Cognitive Architectures For Physical Agents Sara Bolduc Smith College CSC 290.

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Presentation transcript:

Cognitive Architectures For Physical Agents Sara Bolduc Smith College CSC 290

Overview Background & Motivation Example Cognitive Architectures Capabilities Properties Evaluation Criteria Open Issues

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

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)

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

Properties Knowledge: –Representation –Organization –Utilization –Acquisition & Refinement

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

Open Issues Episodic Memory & Reflective processes Natural Language Emotions Enhanced learning And many more…

References Langley, P., Laird, J.E., & Rogers, S. (2006). Cognitive Architectures: Research Issues and Challenges (Technical Report). Computational Learning Laboratory, CSLI, Stanford University, CA.