Pareto Optimality and Competition

Edward Chamberlin: Monopolistic Competition and Pareto Optimality

In treatments of Monopolistic Competition, Edward Chamberlin and Joan Robinson are usually credited with simultaneously and independently developing the theory of monopolistic or imperfect competition. While their contributions were indeed simultaneously developed, it is inappropriate to treat them as having duplicated each other‟s efforts. Yet it has become customary in many treatments to rega...

Pareto-optimality of Compromise Decisions Pareto-optimality of Compromise Decisions

This paper deals with the problem of existence of compromise decisions and conditions for a compromise decision to be weakly Pareto-optimal, i.e., to be a weak Pareto-maximizer, Pareto-maximizer, or strong Pareto-maximizer. The concept of compromise decision is generalized by adopting triangular norms. Further, a concept of fuzzy interval is introduced. Suucient conditions for the existence of ...

Skyline Queries and Pareto Optimality

Reasoned Assumptions and Pareto Optimality

Default and non-monotonic inference rule* are not really epistemological statements, but are instead desires or preferences of the agent about the makeup of Its own mental state (cpistemic or otherwise). The fundamental relation in non-monotonic logic is not so mum self-knowledge as self-choice or self-determination, and the fundamental justification of the interpretations and structures involv...

Pareto Optimality in Coevolutionary Learning

We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms. We can think of agents in a coevolutionary system as performing MOO, as well: An agent interacts with many other agents, each of which can be regarded as an objective for optimization. We adapt the Pareto concept to ...