Computation And Complexity In Economic Behavior And Organization
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Computation and Complexity in Economic Behavior and Organization
Author: Kenneth R. Mount
language: en
Publisher: Cambridge University Press
Release Date: 2002-06-24
This book presents a model of computing and a measure of computational complexity which are intended to facilitate analysis of computations performed by people, machines, or a mixed system of people and machines. The model is designed to apply directly to models of economic theory, which typically involve continuous variables and smooth functions, without requiring analysis of approximations. The model permits analysis of the feasibility and complexity of the calculations required of economic agents in order for them to arrive at their decisions. The treatment contains applications of the model to game theory and economics, including comparison of the complexities of different solution concepts in certain bargaining games, and the trade-off between communication and computation in an example of an Edgeworth Box economy.
The Collected Papers of Leonid Hurwicz
Author: Samiran Banerjee
language: en
Publisher: Oxford University Press
Release Date: 2022
Introduces non-specialist readers to the life and work of Leonid Hurwicz, a major contributor to modern theoretical economics, Includes papers covering talks Hurwicz gave over the last 4 decades of his life, providing a detailed and nuanced understanding of economic systems and the informational and incentive issues in designing mechanisms, Contains reviews and essays on decision theory and game theory for lay readers, Brings together reminiscences from co-authors and colleagues offering insights into Hurwicz as a person and scholar Book jacket.
The Oxford Handbook of Computational Economics and Finance
Author: Shu-Heng Chen
language: en
Publisher: Oxford University Press
Release Date: 2018-01-12
The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.