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) …
Russell, Stuart (University of California, Berkeley) | Dietterich, Tom (Oregon State University) | Horvitz, Eric (Microsoft) | Selman, Bart (Cornell University) | Rossi, Francesca (University of Padova) | Hassabis, Demis (DeepMind) | Legg, Shane (DeepMind) | Suleyman, Mustafa (DeepMind) | George, Dileep (Vicarious) | Phoenix, Scott (Vicarious)
The adoption of probabilistic and decision-theoretic representations and statistical learning methods has led to a large degree of integration and cross-fertilization among AI, machine learning, statistics, control theory, neuroscience, and other fields. The progress in AI research makes it timely to focus research not only on making AI more capable, but also on maximizing the societal benefit of AI. We recommend expanded research aimed at ensuring that increasingly capable AI systems are robust and beneficial: our AI systems must do what we want them to do. In summary, we believe that research on how to make AI systems robust and beneficial is both important and timely, and that there are concrete research directions that can be pursued today.
Bohus, Dan (Microsoft Research) | Horvitz, Eric (Microsoft Research) | Kanda, Takayuki (ATR Intelligent Robotics and Communication Laboratories) | Mutlu, Bilge (University of Wisconsin - Madison) | Raux, Antoine (Honda Research Institute USA)
This special issue of AI Magazine on dialog with robots brings together a collection of articles on situated dialog. The contributing authors have been working in interrelated fields of human-robot interaction, dialog systems, virtual agents, and other related areas and address core concepts in spoken dialog with embodied robots or agents. Several of the contributors participated in the AAAI Fall Symposium on Dialog with Robots, held in November 2010, and several articles in this issue are extensions of work presented there. The articles in this collection address diverse aspects of dialog with robots, but are unified in addressing opportunities with spoken language interaction, physical embodiment, and enriched representations of context.
Azevedo, Roger (McGill University) | Biswas, Gautam (Vanderbilt University) | Bohus, Dan (Microsoft Research) | Carmichael, Ted (University of North Carolina at Charlotte) | Finlayson, Mark (Massachusetts Institute of Technology) | Hadzikadic, Mirsad (University of North Carolina at Charlotte) | Havasi, Catherine (Massachusetts Institute of Technology) | Horvitz, Eric (Microsoft Research) | Kanda, Takayuki (ATR Intelligent Robotics and Communications Laboratories) | Koyejo, Oluwasanmi (University of Texas at Austin) | Lawless, William (Paine College) | Lenat, Doug (Cycorp) | Meneguzzi, Felipe (Carnegie Mellon University) | Mutlu, Bilge (University of Wisconsin, Madison) | Oh, Jean (Carnegie Mellon University) | Pirrone, Roberto (University of Palermo) | Raux, Antoine (Honda Research Institute USA) | Sofge, Donald (Naval Research Laboratory) | Sukthankar, Gita (University of Central Florida) | Durme, Benjamin Van (Johns Hopkins University)
The Association for the Advancement of Artificial Intelligence was pleased to present the 2010 Fall Symposium Series, held Thursday through Saturday, November 11-13, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia are as follows: (1) Cognitive and Metacognitive Educational Systems; (2) Commonsense Knowledge; (3) Complex Adaptive Systems: Resilience, Robustness, and Evolvability; (4) Computational Models of Narrative; (5) Dialog with Robots; (6) Manifold Learning and Its Applications; (7) Proactive Assistant Agents; and (8) Quantum Informatics for Cognitive, Social, and Semantic Processes. The highlights of each symposium are presented in this report.
Barkowsky, Thomas (University of Bremen) | Bertel, Sven (University of Illinois at Urbana-Champaign) | Broz, Frank (University of Hertfordshire) | Chaudhri, Vinay K. (SRI International) | Eagle, Nathan (txteagle, Inc.) | Genesereth, Michael (Stanford University) | Halpin, Harry (University of Edinburgh) | Hamner, Emily (Carnegie Mellon University) | Hoffmann, Gabe (Palo Alto Research Center) | Hölscher, Christoph (University of Freiburg) | Horvitz, Eric (Microsoft Research) | Lauwers, Tom (Carnegie Mellon University) | McGuinness, Deborah L. (Rensselaer Polytechnic Institute) | Michalowski, Marek (BeatBots LLC) | Mower, Emily (University of Southern California) | Shipley, Thomas F. (Temple University) | Stubbs, Kristen (iRobot) | Vogl, Roland (Stanford University) | Williams, Mary-Anne (University of Technology)
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, is pleased to present the 2010 Spring Symposium Series, to be held Monday through Wednesday, March 22–24, 2010 at Stanford University. The titles of the seven symposia are Artificial Intelligence for Development; Cognitive Shape Processing; Educational Robotics and Beyond: Design and Evaluation; Embedded Reasoning: Intelligence in Embedded Systems Intelligent Information Privacy Management; It's All in the Timing: Representing and Reasoning about Time in Interactive Behavior; and Linked Data Meets Artificial Intelligence.
The Association for the Advancement of Artificial Intelligence (AAAI) held its 1996 Fall Symposia Series on 9 to 11 November in Cambridge, Massachusetts. This article contains summaries of the seven symposia that were conducted: (1) Configuration; (2) Developing Assistive Technology for People with Disabilities; (3) Embodied Cognition and Action; (4) Flexible Computation: Results, Issues, and Opportunities; (5) Knowledge Representation Systems Based on Natural Language; (6) Learning Complex Behaviors in Adaptive Intelligent Systems; and (7) Plan Execution: Problems and Issues.