Dogan, Rezarta Islamaj (National Library of Medicine) | Gil, Yolanda (University of Southern California) | Hirsh, Haym (Rutgers University) | Krishnan, Narayanan C. (Washington State University) | Lewis, Michael (University of Pittsburgh) | Mericli, Cetin (Carnegie Mellon University) | Rashidi, Parisa (Northwestern University) | Raskin, Victor (Purdue University) | Swarup, Samarth (Virginia Institute of Technology) | Sun, Wei (George Mason University) | Taylor, Julia M. (National Library of Medicine) | Yeganova, Lana
The Association for the Advancement of Artificial Intelligence was pleased to present the 2012 Fall Symposium Series, held Friday through Sunday, November 2–4, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia were as follows: AI for Gerontechnology (FS-12-01), Artificial Intelligence of Humor (FS-12-02), Discovery Informatics: The Role of AI Research in Innovating Scientific Processes (FS-12-03), Human Control of Bio-Inspired Swarms (FS-12-04), Information Retrieval and Knowledge Discovery in Biomedical Text (FS-12-05), Machine Aggregation of Human Judgment (FS-12-06), Robots Learning Interactively from Human Teachers (FS-12-07), and Social Networks and Social Contagion (FS-12-08). The highlights of each symposium are presented in this report.
Bunescu, Razvan C (Ohio University) | Carvalho, Vitor R. (Microsoft Live Labs) | Chomicki, Jan (University of Buffalo) | Conitzer, Vincent (Duke University) | Cox, Michael T. (BBN Technologies) | Dignum, Virginia (Utrecht University) | Dodds, Zachary (Harvey Mudd College) | Dredze, Mark (University of Pennsylvania) | Furcy, David (University of Wisconsin Oshkosh) | Gabrilovich, Evgeniy (Yahoo! Research) | Göker, Mehmet H. (PricewaterhouseCoopers) | Guesgen, Hans Werner (Massey University) | Hirsh, Haym (Rutgers University) | Jannach, Dietmar (Dortmund University of Technology) | Junker, Ulrich (ILOG) | Ketter, Wolfgang (Erasmus University) | Kobsa, Alfred (University of California, Irvine) | Koenig, Sven (University of Southern California) | Lau, Tessa (IBM Almaden Research Center) | Lewis, Lundy (Southern New Hampshire University) | Matson, Eric (Purdue University) | Metzler, Ted (Oklahoma City University) | Mihalcea, Rada (University of North Texas) | Mobasher, Bamshad (DePaul University) | Pineau, Joelle (McGill University) | Poupart, Pascal (University of Waterloo) | Raja, Anita (University of North Carolina at Charlotte) | Ruml, Wheeler (University of New Hampshire) | Sadeh, Norman M. (Carnegie Mellon University) | Shani, Guy (Microsoft Research) | Shapiro, Daniel (Applied Reactivity, Inc.) | Singh, Sarabjot Anand (University of Warwick) | Taylor, Matthew E. (University of Southern California) | Wagstaff, Kiri (Jet Propulsion Laboratory) | Smith, Trey (Carnegie Mellon University West) | Walsh, William (CombineNet) | Zhou, Ron (Palo Alto Research Center)
The program included the following fifteen workshops: Advancements in POMDP Solvers, AI Education Workshop, Coordination, Organization, Institutions and Norms in Agent Systems, Enhanced Messaging, Human Implications of Human-Robot Interaction, Intelligent Techniques for Web Personalization and Recommender Systems, Metareasoning: Thinking about Thinking, Multidisciplinary Workshop on Advances in Preference Handling, Search in Artificial Intelligence and Robotics, Spatial and Temporal Reasoning, Trading Agent Design and Analysis, Transfer Learning for Complex Tasks, What Went Wrong and Why: Lessons from AI Research and Applications, and Wikipedia and Artificial Intelligence: An Evolving Synergy. The goal of the Coordination, Organizations, Institutions and Norms in Multiagent Systems workshop was to examine and define the current state of the art research in agent systems research related to coordination, organizations institutions and norming. The Intelligent Techniques for Web Personalization and Recommender Systems workshop was scheduled as a joint event, bringing together researchers and practitioners from the fields of web personalization and recommender systems. The Search in Artificial Intelligence and Robotics workshop brought together search researchers to share their ideas and disseminate their latest research results.
Stone, Matthew, Hirsh, Haym
Artificial Intelligence: The Next Twenty-Five Years Matthew Stone, Haym Hirsh Abstract Through this collection of programmatic statements from key figures in the field, we chart the progress of AI and survey current and future directions for AI research and the AI community. Through this collection of programmatic statements from key figures in the field, we chart the progress of AI and survey current and future directions for AI research and the AI community.
Stone, Matthew, Hirsh, Haym
Artificial Intelligence: The Next Twenty-Five Years Abstract Through this collection of programmatic statements from key figures in the field, we chart the progress of AI and survey current and future directions for AI research and the AI community. Through this collection of programmatic statements from key figures in the field, we chart the progress of AI and survey current and future directions for AI research and the AI community.
Chien, Steve, Hirsh, Haym
The Thirteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2001) was held on 7 to 9 August 2001 in Seattle, Washington, in conjunction with the Seventeenth International Joint Conference on Artificial Intelligence. As in past years, papers were solicited in two categories: (1) deployed applications and (2) emerging applications and technologies. Deployed applications are systems that have been in use for at least several months by individuals or organizations other than their developers, have measurable benefits, and incorporate AI technologies. Emerging applications are technologies and systems that are close to deployment and clearly show an innovative implementation of AI technologies.
Engelmore, Robert S., Hirsh, Haym
In this special issue, we selected six of the papers, including one of the invited talks, and asked the authors to expand their conference presentations to provide more explanatory material. We believe these articles are representative of the current state of the art in innovative applications of AI.