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

Michael T. Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Muñoz-Avila, Don Perlis

AAAI 2016 pp. 3712-3718

doi:10.1609/AAAI.V30I1.9886 /aaai/2016/cox2016aaai-midca/

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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Cite

Text

Cox et al. "MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9886

Markdown

[Cox et al. "MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/cox2016aaai-midca/) doi:10.1609/AAAI.V30I1.9886

BibTeX

@inproceedings{cox2016aaai-midca,
  title     = {{MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy}},
  author    = {Cox, Michael T. and Alavi, Zohreh and Dannenhauer, Dustin and Eyorokon, Vahid and Muñoz-Avila, Hector and Perlis, Don},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {3712-3718},
  doi       = {10.1609/AAAI.V30I1.9886},
  url       = {https://mlanthology.org/aaai/2016/cox2016aaai-midca/}
}