(Enter summary)
Abstract: : The standard model of knowledge in multi-agent systems suffers from what has been
called the logical omniscience problem: agents know all tautologies, and know all the logical
consequences of their knowledge. For many types of analysis, this turns out not to be a problem.
Knowledge is viewed as being ascribed by the system designer to the agents; agents are not assumed
to compute their knowledge in any way, nor is it assumed that they can necessarily answer questions
based on their knowledge. ... (Update)
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BibTeX entry: (Update)
Joseph Y. Halpern, Yoram Moses, and Moshe Y. Vardi. Algorithmic knowledge. In Ronald Fagin, editor, Theoretical Aspects of Reasoning about Knowledge: Proc. Fifth Conference, pages 255--266, San Francisco, 1994. Morgan Kaufmann. http://citeseer.ist.psu.edu/halpern94algorithmic.html More
@incollection{ halpern94algorithmic,
author = "Jospeh Y. Halpern and Yoram Moses and Moshe Y. Vardi",
title = "Algorithmic Knowledge",
booktitle = "Theoretical Aspects of Reasoning about Knowledge: Proceedings of the Fifth Conference ({TARK} 1994)",
publisher = "Morgan Kaufmann",
address = "San Francisco",
editor = "Ronald Fagin",
pages = "255--266",
year = "1994",
url = "citeseer.ist.psu.edu/halpern94algorithmic.html" }
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