 We propose a new long-term declarative memory for Soar that leverages the computational models of analogical reasoning and generalization. We situate our research in interactive task learning (ITL) and embodied language processing (ELP). We demonstrate that the  learning methods implemented in the proposed memory can quickly learn a diverse types of novel concepts that are useful in task execution . Our approach has been instantiated in an implemented hybrid AI system AILEEN and evaluated on a simulated robotic domain.
Architectures that implement the Common Model of Cognition - Soar, ACT-R, and Sigma - have a prominent place in research on cognitive modeling as well as on designing complex intelligent agents. In this paper, we explore how computational models of analogical processing can be brought into these architectures to enable concept acquisition from examples obtained interactively. We propose a new analogical concept memory for Soar that augments its current system of declarative long-term memories. We frame the problem of concept learning as embedded within the larger context of interactive task learning (ITL) and embodied language processing (ELP). We demonstrate that the analogical learning methods implemented in the proposed memory can quickly learn a diverse types of novel concepts that are useful not only in recognition of a concept in the environment but also in action selection . Our approach has been instantiated in an implemented cognitive systemAileen and evaluated on a simulated robotic domain.
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Architectures that implement the Common Model of Cognition - Soar, ACT-R, and Sigma - have a prominent place in research on cognitive modeling as well as on designing complex intelligent agents. In this paper, we explore how computational models of analogical processing can be brought into these architectures to enable concept acquisition from examples obtained interactively.
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long-term declarative
analogical concept
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leverages the computational models of analogical reasoning and generalization. We situate our research in
augments its current system of declarative long-term memories. We frame the problem of concept learning as embedded within the larger context of
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analogical
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in task execution
not only in recognition of a concept in the environment but also in action selection
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hybrid AI system AILEEN
cognitive system
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Aileen