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D. Fitoussi and M. Tennenholtz. Choosing social laws for multi-agent systems: Minimality and simplicity. Artificial Intelligence, 119(1-2):61--101, 2000.

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Ontological modelling of Natural Categories-based.. - Cesreo..   (Correct)

....they ensure that the agents are capable of achieving their objectives and the society can meet its global objective. Designing social laws is a quite complex task, so it would be very helpful to have a metric for measuring the goodness of a particular social law in comparison to other laws. In [11], several criteria that have been considered useful are defined, namely: minimal social laws criteria, and simple social laws criteria. 3.1 Minimal social law Each agent has both a series of objectives to achieve and a series of strategies to accomplish those objectives. Besides, objectives at a ....

Fitoussi D. & Tennenholtz M. (2000): Choosing social laws for multi-agent systems: Minimality and simplicity. Artificial Intelligence 119: 61-101.


Knowledge and Social Laws - van der Hoek, Roberts, Wooldridge (2005)   (Correct)

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D. Fitoussi and M. Tennenholtz. Choosing social laws for multi-agent systems: Minimality and simplicity. Artificial Intelligence, 119(1-2):61--101, 2000.


A Cooperation Logic Framework for Social Laws - van der Hoek, Roberts..   (Correct)

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D. Fitoussi and M. Tennenholtz. Choosing social laws for multi-agent systems: Minimality and simplicity. Artificial Intelligence, 119(1-2):61--101, 2000.


Social Network Coordination and Graph Routing - Onn, Sperber   (Correct)

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D. Fitoussi and M. Tennenholtz, Choosing social laws for multi-agent systems: minimality and simplicity, Artific Intell 119 (2000), 61--101.

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