ML Anthology

Connecting Cognitive and Physical Worlds with Dynamic Cost Function Definition

Jamie Lennon
AAAI 2004 pp. 989-990
/aaai/2004/lennon2004aaai-connecting/

Abstract

Our goal is to mesh the symbolic reasoning capabilities of a cognitive model with the constrained optimization possibilities inherent in optimal controls. We plan to develop and test such a system for several different dynamical models in environments of differing certainty and differing efficiency requirements. Problem Description We desire an intelligent robot that can reason, plan ahead, and make decisions based on its goals, its environment, and the desires of any teammates it might have. A cognitive model capable of symbolic inference can, with a large enough rules set and world information, do this for us. It can make judgment calls not only about what actions it should undertake, but *how * it should perform them-

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Cite

Text

Lennon. "Connecting Cognitive and Physical Worlds with Dynamic Cost Function Definition." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Lennon. "Connecting Cognitive and Physical Worlds with Dynamic Cost Function Definition." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/lennon2004aaai-connecting/)

BibTeX

@inproceedings{lennon2004aaai-connecting,
  title     = {{Connecting Cognitive and Physical Worlds with Dynamic Cost Function Definition}},
  author    = {Lennon, Jamie},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {989-990},
  url       = {https://mlanthology.org/aaai/2004/lennon2004aaai-connecting/}
}