Handbook of Research on Nature inspired Computing for Economics and Management 1st Edition by Jean Philippe Rennard 1591409853 9781591409854

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ISBN 10: 1591409853

ISBN 13: 9781591409854

Author: Jean-Philippe Rennard

The Handbook of Research on Nature-Inspired Computing for Economics and Management is an original, comprehensive reference work of research spanning from applications of nature-inspired computing to economics and management. An authoritative two-volume set, this resource provides global coverage on this new and exciting field, gathering the work of over 100 internationally-known contributors. This set also explores how complexities found in nature can be modeled to simulate and optimize business situations. It provides practitioners a global view of the current and future applications of this ground-breaking technology, and also includes more than 1,900 references to existing literature in the field.

Handbook of Research on Nature inspired Computing for Economics and Management 1st Table of contents:

Section I: Nature Inspired Computing
Ch I: Artificiality in Social Sciences
Ch II: Multi-Cellular Techniques
Ch III: Stochastic Optimization Algorithms
Ch IV: Evolutionary Algorithms
Ch V: Genetic Programming
Ch VI: Evolutionary Multi-Objective Optimization in Finance

Section II: Social Modeling
Ch VII: Simulation in the Social Sciences
Ch VIII: Multi-Agent Systems Research and Social Science Theory Building
Ch IX: A Dynamic Agent-Based Model of Corruption
Ch X: Human Nature in the Adaption of Trust
Ch XI: Cognitively Based Modeling of Scientific Productivity
Ch XII: Nature-Inspired Knowledge Mining Algorithms for Emergent Behaviour Discovery in Economic Mod
Ch XIII: The Grid for Nature-Inspired Computing and Complex Simulations

Section III: Economics
Ch XIV: Agent-Based Computational Economics
Ch XV: Data Gathering to Build and Validate Small-Scale Social Models for Simulation
Ch XVI: Modeling Qualitative Development
Ch XVII: Agent-Based Modeling with Boundedly Rational Agents
Ch XVIII: Heterogeneous Learning Using Genetic Algorithms
Ch XIX: Modeling the Firm as an Artificial Neural Network
Ch XX: Evolutionary Modeling and Industrial Structure Emergence
Ch XXI: Population Symbiotic Evolution in a Model of Industrial Districts
Ch XXII: Competitive Advantage of Geographical Clusters
Ch XXIII: A Simulation of Strategic Bargainings within a Biotechnology Cluster
Ch XXIV: Knowledge Accumulation in Hayekian Market Process Theory
Ch XXV: On Technological Specialization in Industrial Clusters
Ch XXVI: Simulating Product Invention Using InventSim

Section IV: Human-Centric Evolutionary Systems in Design and Decision-Making
Ch XXVII: Human-Centric Evolutionary Systems in Design and Decision Making
Ch XXVIII: Genetic Algorithms for Organizational Design and Inspired by Organizational Theory
Ch XXIX: Autonomous Systems with Emergent Behavior
Ch XXX: An Evolutionary Algorithm for Decisional Assistance to Project Management
Ch XXXI: How Genetic Algorithms Handle Parento-Optimality in Design and Manufacturing

Section V: Operations and Supply Chain Management
Ch XXXII: Evolutionary Optimization in Production Research
Ch XXXIII: Ant Colony Optimization and Multiple Knapsack Problem
Ch XXXIV: A New Way to Reorganize a Productive Department in Cells
Ch XXXV: Agent-Oriented Modeling and Simulation of Distributed Manufacturing
Ch XXXVI: Application of RAP/AOR to the Modeling and Simulation of a Ceramics Factory
Ch XXXVII: Building Distribution Networks Using Cooperating Agents
Ch XXXVIII: Games, Supply Chains, and Automatic Strategy Discovery Using Evolutionary Computation
Ch XXXIX: Applications of Neutral Networks in Supply Chain Management
Ch XL: An Object-Oriented Framework for Rapid Genetic Algorithm Development
Ch XLI: Applications of JGA to Operations Management and Vehicle Routing
Ch XLII: Solving Facility Location Problems with a Tool for Rapid Development of Multi-Objective Evo
Ch XLIII: Worker Performance Modeling in Manufacturing Systems Simulation

Section VI: Information Systems
Ch XLIV: Toward an Agent-Oriented Paradigm of Information Systems
Ch XLV: Caste-Centric Development of Agent-Oriented Information Systems
Ch XLVI: Evolving Learning Ecologies
Ch XLVII: Efficient Searching in Peer-to-Peer Networks Using Agent-Enabled Ant Algorithms

Section VII: Commerce and Negotiation
Ch XLVIII: An Annealing Protocol for Negotiating Complex Contracts
Ch XLIX: Agents for Multi-Issue Negotiation
Ch L: An Introduction of Evolutionary Computation in Auctions
Ch LI: Virtual Organization Support through Electronic Institutions and Normative Multi-Agent System

Section VIII: Marketing
Ch LII: Co-Evolving Better Strategies in Oligopolistic Price Wars
Ch LIII: Social Anti-Percolation and Negative Word of Mouth
Ch LIV: Complexity-Based Modeling Approaches for Commercial Applications

Section IX: Finance
Ch LV: Genetic Programming for Spatiotemporal Forecasting of Housing Prices
Ch LVI: Multiattribute Methodologies in Finance Decision Aid
Ch LVII: Multi-Objective Optimization Evolutionary Algorithms in Insurance-Linked Derivatives
Ch LVIII: Modeling an Artificial Stock Market

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Tags: Jean Philippe Rennard, Research, Computing, Economics