Data to Models, Standards and Reasoning; Sequential Decision Making with Big Data; Statistical Relational AI; and The World Wide Web and Public Health Intelligence. This article presents short summaries of those events.
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)
Weiss, Jeremy C. (University of Wisconsin-Madison) | Natarajan, Sriraam (Wake Forest University) | Peissig, Peggy L. (Marshfield Clinic Research Foundation) | McCarty, Catherine A. (Essentia Institute of Rural Health) | Page, David (University of Wisconsin-Madison)
Electronic health records (EHRs) are an emerging relational domain with large potential to improve clinical outcomes. We apply two statistical relational learning (SRL) algorithms to the task of predicting primary myocardial infarction. We show that one SRL algorithm, relational functional gradient boosting, outperforms propositional learners particularly in the medically-relevant high recall region. We observe that both SRL algorithms predict outcomes better than their propositional analogs and suggest how our methods can augment current epidemiological practices.
Aha, David W. (Naval Research Laboratory) | Boddy, Mark (Adventium Labs) | Bulitko, Vadim (University of Alberta) | Garcez, Artur S. d'Avila (City University London) | Doshi, Prashant (University of Georgia) | Edelkamp, Stefan (TZI, Bremen University) | Geib, Christopher (University of Edinburgh) | Gmytrasiewicz, Piotr (University of Illinois, Chicago) | Goldman, Robert P. (Smart Information Flow Technologies) | Hitzler, Pascal (Wright State University) | Isbell, Charles (Georgia Institute of Technology) | Josyula, Darsana (University of Maryland, College Park) | Kaelbling, Leslie Pack (Massachusetts Institute of Technology) | Kersting, Kristian (University of Bonn) | Kunda, Maithilee (Georgia Institute of Technology) | Lamb, Luis C. (Universidade Federal do Rio Grande do Sul (UFRGS)) | Marthi, Bhaskara (Willow Garage) | McGreggor, Keith (Georgia Institute of Technology) | Nastase, Vivi (EML Research gGmbH) | Provan, Gregory (University College Cork) | Raja, Anita (University of North Carolina, Charlotte) | Ram, Ashwin (Georgia Institute of Technology) | Riedl, Mark (Georgia Institute of Technology) | Russell, Stuart (University of California, Berkeley) | Sabharwal, Ashish (Cornell University) | Smaus, Jan-Georg (University of Freiburg) | Sukthankar, Gita (University of Central Florida) | Tuyls, Karl (Maastricht University) | Meyden, Ron van der (University of New South Wales) | Halevy, Alon (Google, Inc.) | Mihalkova, Lilyana (University of Maryland) | Natarajan, Sriraam (University of Wisconsin)
The AAAI-10 Workshop program was held Sunday and Monday, July 11–12, 2010 at the Westin Peachtree Plaza in Atlanta, Georgia. The AAAI-10 workshop program included 13 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were AI and Fun, Bridging the Gap between Task and Motion Planning, Collaboratively-Built Knowledge Sources and Artificial Intelligence, Goal-Directed Autonomy, Intelligent Security, Interactive Decision Theory and Game Theory, Metacognition for Robust Social Systems, Model Checking and Artificial Intelligence, Neural-Symbolic Learning and Reasoning, Plan, Activity, and Intent Recognition, Statistical Relational AI, Visual Representations and Reasoning, and Abstraction, Reformulation, and Approximation. This article presents short summaries of those events.