Advances in Computational Modeling Research: Theory, Developments and Applications

✍ Scribed by Anna Belya Kora

• Publisher: Nova Science
• Year: 2013
• Tongue: English
• Leaves: 206
• Series: Computer Science, Technology and Applications / Computational Mathematics and Analysis Series
• Category: Library

✦ Synopsis

Agent-based models (ABM) and computational models simulate the actions and interactions of autonomous agents (both individual or collective entities such as organisations or groups) with a view to assessing their effects on the system as a whole. They combine elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. In this book, the authors discuss the modelling, simulation and optimisation of resources management in hospital emergency departments using the agent-based approach; computational modelling in male reproduction; consumer-centric agent-based marketing models; Lattice-Boltzmann simulation of transport phenomena in agroindustrial biosystems; agent-based models in cancer prevention research; model-based approaches to diagnosis of multi-agent plans; and modelling behaviour of web users as agents with reason and sentiment.

✦ Table of Contents

Cover
ADVANCES IN COMPUTATIONAL MODELING RESEARCH: THEORY, DEVELOPMENTS AND APPLICATIONS
ADVANCES IN COMPUTATIONAL MODELING RESEARCH: THEORY, DEVELOPMENTS AND APPLICATIONS
LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA
CONTENTS
PREFACE
Chapter 1: MODELING, SIMULATION AND OPTIMIZATION OF RESOURCES MANAGEMENT IN HOSPITAL EMERGENCY DEPARTMENTS USING THE AGENT-BASED APPROACH
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. AGENT BASED MODEL OF THE EMERGENCY DEPARTMENT
4. OPTIMIZATION
CONCLUSION
REFERENCES
Chapter 2: COMPUTATIONAL MODELING IN MALE REPRODUCTION
ABSTRACT
INTRODUCTION
COMPLEXITY IN MALE REPRODUCTION
COMPUTATIONAL MODELING OF SPERMATOZOA
THE EVOLUTION OF MODEL
FROM SEA URCHIN TO WORMS AND HUMAN: SEARCHING THE CONNECTION
CONCLUSION
REFERENCES
Chapter 3: CONSUMER-CENTRIC AGENT-BASED MARKETING MODELS: A HOW-TO APPROACH
I. INTRODUCTION
II. MODEL DEVELOPMENT GUIDELINES
CONCLUSION
REFERENCES
Chapter 4: LATTICE-BOLTZMANN SIMULATION OF TRANSPORT PHENOMENA IN AGROINDUSTRIAL BIOSYSTEMS
ABSTRACT
1. COMPUTATIONAL MODELING OF AGROINDUSTRIAL BIOSYSTEMS: BRIEF OVERVIEW
2. LATTICE-BOLTZMANN SIMULATION: BASIC CONCEPTS
3. AGROINDUSTRIAL BIOSYSTEMS (AND RELATED LBM SIMULATION) ADDRESSED IN THIS CHAPTER
4. APPLICATIONS: STEP-BY-STEP CASE STUDIES
CONCLUSION
REFERENCES
Chapter 5: AGENT-BASED MODELS IN CANCER PREVENTION RESEARCH
ABSTRACT
REPRESENTING THE CENTRAL PROCESS OF CANCER BIOLOGY: SOMATIC CELLULAR EVOLUTION
AGENT-BASED MODELS FOR STUDYING EVOLUTIONARY PROCESSES
AGENT-BASED MODELS IN CANCER PREVENTION RESEARCH
CONCLUSION
REFERENCES
Chapter 6: REFLECTIONS ON AGENT-BASED MODELING: SIMULATING WEB NETWORKS
ABSTRACT
1. INTRODUCTION ON WORLD WIDE WEB AND AGENT-BASED MODELING
2. COMPARISON BETWEEN THE WEB 1.0 AND WEB 2.0 NETWORK DYNAMICS
3. MODELING EMERGENT SOCIAL PROCESSES THROUGH THE WEB 2.0
CONCLUSION
REFERENCES
Chapter 7: MODEL-BASED APPROACHES TO DIAGNOSIS OF MULTI-AGENT PLANS: A SURVEY
Abstract
1. Introduction
2. Background on Model-Based Diagnosis
3. Agent Societies vs. Distributed Systems
4. Diagnosing Multi-agent Plans
5. Teamwork-Oriented Approaches
6. Action-Oriented Approaches
7. Discussion
8. Conclusion
References
Chapter 8: MODELING BEHAVIOR OF WEB USERS AS AGENTS WITH REASON AND SENTIMENT
Abstract
1. Introduction
2. General Structure of the Agent-Based Model of Web Users
3. What Can Be Accomplished by Agent-Based Modeling?
4. Conclusion
Acknowledgment
References
INDEX