David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
European Physical Journal B 85 (1):44 (15) (2012)
We present a model for studying communities of epistemically interacting agents who update their belief states by averaging (in a specified way) the belief states of other agents in the community. The agents in our model have a rich belief state, involving multiple independent issues which are interrelated in such a way that they form a theory of the world. Our main goal is to calculate the probability for an agent to end up in an inconsistent belief state due to updating (in the given way). To that end, an analytical expression is given and evaluated numerically, both exactly and using statistical sampling. It is shown that, under the assumptions of our model, an agent always has a probability of less than 2% of ending up in an inconsistent belief state. Moreover, this probability can be made arbitrarily small by increasing the number of independent issues the agents have to judge or by increasing the group size. A real-world situation to which this model applies is a group of experts participating in a Delphi-study.
|Keywords||belief revision multi-agent system theory of the world probability inconsistency simulation judgement aggregation formal social epistemology|
|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
Sylvia Wenmackers (2011). Philosophy of Probability: Foundations, Epistemology, and Computation. Dissertation, University of Groningen
John Cantwell (2005). A Formal Model of Multi-Agent Belief-Interaction. Journal of Logic, Language and Information 14 (4):397-422.
John Cantwell (2006). A Formal Model of Multi-Agent Belief-Interaction. Journal of Logic, Language and Information 15 (4):397-422.
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.
Giacomo Bonanno (2008). Belief Revision in a Temporal Framework. In Krzysztof Apt & Robert van Rooij (eds.), New Perspectives on Games and Interaction. Amsterdam University Press.
John Cantwell (2007). A Model for Updates in a Multi-Agent Setting. Journal of Applied Non-Classical Logics 17 (2):183-196.
Wolfgang Spohn (1988). Ordinal Conditional Functions. A Dynamic Theory of Epistemic States. In W. L. Harper & B. Skyrms (eds.), Causation in Decision, Belief Change, and Statistics, vol. II. Kluwer.
John L. Pollock & Anthony S. Gillies (2000). Belief Revision and Epistemology. Synthese 122 (1-2):69-92.
Hans van Ditmarsch & Willem Labuschagne (2007). My Beliefs About Your Beliefs: A Case Study in Theory of Mind and Epistemic Logic. Synthese 155 (2):191-209.
Hans Van Ditmarsch & Willem Labuschagne (2007). My Beliefs About Your Beliefs: A Case Study in Theory of Mind and Epistemic Logic. Synthese 155 (2):191 - 209.
Renata Wassermann (1999). Resource Bounded Belief Revision. Erkenntnis 50 (2-3):429-446.
Mark Jago (2006). Resource-Bounded Belief Revision and Contraction. In P. Torroni, U. Endriss, M. Baldoni & A. Omicini (eds.), Declarative Agent Languages and Technologies III. Springer. 141--154.
Added to index2012-04-24
Total downloads130 ( #7,538 of 1,100,145 )
Recent downloads (6 months)19 ( #10,970 of 1,100,145 )
How can I increase my downloads?