David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Studia Logica 72 (1):61-84 (2002)
We extend our general approach to characterizing information to multi-agent systems. In particular, we provide a formal description of an agent''s knowledge containing exactly the information conveyed by some (honest) formula . Only knowing is important for dynamic agent systems in two ways. First of all, one wants to compare different states of knowledge of an agent and, secondly, for agent a''s decisions, it may be relevant that (he knows that) agent b does not know more than . There are three ways to study the question whether a formula can be interpreted as minimal information. The first method is semantic and inspects minimal models for (with respect to some information order on states). The second one is syntactic and searches for stable expansions, minimal with respect to some language *. The third method is a deductive test, known as the disjunction property. We present a condition under which the three methods are equivalent. Then, we show how to construct the order by collecting layered orders. Focusing on the multi-agent case we identify languages * for various orders , and show how they yield different notions of honesty for different multi-modal systems. We then provide several tools for studying honesty types and illustrate their usefulness on a number of examples, for three modal systems of particular interest. Finally, we relate the different notions of minimal knowledge, and describe possible patterns of honesty for these systems.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Ron Sun (2001). Cognitive Science Meets Multi-Agent Systems: A Prolegomenon. Philosophical Psychology 14 (1):5 – 28.
Luciano Serafini & Fausto Giunchiglia (2002). ML Systems: A Proof Theory for Contexts. [REVIEW] Journal of Logic, Language and Information 11 (4):471-518.
Guido Boella & Leendert van der Torre (2007). The Ontological Properties of Social Roles in Multi-Agent Systems: Definitional Dependence, Powers and Roles Playing Roles. [REVIEW] Artificial Intelligence and Law 15 (3):201-221.
Karl Tuyls, Ann Nowe, Tom Lenaerts & Bernard Manderick (2004). An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems. Synthese 139 (2):297 - 330.
Wiebe Hoek, Jan Jaspars & Elias Thijsse (1996). Honesty in Partial Logic. Studia Logica 56 (3):323 - 360.
Hans P. Van Ditmarsch (2005). Prolegomena to Dynamic Logic for Belief Revision. Synthese 147 (2):229 - 275.
Hans P. Van Ditmarsch (2005). Prolegomena to Dynamic Logic for Belief Revision. Synthese 147 (2):229-275.
Wiebe van Der Hoek & Elias Thijsse (2002). A General Approach to Multi-Agent Minimal Knowledge: With Tools and Samples. Studia Logica 72 (1):61 - 84.
Added to index2009-01-28
Total downloads3 ( #271,070 of 1,096,449 )
Recent downloads (6 months)1 ( #231,754 of 1,096,449 )
How can I increase my downloads?