MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy

Authors

  • Michael Cox Wright State University
  • Zohreh Alavi Wright State University
  • Dustin Dannenhauer Lehigh University
  • Vahid Eyorokon Wright State University
  • Hector Munoz-Avila Lehigh University
  • Don Perlis University of Maryland

DOI:

https://doi.org/10.1609/aaai.v30i1.9886

Keywords:

cognitive architecture, goal-driven autonomy, computational metacognition, cognitive robotics

Abstract

We present a metacognitive, integrated, dual-cycle architecture whose function is to provide agents with a greater capacity for acting robustly in a dynamic environment and managing unexpected events. We present MIDCA 1.3, an implementation of this architecture which explores a novel approach to goal generation, planning and execution given surprising situations. We formally define the mechanism and report empirical results from this goal generation algorithm. Finally, we describe the similarity between its choices at the cognitive level with those at the metacognitive.

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Published

2016-03-05

How to Cite

Cox, M., Alavi, Z., Dannenhauer, D., Eyorokon, V., Munoz-Avila, H., & Perlis, D. (2016). MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9886