Graduate studies at Western
|Abstract||Here are the topics. What is logical AI? The common sense informatic situation Relevant history of logic Problems with logical AI Nonmonotonic reasoning Domain dependent control of reasoning Concepts as objects Contexts as objects Partially defined objects Self-awareness Remarks and references LOGICAL AI Logical AI proposes computer systems that represent what they know about the world by sentences in a suitable mathematical logical language. It achieves goals by inferring that a certain strategy of action is appropriate to achieve the goal. It then carries out that strategy, using observations also expressed as logical sentences.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Hans Rott (2001). Change, Choice and Inference: A Study of Belief Revision and Nonmonotonic Reasoning. Oxford University Press.
J. P. Cleave (1991). A Study of Logics. Oxford University Press.
Yao-Hua Tan (1997). Is Default Logic a Reinvention of Inductive-Statistical Reasoning? Synthese 110 (3):357-379.
A. Fuhrmann & Hans Rott (eds.) (1996). Logic, Action, and Information: Essays on Logic in Philosophy and Artificial Intelligence. W. De Gruyter.
Daniel Kayser (2010). The Place of Logic in Reasoning. Logica Universalis 4 (2):225-239.
Jan-R. Sieckmann (2003). Why Non-Monotonic Logic is Inadequate to Represent Balancing Arguments. Artificial Intelligence and Law 11 (2-3):211-219.
Aleksander Peczenik (1996). Jumps and Logic in the Law. Artificial Intelligence and Law 4 (3-4):297-329.
Added to index2010-12-22
Total downloads13 ( #95,713 of 740,546 )
Recent downloads (6 months)1 ( #61,960 of 740,546 )
How can I increase my downloads?