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Abstract: . Just as cooperation in multi-agent systems is a central issue for solving complex decision problems, so too is the ability for an intelligent agent to reason about combined knowledge, coming from its background knowledge and the communicated information. Specifically, such an agent is confronted with three main difficulties: the prospect of inconsistency which arises when different beliefs are grouped together, the presence of uncertainty which may occur due to not fully reliable... (Update)
Context of citations to this paper: More
...related to the path that has the greatest likelihood of overall success. These likelihoods are derived from actual plan performance [12]. An estimate of the likelihood of success could be expressed in terms of a probability distribution. Any attempt to estimate a precise...
.... the expected time and or cost to deal with the process, and the expected likelihood of the process leading to a satisfactory conclusion [14]. The system provides assistance to the user by suggesting how delegation could be performed using a method that the user has specified in...
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BibTeX entry: (Update)
Koriche, F. (1998): "Approximate Reasoning about Combined Knowledge" in Intelligent Agents IV, Singh M.P, Rao, A. and Wooldridge, M.J. (Eds) (Springer Verlag) http://citeseer.ist.psu.edu/koriche98approximate.html More
@inproceedings{ koriche97approximate,
author = "Frric Koriche",
title = "Approximate Reasoning about Combined Knowledge",
booktitle = "Agent Theories, Architectures, and Languages",
pages = "259-273",
year = "1997",
url = "citeseer.ist.psu.edu/koriche98approximate.html" }
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