A methodology for plan revision under norm and outcome compliance

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Abstract

Scholars understand an agent as a system acting in an environment. Such an environment is usually governed by norms, and the agent has to obey to such norms when pursuing her objectives. We report a non-monotonic modal logic able to describe the environment, the norms, and the agent's capabilities as well as her mental attitudes (e.g., desires, intentions). First, we show how such a logic is expressive enough to determine when the agent is compliant with respect to norms and objectives by extending it with a formal characterisation of the concepts of norm and outcome compliance. Then, in the case the agent violates some norms or does not achieve all her objectives, we propose a preliminary analysis of methodologies to revise the theory and restore compliance. © 2013 Springer-Verlag.

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Scannapieco, S., Governatori, G., Olivieri, F., & Cristani, M. (2013). A methodology for plan revision under norm and outcome compliance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8291 LNAI, pp. 324–339). https://doi.org/10.1007/978-3-642-44927-7_22

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