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Abstract: In traditional formal approaches to knowledge representation, agents are assumed to believe all the logical consequences of their knowledge bases. As a result, reasoning in the first-order case becomes undecidable. Since real agents are constrained by resource limitations, it seems appropriate to look for weaker forms of reasoning with better computational properties. One way to approach the problem is by modeling belief. Reasoning can then be understood as the question whether a belief follows ... (Update)
Context of citations to this paper: More
.... Some of these classical approaches have been extended and improved in more recent proposals (e.g. Lake87] LaLe88] Lake91a] [Lake94], Delg95] Wansing shows in [Wans90] how some of these logics can be seen as particular instances of a more general non normal worlds...
...possible worlds model s logical omniscience. Many of these proposals, e.g. the logic of Levesque [20] subsequently refined by Lakemeyer [19] and by Delgrande [5] and the logic of Fagin, Halpern, and Vardi [6] can be seen as making believers perfect reasoners in a weak logic...
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9: A logic of implicit and explicit belief (context) - Levesque - 1984
6: Reasoning about Knowledge (context) - Fagin, Halpern et al. - 1995
6: A Deduction Model of Belief (context) - Konolige - 1986
BibTeX entry: (Update)
G. Lakemeyer. Limited reasoning in first-order knowledge bases. Artificial Intelligence Journal 71:1--42, 1994. http://citeseer.ist.psu.edu/lakemeyer94limited.html More
@article{ lakemeyer94limited,
author = "Gerhard Lakemeyer",
title = "Limited Reasoning in First-Order Knowledge Bases",
journal = "Artificial Intelligence",
volume = "71",
number = "2",
pages = "213--255",
year = "1994",
url = "citeseer.ist.psu.edu/lakemeyer94limited.html" }
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Limited Reasoning in First-Order Knowledge Bases with Intros..
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Decidable Reasoning in First-Order Knowledge Bases with Perf.. (context) - Lakemeyer - 1991
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