Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
The computer and the mind
Multi-Agent Coordinated Decision-Making Using Epistemic Utility Theory
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
On a qualitative theory of satisfactory control
Information Sciences: an International Journal
Decomposition of satisficing decision problems
Information Sciences: an International Journal
A theory of satisficing decisions and control
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
ADS-B based separation support for general aviation
Proceedings of the 1st International Conference on Application and Theory of Automation in Command and Control Systems
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Optimization is a mathematical sophistication of the common sense view that decision makers ought to do the best they can, and leads to well known solution concepts for mathematical games. For multi-agent systems in naturalistic settings, however, uncertainty and complexity may subordinate optimal performance to the more moderate goals of functionality and robustness. Moderation is another common sense idea that can be made mathematically precise by defining a notion of comparative rationality, leading to a theory of satisficing games. Preferences in an m-agent satisficing game are characterized by a 2m-dimensional interdependence function, from which the joint m-dimensional gains and losses of the agent system can be derived and compared to determine the set of jointly satisficing decisions. This paradigm permits decision makers in the presence of uncertainty to consider multiple sets of possible actions and make decisions that are both robust and functional. Two well-known games, Prisoner's Dilemma and Battle of the Sexes, are analyzed from this, point of view.