Implementing First-Order Variables in a Graphical Cognitive Architecture (bibtex)
by Rosenbloom, Paul
Abstract:
Graphical cognitive architectures implement their functionality through localized message passing among computationally limited nodes. First-order variables – particularly universally quantified ones – while critical for some potential architectural mechanisms, can be quite difficult to implement in such architectures. A new implementation strategy based on message decomposition in graphical models is presented that yields tractability while preserving key symmetries in the graphs concerning how quantified variables are represented and how symbols, probabilities and signals are processed.
Reference:
Implementing First-Order Variables in a Graphical Cognitive Architecture (Rosenbloom, Paul), In Proceedings of the First International Conference on Biologically Inspired Cognitive Architectures, IOS Press, 2010.
Bibtex Entry:
@inproceedings{rosenbloom_implementing_2010,
	address = {Washington, DC},
	title = {Implementing {First}-{Order} {Variables} in a {Graphical} {Cognitive} {Architecture}},
	url = {http://ict.usc.edu/pubs/Implementing%20First-Order%20Variables%20in%20a%20Graphical%20Cognitive%20Architecture.pdf},
	abstract = {Graphical cognitive architectures implement their functionality through localized message passing among computationally limited nodes. First-order variables – particularly universally quantified ones – while critical for some potential architectural mechanisms, can be quite difficult to implement in such architectures. A new implementation strategy based on message decomposition in graphical models is presented that yields tractability while preserving key symmetries in the graphs concerning how quantified variables are represented and how symbols, probabilities and signals are processed.},
	booktitle = {Proceedings of the {First} {International} {Conference} on {Biologically} {Inspired} {Cognitive} {Architectures}},
	publisher = {IOS Press},
	author = {Rosenbloom, Paul},
	month = nov,
	year = {2010},
	keywords = {CogArch, Cognitive Architecture, Virtual Humans}
}
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