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Bayesian statistical decision theory --- Maximum entropy method --- Congresses --- Industrial applications

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A surprise is how the complexities of voting theory can be explained and resolved with the comfortable geometry of our three-dimensional world. This book is directed toward students and others wishing to learn about voting, experts will discover previously unpublished results. As an example, a new profile decomposition quickly resolves two centuries old controversies of Condorcet and Borda, demonstrates, that the rankings of pairwise and other methods differ because they rely on different information, casts series doubt on the reliability of a Condorcet winner as a standard for the field, makes the famous Arrow`s Theorem predictable, and simplifies the construction of examples. The geometry unifies seemingly disparate topics as manipulation, monotonicity, and even the apportionment issues of the US Supreme Court.

Operational research. Game theory --- Political sociology --- Voting research --- Geometry --- Mathematics. --- Government - General --- Law, Politics & Government --- Political Institutions & Public Administration - General --- Mathematics --- 514.17 --- -Voting --- Voting behavior research --- Elections --- Euclid's Elements --- Convex sets. Geometric figure arrangements. Geometric inequalities --- Research --- -Convex sets. Geometric figure arrangements. Geometric inequalities --- 514.17 Convex sets. Geometric figure arrangements. Geometric inequalities --- -514.17 Convex sets. Geometric figure arrangements. Geometric inequalities --- Voting --- Social choice. --- Voting research - Mathematics. --- Voting theory --- Operations research. --- Decision making. --- Economic theory. --- Operations Research/Decision Theory. --- Economic Theory/Quantitative Economics/Mathematical Methods.

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This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia. The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.

Evolutionary programming (Computer science) --- Genetic algorithms --- Artificial intelligence --- Congresses. --- Congresses --- Artificial intelligence. --- Numerical analysis. --- Distribution (Probability theory. --- Statistics. --- Operations research. --- Combinatorics. --- Artificial Intelligence. --- Numerical Analysis. --- Probability Theory and Stochastic Processes. --- Statistics, general. --- Operations Research/Decision Theory. --- Combinatorics --- Algebra --- Mathematical analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Evolutionary programming (Computer science) - Congresses. --- Genetic algorithms - Congresses. --- Artificial intelligence - Congresses.