A Partially Observable Markov-Decision-Process-Based Blackboard Architecture for Cognitive Agents in Partially Observable Environments
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DOI: 10.1109/tcds.2020.3034428
Abstract: Partial observability, or the inability of an agent to fully observe the state of its environment, exists in many real-world problem domains. However, most cognitive architectures do not have a theoretical foundation that allows for… read more here.
Keywords: partially observable; blackboard architecture; markov decision; observable markov ... See more keywords