%0 Book %1 way91 %A Way, Eileen C. %D 1991 %I Kluiver %K representation knowledge %T Knowledge Representation and Metaphor

@book{way91, added-at = {2006-03-24T16:34:33.000+0100}, author = {Way, Eileen C.}, biburl = {https://www.bibsonomy.org/bibtex/21b742a903f8faafd65aa233551b1fee8/neilernst}, citeulike-article-id = {120113}, comment = {ch 3 Knoweledge Reprensentatin Hypothesis: p62 internal meaning of representation? knowledge=justified true belief in phil. in AI more about background info and beliefs about the world, not necc. correct. p.64 knowledge repres. schemes are often only valid for a particular domain p66 must have an associated semantic theory like frames procedural vs. declarative knowledge (knowing how vs knwing that) p 73 meta-knowledge - way for a system to monitor itself and 'know' itself.p75 reasoning types - default vs non-monotonic reasoning mccarthy and hayes 1969 the frame problem: representing 'situations' over changes p79 the place of logic in AI - does not model reality formalizable does not neccessarily involve FOLp94 if we can't conclude 100% that all birds can fly (non-monotonocity of the semantic representation) canwe not still assign some probabilities to that statement instead? This seems more like what actually happens in the real world reasoning of humn p98 good discussion of various representation sschemes in chap 4. Just how relevant is the theory of conceptual grapsh (Sowa)?}, description = {sdasda}, interhash = {3b1ab4000a8ad8d7af3b5a56d15dc70f}, intrahash = {1b742a903f8faafd65aa233551b1fee8}, keywords = {representation knowledge}, priority = {0}, publisher = {Kluiver}, timestamp = {2006-03-24T16:34:33.000+0100}, title = {Knowledge {R}epresentation and {M}etaphor}, year = 1991 }