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Escaping Local Minima Via Appraisal Driven Responses
[post]
2022
unpublished
Inspired by the reflective and deliberative control mechanisms used in cognitive architectures such as SOAR and Sigma, we propose an alternative decision mechanism driven by architectural appraisals allowing robots to overcome impasses. The presented work builds on and improves on our previous work on a generally applicable decision mechanism with roots in the Standard Model of the Mind and the Generalized Cognitive Hour-glass Model. The proposed decision mechanism provides automatic
doi:10.20944/preprints202211.0511.v1
fatcat:7badci7khjeyxlneurbeck4oiy