SOAR: an architecture for general intelligence
Artificial Intelligence
Introduction to artificial intelligence
Introduction to artificial intelligence
Unified theories of cognition
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Robust reasoning: integrating rule-based and similarity-based reasoning
Artificial Intelligence
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Soar Papers: Research on Integrated Intelligence
Soar Papers: Research on Integrated Intelligence
Knowledge Representation and Reasoning
Knowledge Representation and Reasoning
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One important aspect of intelligent decision making is to infer a best explanation for a set of observations, a process resembling abduction. In this paper, we report a hybrid system to simulate this process. Specifically, the system combines a symbolic Soar component for deliberate explanation generation and a connectionist UEcho component for implicit explanation evaluation. To evaluate the system, we trained the system to perform a tactical decision making task based on expert data in one scenario, and tested it on two novel scenarios. The implications of such hybrid systems are discussed.