HANDBOOK OF RESEARCH ON NATURE-INSPIRED COMPUTING FOR ECONOMICS AND MANAGEMENT

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Ouvrage 9781591409847 : HANDBOOK OF RESEARCH ON NATURE-INSPIRED COMPUTING FOR ECONOMICS AND MANAGEMENT
Description:
The Handbook of Research on Nature-Inspired Computing for Economics and Management is the original, comprehensive reference work on research and applications of nature inspired computing to economics and management. It is an authoritative source, providing global coverage of this new and exciting field. Gathering the work of over 100 internationally known contributors, this two-volume set 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.
Key Features:
# Authoritative contributions by 103 internationally renowned experts
# A single source for comprehensive information on an expansive field
# In-depth definitions of more than 400 key terms
# Organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals
# More than 1,900 references to existing literature and research on computer modeling for business
# Cross-referencing of key terms, figures, and information pertinent to nature-inspired computing
# 112 tables and more than 380 figures with detailed illustrations
# Free online access for libraries for life of the edition with the purchase of a print copy
Table of Contents:
VOLUME I: NATURE-INSPIRED COMPUTING AND SOCIAL SCIENCES
SECTION I: NATURE-INSPIRED COMPUTING
Chapter I
Artificiality in Social Sciences / Jean-Philippe Rennard
Chapter II
Multi-Cellular Techniques / Carl Anderson
Chapter III
Stochastic Optimization Algorithms / Pierre Collet and Jean-Philippe Rennard
Chapter IV
Evolutionary Algorithms / Pierre Collet
Chapter V
Genetic Programming / Pierre Collet
Chapter VI
Evolutionary Multi-Objective Optimization in Finance / Carlos Artemio Coello Coello
SECTION II: SOCIAL MODELING
Chapter VII
Simulation in the Social Sciences / Robert Axelrod
Chapter VIII
Multi-Agent Systems Research and Social Science Theory Building / Harko Verhagen
Chapter IX
A Dynamic Agent-Based Model of Corruption / Rajesh Chakrabarti
Chapter X
Human Nature in the Adaptation of Trust / Bart Nooteboom
Chapter XI
Cognitively Based Modeling of Scientific Productivity / Isaac Naveh and Ron Sun
Chapter XII
Nature-Inspired Knowledge Mining Algorithms for Emergent Behaviour Discovery in Economic Models / David Al-Dabass
Chapter XIII
The Grid for Nature-Inspired Computing and Complex Simulations / Riccardo Boero
SECTION III: ECONOMICS
Chapter XIV
Agent-Based Computational Economics / Charlotte Bruun
Chapter XV
Data Gathering to Build and Validate Small-Scale Social Models for Simulation / Juliette Rouchier
Chapter XVI
Modeling Qualitative Development / Andreas Pyka
Chapter XVII
Agent-Based Modeling with Boundedly Rational Agents / Eva Ebenhöh and Claudia Pahl-Wostl
Chapter XVIII
Heterogeneous Learning Using Genetic Algorithms / Thomas Vallée
Chapter XIX
Modeling the Firm as an Artificial Neural Network / Jason Barr and Francesco Saraceno
Chapter XX
Evolutionary Modeling and Industrial Structure Emergence / Halina Kwasnicka and Witold Kwasnicki
Chapter XXI
Population Symbiotic Evolution in a Model of Industrial Districts / Ugo Merlone and Pietro Terna
Chapter XXII
Competitive Advantage of Geographical Clusters / Vito Albino, Nunzia Carbonara, and Ilaria Giannoccaro
Chapter XXIII
A Simulation of Strategic Bargainings within a Biotechnology Cluster / Alain Berro and Isabelle Leroux
Chapter XXIV
Knowledge Accumulation in Hayekian Market Process Theory / Nicole J. Saam and Wolfgang Kerber
Chapter XXV
On Technological Specialization in Industrial Clusters / Herbert Dawid and Klaus Wersching
Chapter XXVI
Simulating Product Invention Using InventSim / Anthony Brabazon, Arlindo Silva, Tiago Ferra de Sousa, Robin Matthews, Michael O'Neill, and Ernesto Costa
VOLUME II: NATURE-INSPIRED COMPUTING AND MANAGEMENT
SECTION IV: DESIGN AND MANUFACTURING
Chapter XXVII
