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.
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Scannapieco, S., Governatori, G., Olivieri, F., Cristani, M. (2013). A Methodology for Plan Revision under Norm and Outcome Compliance. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds) PRIMA 2013: Principles and Practice of Multi-Agent Systems. PRIMA 2013. Lecture Notes in Computer Science(), vol 8291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44927-7_22
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DOI: https://doi.org/10.1007/978-3-642-44927-7_22
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