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) …
Ball, Jerry (Air Force Research Laboratory) | Arney, Chris (Army Research Office) | Collins, Samuel G. (Towson University) | Marcus, Mitchell (University of Pennsylvania) | Nirenburg, Sergei (University of Maryland, Baltimore County) | Chella, Antonio (University of Palermo) | Goebel, Kai (NASA Ames Research Center) | Li, Jason H. (Intelligent Automation, Inc.) | Lyell, Margaret (Intelligent Automation, Inc.) | Magerko, Brian (Michigan State University) | Manzotti, Riccardo (IULM University) | Morrison, Clayton T. (University of Southern California) | Oates, Tim (University of Maryland Baltimore County) | Riedl, Mark (University of Southern California) | Trajkovski, Goran P. (South University) | Truszkowski, Walt (NASA Goddard Space Flight Center) | Uckun, Serdar (NASA Ames Research Center)
The Association for the Advancement of Artificial Intelligence presented the 2007 Fall Symposium Series on Friday through Sunday, November 9–11, at the Westin Arlington Gateway, Arlington, Virginia. The titles of the seven symposia were (1) AI and Consciousness: Theoretical Foundations and Current Approaches, (2) Artificial Intelligence for Prognostics, (3) Cognitive Approaches to Natural Language Processing, (4) Computational Approaches to Representation Change during Learning and Development, (5) Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence, (6) Intelligent Narrative Technologies, and (7) Regarding the "Intelligence" in Distributed Intelligent Systems.
Cheetham, William E., Goebel, Kai
Customer service is defined as the ability of a company to afford the service requestor with the expressed need. Due to the increasing importance of service offerings as a revenue source and increasing competition among service providers, it is important for companies to optimize both the customer experience as well as the associated cost of providing the service. For more complex interactions with higher value, mixed-initiative systems provide an avenue that gives a good balance between the two goals. This article describes a mixed-initiative system that was created to improve customer support for problems customers encountered with their appliances. The tool helped call takers solve customers' problems by suggesting questions aiding the diagnosis of these problems. The mixed-initiative system improved the correctness of the diagnostic process, the speed of the process, and user satisfaction. The tool has been in use since 1999 and has provided more than $50 million in financial benefits by increasing the percentage of questions that could be answered without sending a field service technician to the customers' homes. Another mixed-initiative tool, for answering e-mail from customers, was created in 2000.
Muslea, Ion, Dignum, Virginia, Corkill, Daniel, Jonker, Catholijn, Dignum, Frank, Coradeschi, Silvia, Saffiotti, Alessandro, Fu, Dan, Orkin, Jeff, Cheetham, William E., Goebel, Kai, Bonissone, Piero, Soh, Leen-Kiat, Jones, Randolph M., Wray, Robert E., Scheutz, Matthias, Farias, Daniela Pucci de, Mannor, Shie, Theocharou, Georgios, Precup, Doina, Mobasher, Bamshad, Anand, Sarabjot Singh, Berendt, Bettina, Hotho, Andreas, Guesgen, Hans, Rosenstein, Michael T., Ghavamzadeh, Mohammad
AAAI presented the AAAI-04 workshop program on July 25-26, 2004 in San Jose, California. This program included twelve workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were as follows: (1) Adaptive Text Extraction and Mining; (2) Agent Organizations: Theory and Practice; (3) Anchoring Symbols to Sensor Data; (4) Challenges in Game AI; (5) Fielding Applications of Artificial Intelligence; (6) Forming and Maintaining Coalitions in Adaptive Multiagent Systems; (7) Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems; (8) Learning and Planning in Markov Processes -- Advances and Challenges; (9) Semantic Web Personalization; (10) Sensor Networks; (11) Spatial and Temporal Reasoning; and (12) Supervisory Control of Learning and Adaptive Systems.
Karlgren, Jussi, Kanerva, Pentti, Gamback, Bjorn, Forbus, Kenneth D., Tumer, Kagan, Stone, Peter, Goebel, Kai, Sukhatme, Gaurav S., Balch, Tucker, Fischer, Bernd, Smith, Doug, Harabagiu, Sanda, Chaudri, Vinay, Barley, Mike, Guesgen, Hans, Stahovich, Thomas, Davis, Randall, Landay, James
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2002 Spring Symposium Series, held Monday through Wednesday, 25 to 27 March 2002, at Stanford University. The nine symposia were entitled (1) Acquiring (and Using) Linguistic (and World) Knowledge for Information Access; (2) Artificial Intelligence and Interactive Entertainment; (3) Collaborative Learning Agents; (4) Information Refinement and Revision for Decision Making: Modeling for Diagnostics, Prognostics, and Prediction; (5) Intelligent Distributed and Embedded Systems; (6) Logic-Based Program Synthesis: State of the Art and Future Trends; (7) Mining Answers from Texts and Knowledge Bases; (8) Safe Learning Agents; and (9) Sketch Understanding.
The Association for the Advancement of Artificial Intelligence, in cooperation, with Stanford University's Department of Com-puter Science, presented the 1999 Spring Symposium Series on 22 to 24 March 1999 at Stanford University. The titles of the seven symposia were (1) Agents with Adjustable Autonomy, (2) Artificial Intelligence and Computer Games, (3) Artificial Intelligence in Equipment Maintenance Service and Support, (4) Hybrid Systems and AI: Modeling, Analysis, and Control of Discrete Continuous Systems, (5) Intelligent Agents in Cyberspace, (6) Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools, and (7) Search Techniques for Problem Solving under Uncertainty and Incomplete Information.