American Association for Artificial Intelligence

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.Topics include: The principles underlying cognition, perception, and action in humans' and machines. The design, application, and evaluation of AI algorithms and intelligent systems. The analysis of tasks and domains in which intelligent systems perform.

Proceedings of the Eleventh National Conference on Artificial Intelligence

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence. The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. Topics cover principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analyses of tasks and domains in which intelligent systems perform. Distributed for AAAI Press.

Twelfth Conference on Innovative Applications of Artificial Intelligence

13-17 July 2008, Chicago, Illinois

Proceedings of the Twenty-third AAAI Conference on Artificial Intelligence and the Twentieth Innovative Applications of Artificial Intelligence Conference

Proceedings from the latest meeting of the leading AI conference; includes theoretical, experimental, and empirical work. The National Conference on Artificial Intelligence remains the bellwether for research in artificial intelligence. Leading AI researchers and practitioners as well as scientists and engineers in related fields present theoretical, experimental, and empirical results, covering a broad range of topics that include principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analyses of tasks and domains in which intelligent systems perform. The Innovative Applications of Artificial Intelligence conference highlights successful applications of AI technology; explores issues, methods, and lessons learned in the development and deployment of AI applications; and promotes an interchange of ideas between basic and applied AI. This volume presents the proceedings of the latest conferences, held in July, 2004.

Nineteenth National Conference on Artificial Intelligence (AAAI-04) : Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-04).

Proceedings

18th Innovative Applications of Artificial Intelligence Conference

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence. August 4-8, 1996, Portland, OregonAAAI '96 provides a broad forum for information exchange and interaction among researchers working in different subdisciplines, in different research paradigms, and in different stages of research in artificial intelligence. Topics cover principles underlying cognition, perception and action; design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analysis of tasks and domains in which intelligent systems perform. Included are contributions that describe theoretical, empirical, or experimental results; represent areas of AI that may have been underrepresented in recent conferences; present promising new research concepts, techniques, or perspectives; or discuss issues that cross traditional subdisciplinary boundaries. Two-volume setDistributed for the AAAI Press

Proceedings of the Thirteenth National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference

Michael Beetz

Papers from the AAAI Workshop (WS-11-11)

Human Computation

The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. Topics cover principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analyses of tasks and domains in which intelligent systems perform. Distributed for the AAAI Press

AAAI 99

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.AI and Education. Automated Reasoning: automatic programming, planning and scheduling, rule-based reasoning, search, theorem proving, uncertainty, truth-maintenance systems, constraint-based systems. Cognitive Modeling. Commonsense Reasoning: qualitative reasoning, design, diagnosis, simulation. Impacts of AI Technology: organizational, economic, and social implications. Knowledge Acquisition and Expert System Design Methodologies: techniques for designing expert systems and acquiring domain knowledge. Knowledge Representation: knowledge-representation systems, inheritance, nonmonotonic logic, nonstandard logics, temporal reasoning. Machine Architectures and Computer Languages for AI. Machine Learning. Natural Language: generation and understanding; syntax, speech, dialogue. Perception and Signal Understanding: vision. Philosophical Foundations. Robotics. User Interfaces.

Massachusetts Institute of Technology

Clark N. Glymour

Patrick J. Hayes

Fellow and Tutor in English Patrick Hayes

Kenneth M. Ford

"Were they reborn into a modern university, Plato and Aristotle and Leibniz would most suitably take up appointments in the department of computer science." Epistemology has traditionally been the study of human knowledge and rational change of human belief. Android epistemology is the exploration of the space of possible machines and their capacities for knowledge, beliefs, attitudes, desires, and for action in accord with their mental states. From the perspective of android epistemology, artificial intelligence and computational cognitive psychology form a unified endeavor: artificial intelligence explores any possible way of engineering machines with intelligent features, while cognitive psychology focuses on reverse engineering the most intelligent systems we know: us. The editors argue that contemporary android epistemology is the fruition of a long tradition in philosophical theories of knowledge and mind. The sixteen essays by both computer scientists and philosophers collected in this volume include substantial contributions to android epistemology, as well as examinations, defenses, elaborations, and challenges to the very idea. Contributors: Kalyan Shankar Basu. Margaret Boden. Selmer Bringsjord. Ronald L. Chrisley. Paul Churchland. Cary G. deBessonet. Ken Ford. James Gips. Clark Glymour. Antoni Gomila. Patrick J. Hayes. A. F. Umar Khan. Henry Kyburg. Marvin Minsky. Anatol Rapoport. Herbert Simon. Christian Stary. Lynn Andrea Stein.

Android Epistemology

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence. The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all subdisciplines of AI. Contributions include theoretical, experimental, and empirical results. Topics cover principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analysis of tasks and domains in which intelligent systems perform. Two-volume set Distributed for AAAI Press

Proceedings of the Fourteenth National Conference on Artificial Intelligence and the Ninth Innovative Applications of Artificial Intelligence Conference

American Association for Artificial Intelligence

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