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From Data Mining to Knowledge Discovery in Databases.

by Usama Fayyad , Gregory Piatetsky-Shapiro , Padhraic Smyth - AI Magazine, , 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
Abstract - Cited by 538 (0 self) - Add to MetaCart
is discussed in more detail in the context of specific data-mining algorithms and their application. Real-world practical application issues are also outlined. Finally, the article enumerates challenges for future research and development and in particular discusses potential opportunities for AI technology

Ontologies and knowledge bases: Towards a terminological clarification

by Nicola Guarino, Pierdaniele Giaretta - Towards very Large Knowledge bases: Knowledge Building and Knowledge sharing , 1995
"... The word “ontology ” has recently gained a good popularity within the knowledge engineering community. However, its meaning tends to remain a bit vague, as the term is used in very different ways. Limiting our attention to the various proposals made in the current debate in AI, we isolate a number o ..."
Abstract - Cited by 310 (13 self) - Add to MetaCart
The word “ontology ” has recently gained a good popularity within the knowledge engineering community. However, its meaning tends to remain a bit vague, as the term is used in very different ways. Limiting our attention to the various proposals made in the current debate in AI, we isolate a number

AI and Music -- From composition to . . .

by Ramon López de Mántaras , Josep Lluís Arcos , 2002
"... In this article, we first survey the three major types of computer music systems based on AI techniques: (1) compositional, (2) improvisational, and (3) performance systems. Representative examples of each type are briefly described. Then, we look in more detail at the problem of endowing the resu ..."
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-edge applied when performing a score. Humans acquire it through a long process of observation and imitation. For this reason, previous approach-es, based on following musical rules trying to cap-ture interpretation knowledge, had serious limita-tions. An alternative approach, much closer to the observation

Expressive AI

by Michael Mateas - In Electronic Art and Animation Catalog, Art and Culture Papers, SigGraph 2000 , 2003
"... The field of Artificial Intelligence (AI) has produced a rich set of technical practices and interpretive conventions for building machines whose behavior can be narrated as intelligent activity. Artists have begun to incorporate AI ..."
Abstract - Cited by 11 (5 self) - Add to MetaCart
The field of Artificial Intelligence (AI) has produced a rich set of technical practices and interpretive conventions for building machines whose behavior can be narrated as intelligent activity. Artists have begun to incorporate AI

A-I. Interpreting Gamble Responses

by Miles S. Kimball, Claudia R. Sahm, Matthew D. Shapiro , 2009
"... This appendix provides additional details on our maximum-likelihood estimates of risk tolerance in the PSID. For a more thorough discussion of the general approach, see Kimball, Sahm and ..."
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This appendix provides additional details on our maximum-likelihood estimates of risk tolerance in the PSID. For a more thorough discussion of the general approach, see Kimball, Sahm and

Partial global planning: A coordination framework for distributed hypothesis formation

by Edmund H. Durfee, Victor R. Lesser - Systems, Man and Cybernetics, IEEE Transactions on , 1991
"... Abstruct-For distributed sensor network applications, a practical approach to generating complete interpretations from distributed data must coordinate how separate, concurrently running systems form, exchange, and fuse their individual hypotheses to form consistent interpretations. Partial global p ..."
Abstract - Cited by 171 (41 self) - Add to MetaCart
Abstruct-For distributed sensor network applications, a practical approach to generating complete interpretations from distributed data must coordinate how separate, concurrently running systems form, exchange, and fuse their individual hypotheses to form consistent interpretations. Partial global

On the complexity of solving Markov decision problems

by Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling - IN PROC. OF THE ELEVENTH INTERNATIONAL CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE , 1995
"... Markov decision problems (MDPs) provide the foundations for a number of problems of interest to AI researchers studying automated planning and reinforcement learning. In this paper, we summarize results regarding the complexity of solving MDPs and the running time of MDP solution algorithms. We argu ..."
Abstract - Cited by 162 (11 self) - Add to MetaCart
Markov decision problems (MDPs) provide the foundations for a number of problems of interest to AI researchers studying automated planning and reinforcement learning. In this paper, we summarize results regarding the complexity of solving MDPs and the running time of MDP solution algorithms. We

AI on the Battlefield: an Experimental Exploration

by Robert Rasch, Alexander Kott, Kenneth Forbus - Proceedings of the 14th Innovative Applications of Artificial Intelligence Conference , 2002
"... The US Army Battle Command Battle Lab conducted an experiment with the ICCES system -- an integrated decision aid for performing several critical steps of a US Army Brigade Military Decision Making Process: from capturing a high-level Course of Action to producing a detailed analysis and plan of tas ..."
Abstract - Cited by 14 (7 self) - Add to MetaCart
of tasks. The system integrated several available technologies based largely on AI techniques, ranging from qualitative spatial interpretation of course-ofaction diagrams to interleaved adversarial planning and scheduling. The experiment dispelled concerns about potential negative impacts of such tools

Philosophical Foundations of AI

by David Vernon, Dermot Furlong
"... Abstract. Artificial Intelligence was born in 1956 as the off-spring of the newly-created cognitivist paradigm of cognition. As such, it inherited a strong philosophical legacy of functionalism, dualism, and positivism. This legacy found its strongest statement some 20 years later in the physical sy ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
symbol systems hypothesis, a conjecture that deeply influenced the evolution of AI in subsequent years. Recent history has seen a swing away from the functionalism of classical AI toward an alternative position that re-asserts the primacy of embodiment, development, interaction, and, more recently

The Interpreted-Compiled Range of AI/DB Systems

by Anthony B. O'Hare, Amit P. Sheth , 1989
"... A range of approaches to integrating rule-based Artificial Intelligence (AI) systems and Database Management Systems are classified according to the degree of compilation that is performed by the AJ system. This interpreted-compiled range provides a framework for enumerating several relevant aspects ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
A range of approaches to integrating rule-based Artificial Intelligence (AI) systems and Database Management Systems are classified according to the degree of compilation that is performed by the AJ system. This interpreted-compiled range provides a framework for enumerating several relevant
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