The Satisficing Process: A New Look

Erlandson, Robert F.

doi:10.1109/tsmc.1981.4308606

Cited by 9 publications

(2 citation statements)

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“…Put another way, to satisfice is to accept the best solution so far obtained, once the cost of continuing to search exceeds the expected improvement in value were the search to continue. Many other variations of this concept have appeared in the literature [6,13,19,22,27,28,32,34,39,49,50,[53][54][55], and it is not the intent of this paper to review them in detail. Suffice it to say, however, that all of these approaches view satisficing as a species of bounded rationality: one settles for a solution that is deemed to be "good enough," but which is not necessarily, and usually not, optimal in any meaningful sense.…”

Section: Satisficingmentioning

confidence: 99%

Satisficing Coordination and Social Welfare for Robotic Societies

Stirling

Nokleby

2008

Int J of Soc Robotics

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The design of robotic systems that are capable of sophisticated social behavior such as cooperation, compromise, negotiation, and altruism, requires more complex mathematical models than are afforded by the classical mechanisms for making value judgments and decisions. A new concept of multi-agent satisficing, defined in terms of relative effectiveness and efficiency, is an alternative to classical optimization-based decision making. Conditional utilities, which take into account the interests of others as well as the self, represent an alternative to the categorical utilities of classical decision theory. A multi-agent utility aggregation structure is developed that avoids the sure subjugation of the interests of any individual to the interests of the group. By expressing a society as a directed acyclic graph, Bayesian network theory is applied to artificial societies. A satisficing social welfare function accounts for the influence relationships among decision-making agents.

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Section: Satisficingmentioning

confidence: 99%

Satisficing Coordination and Social Welfare for Robotic Societies

Stirling

Nokleby

2008

Int J of Soc Robotics

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“…The neighborhood systems are then defined as This very general notion of convergence has applications for the so-called statisficing process in the theory of decision making. 60…”

Section: Separation Axiomsmentioning

confidence: 99%

Generalized Topological Spaces in Evolutionary Theory and Combinatorial Chemistry

Stadler

2002

J. Chem. Inf. Comput. Sci.

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The search spaces in combinatorial chemistry as well as the sequence spaces underlying (molecular) evolution are conventionally thought of as graphs. Recombination, however, implies a nongraphical structure of the combinatorial search spaces. These structures, and their implications for search process itself, are heretofore not well understood in general. In this contribution we review a very general formalism from point set topology and discuss its application to combinatorial search spaces, fitness landscapes, evolutionary trajectories, and artificial chemistries.

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Multiobjective Decision Support for Simulated Gaming

Wierzbicki

1989

Lecture Notes in Economics and Mathematical Systems

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The Satisficing Process: A New Look

Cited by 9 publications

References 20 publications

Satisficing Coordination and Social Welfare for Robotic Societies

Satisficing Coordination and Social Welfare for Robotic Societies

Generalized Topological Spaces in Evolutionary Theory and Combinatorial Chemistry

Multiobjective Decision Support for Simulated Gaming

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