Coherence

Reasoning about norm compliance (extended abstract)

Publication Type:

Conference Proceedings

Source:

Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), International Foundation for Autonomous Agents and Multiagent Systems, Taipei, Taiwan, p.1191-1192 (2011)

ISBN:

978-0-9826571-7-1

Keywords:

agent architecture; norm compliance; BDI agents; coherence

Abstract:

This paper proposes a reasoning process to allow agents to decide when and how norms should be violated or obeyed. The coherence-based reasoning mechanism proposed in this paper, allows norm aware agents to confront the norm compliance dilemma and build alternatives for such normative decisions.

The coherence of Lukasiewicz assessments is NP-complete

Publication Type:

Journal Article

Source:

International Journal of Approximate reasoning, Volume 51, Issue 3, p.294--304 (2010)

Keywords:

Computational Complexity; NP-completeness

Coherence as an Inclusive Notion of Rationality

Publication Type:

Conference Paper

Source:

Artificial Intelligence Research and Development. Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence, IOS Press, Volume 202, Cardona, Catalonia, Spain, p.224-233 (2009)

ISBN:

978-1-67050-061-2

Keywords:

Coherence; Rationality

Abstract:

We propose utility coherence graphs along with coherence maximisation based on Thagard's theory of coherence as an alternative to utility functions to model rational behaviour of agents. We show that the traditional behaviour of utility functions can be emulated using our approach and prove that \emph{the maximum element of a preference ordering is the same as that found by coherence maximisation over a corresponding utility coherence graph}. We argue that utility coherence graphs have marked advantages over utility functions, in that they blend well with the internal representation and reasoning of cognitive agents, and in that they can model the dynamism and uncertainty inherent in the rational behaviour of agents. We illustrate this by modeling the prisoner's dilemma with a utility coherence graph.

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