Abstract | ||
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An important skill considered part of intelligent behavior is Abstract Thinking and Decision Making which includes thinking about a problem and reaching a decision after reasoning about its different aspects. This aspect of intelligent behavior has not recieved much attention and most of the cognitive architectures present today either focus more on the perceptual-motoric aspects of human brain or delve into the psycological, common behavioral and common sense issues. Here we present a cognitive architecture which addresses the issue of Abstract Thinking and Decision Making by using a novel representation for knowledge in the memory of an agent. The memory of an agent consists of four components, Concept Net, Working Memory, Perceptions and Possessions. Concept Net is a multi-layered net representing various concepts and their relationships with one another. We contend that this way of knowledge representation supports the process of decision making. |
Year | DOI | Venue |
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2007 | 10.1007/978-3-540-76928-6_92 | Australian Conference on Artificial Intelligence |
Keywords | Field | DocType |
abstract reasoning,different aspect,cognitive architecture,human brain,novel representation,knowledge representation,structured memory,intelligent behavior,working memory,abstract thinking,common sense issue,important skill,data processing | Knowledge representation and reasoning,Common sense,Cognitive science,Computer science,Working memory,Knowledge management,Cognition,Cognitive architecture,Perception | Conference |
Volume | ISSN | ISBN |
4830 | 0302-9743 | 3-540-76926-9 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Umair Rafique | 1 | 3 | 1.07 |
Shell Ying Huang | 2 | 161 | 19.52 |