Human-Centric Evolutionary Systems in Design and Decision-Making / I. C. Parmee, J. R. Abraham, and A. Machwe
Chapter XXVIII
Genetic Algorithms for Organizational Design and Inspired by Organizational Theory / Tian-Li Yu, Ali A. Yassine, and David E. Goldberg
Chapter XXIX
Autonomous Systems with Emergent Behavior / Giovanna Di Marzo Serugendo
Chapter XXX
An Evolutionary Algorithm for Decisional Assistance to Project Management / Samuel Rochet and Claude Baron
Chapter XXXI
How Genetic Algorithms Handle Pareto-Optimality in Design and Manufacturing / Nirupam Chakraborti
SECTION V: OPERATIONS AND SUPPLY CHAIN MANAGEMENT
Chapter XXXII
Evolutionary Optimization in Production Research / Christos Dimopoulos
Chapter XXXIII
Ant Colony Optimization and Multiple Knapsack Problem / Stefka Fidanova
Chapter XXXIV
A New Way to Reorganize a Productive Department in Cells / Alessandro Brun and Marta Zorzini
Chapter XXXV
Agent-Oriented Modeling and Simulation of Distributed Manufacturing / Kuldar Taveter and Gerd Wagner
Chapter XXXVI
Application of RAP/AOR to the Modeling and Simulation of a Ceramics Factory / Kuldar Taveter
Chapter XXXVII
Building Distribution Networks Using Cooperating Agents / Neil Urquhart
Chapter XXXVIII
Games, Supply Chains, and Automatic Strategy Discovery Using Evolutionary Computation / Timothy Gosling, Nanlin Jin, and Edward Tsang
Chapter XXXIX
Applications of Neural Networks in Supply Chain Management / Ioannis Minis and Nikolaos Ampazis
Chapter XL
An Object-Oriented Framework for Rapid Genetic Algorithm Development / Andrés L. Medaglia and Eliécer Gutiérrez
Chapter XLI
Applications of JGA to Operations Management and Vehicle Routing / Andrés L. Medaglia and Eliécer Gutiérrez
Chapter XLII
Solving Facility Location Problems with a Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs) / Andrés L. Medaglia, Eliécer Gutiérrez, and Juan Guillermo Villegas
Chapter XLIII
Worker Performance Modeling in Manufacturing Systems Simulation / Peer-Olaf Siebers
SECTION VI: INFORMATION SYSTEMS
Chapter XLIV
Toward an Agent-Oriented Paradigm of Information Systems / Hong Zhu
Chapter XLV
Caste-Centric Development of Agent-Oriented Information Systems / Lijun Shan, Rui Shen, Ji Wang, Hong Zhu
Chapter XLVI
Evolving Learning Ecologies / Jon Dron
Chapter XLVII
Efficient Searching in Peer-to-Peer Networks Using Agent-Enabled Ant Algorithms / Prithviraj Dasgupta
SECTION VII: COMMERCE AND NEGOTIATION
Chapter XLVIII
An Annealing Protocol for Negotiating Complex Contracts / Mark Klein, Peyman Faratin, Hiroki Sayama, Yaneer Bar-Yam
Chapter XLIX
Agents for Multi-Issue Negotiation / John Debenham
Chapter L
An Introduction of Evolutionary Computation in Auctions / Asunci¢n Moch¢n, Yago S ez, David Quintana, and Pedro Isasi
Chapter LI
Virtual Organization Support through Electronic Institutions and Normative Multi-Agent Systems / Henrique Lopes Cardoso, Ana Paula Rocha, and Eugénio Oliveira
SECTION VIII: MARKETING
Chapter LII
Co-Evolving Better Strategies in Oligopolistic Price Wars / Robert Marks, David Midgley, and Lee Cooper
Chapter LIII
Social Anti-Percolation and Negative Word of Mouth / Tom Erez, Sarit Moldovan, and Sorin Solomon
Chapter LIV
Complexity-Based Modelling Approaches for Commercial Applications / David Collings and Nicola Baxter
SECTION IX: FINANCE
Chapter LV
Genetic Programming for Spatiotemporal Forecasting of Housing Prices / Mak Kaboudan
Chapter LVI
Multiattribute Methodologies in Financial Decision Aid / Mattia Ciprian, Massimiliano Kaucic, Giulia Nogherotto, Valentino Pediroda, and Danilo DiStefano
Chapter LVII
Multi-Objective Optimization Evolutionary Algorithms in Insurance-Linked Derivatives / M. J. Pérez, J. Garc¡a, L. Mart¡, and J. M. Molina
Chapter LVIII
Modeling an Artificial Stock Market / Stéphanie Lavigne and Stéphane Sanchez

Auteur : RENNARD
Editeur : CYBERTECH PUBLISHING
Nombre de pages : 989
Date de publication : 09 2006

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