Abstract
We describe a general model of agent action, and ways of constraining action using norms. The agents under study are supersoft agents: autonomous artificial agents programmed to collect, formalise, and actively use qualitative data. A consistent, interruptible, and pre-emptive anytime algorithm that also has measurable quality and diminishing returns is discussed. The algorithm controls procedures for decision making already implemented. The model thus has computational meaning and strives to characterise real-time decision making in agents acting under uncertainty in imprecise and partially described environments.
The author would like to thank Love Ekenberg, Mats Danielson, Harko Verhagen, and the participants of the ICMAS'96 Workshop of Norms, Obligations, and Conventions for discussions in relation to this paper. This work was in part supported by NFR.
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Boman, M. (1997). Norms as constraints on real-time autonomous agent action. In: Boman, M., Van de Velde, W. (eds) Multi-Agent Rationality. MAAMAW 1997. Lecture Notes in Computer Science, vol 1237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63077-5_24
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DOI: https://doi.org/10.1007/3-540-63077-5_24
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