Cognitive Architectures For Physical Agents

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Cognitive ArchitecturesFor Physical Agents

• Sara Bolduc
• Smith College CSC 290

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Overview

• Background Motivation
• Example Cognitive Architectures
• Capabilities
• Properties
• Evaluation Criteria
• Open Issues

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Background Motivation

• What is a cognitive architecture?
• Why create a cognitive architecture?
• Emerging architectural classes
• Psychological phenomena
• Representation, organization, utilization, and
  acquisition of knowledge
• Entering the commercial sector
• The need for integrated systems

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Example Cognitive Architectures

• Soar (Laird, Newell, Rosenbloom, 1987 Newell,
  1990)
• ACT-R (Anderson Lebiere, 1998 Anderson et al.,
  2005)
• PRODIGY (Carbonell, Knoblock, Minton, 1990)
• ICARUS (Langley, Cummings, Shapiro, 2004)
• The 3T Architecture (Bonasso et al., 1997)

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Capabilities

• What is a well-defined architecture?
• Recognition Categorization
• Decision Making Choice
• Perception Situation Assessment
• Prediction Monitoring
• Problem Solving Planning
• Reasoning Belief Maintenance
• Execution Action
• Interaction Communication
• Remembering, Reflection, Learning

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Properties

• Knowledge
• Representation
• Organization
• Utilization
• Acquisition Refinement

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Evaluation Criteria

• How does one evaluate cognitive architectures?
• Generality, Versatility, Taskability
• Rationality Optimality
• Efficiency Scalability
• Reactivity Persistence
• Improvability
• Autonomy Extended Operation

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Open Issues

• Episodic Memory Reflective processes
• Natural Language
• Emotions
• Enhanced learning
• And many more

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References

• Langley, P., Laird, J.E., Rogers, S. (2006).
  Cognitive Architectures Research Issues and
  Challenges (Technical Report). Computational
  Learning Laboratory, CSLI, Stanford University,
  CA.
• http//www.isle.org/langley/archs.html