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.