Sokolova / Fernández Caballero Decision Making in Complex Systems

The DeciMaS Agent-based Interdisciplinary Framework Approach
1. Auflage 2012
ISBN: 978-3-642-25544-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 30, 184 Seiten

Reihe: Intelligent Systems Reference Library

The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others.

Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems.

The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.

Autoren/Hrsg.

Sokolova, Marina V.

Fernández Caballero, Antonio

Inhaltsverzeichnis

1;Title;2
2;Preface;7
3;Contents;10
4;Decision Making in Complex Systems;15
4.1;Introduction;15
4.2;Modeling of Natural and Complex Phenomena;16
4.3;Complex Systems: Definition and Principal Characteristics;16
4.4;Decision Making and Decision Support Systems;19
4.4.1;Decision Making;19
4.4.2;The Evolution of Decision Support Systems;20
4.4.3;Decision Making in Complex Systems;23
4.5;Composite Decisions;25
4.6;Motivation;27
4.6.1;Frameworks for the Design of Decision Support Systems;27
4.6.2;The Need for an Interdisciplinary Approach;28
4.6.3;Multi-agent Paradigm for Complex Systems Modeling;29
5;A Review on Frameworks for Decision SupportSystems;33
5.1;Introduction;33
5.2;Decision Support Systems in Academy and Research;34
5.3;Agent-Based Frameworks for Decision Support Systems;42
5.3.1;Frameworks for Multi-agent Systems Planning;42
5.3.2;Software Tools for Multi-agent Systems Design and Implementation;50
5.3.3;Comparison of Agent-Based Frameworks;57
6;Design and Implementation of the DeciMaSFramework;60
6.1;Introduction;60
6.2;The DeciMaS Framework;61
6.3;Approach towards Ontology Creation;61
6.4;The General Structure of the System;63
6.5;Description of the Ontological Basis of the Multi-agent Architecture;67
6.5.1;The Domain of Interest Ontology;68
6.5.2;The MAS Architecture Ontology;68
6.5.3;The Tasks Ontology;70
6.5.4;The Agent Ontology;70
6.5.5;The Interactions Ontology;71
6.5.6;The Distributed Meta-Ontology;72
6.6;Data Mining Methods in the DeciMaS Framework;73
6.6.1;Methods for Information Fusion and Preprocessing;76
6.6.2;Methods for Knowledge Discovery;81
6.6.3;Methods for Decision Generation;99
7;A Case Study for the DeciMaS Framework;102
7.1;Introduction;102
7.2;Human Health Environmental Impact Assessment;103
7.2.1;Environment and Human Health;103
7.2.2;Environmental Impact Assessment;105
7.3;Design of the Agent-Based Decision Support System;105
7.3.1;Meta-ontology of the System;105
7.3.2;Logical Levels of the ADSS;111
7.3.3;The Principal Abstractions of the System;113
7.4;Implementation in Jack;134
7.4.1;Program Architecture;134
7.4.2;Defining Agents in JACK;135
8;Data and Results;152
8.1;Introduction;152
8.2;Data for Experiment;153
8.2.1;Data Retrieval and Fusion;155
8.3;Information Fusion and Preprocessing;157
8.3.1;Detection and Elimination of Artifacts;157
8.3.2;Filling of Missing Values;158
8.3.3;Smoothing Results;159
8.3.4;Normalization Results;160
8.3.5;Results of the Correlation Analysis;160
8.3.6;Decomposition Results;161
8.4;Knowledge Discovery Results;163
8.4.1;Regression Models;163
8.4.2;Neural Network Models;165
8.4.3;Models Obtained with the Group Method of Data Handling;168
8.4.4;Committee Machines;170
8.4.5;Environmental Impact Assessment Results;172
8.5;Decision Making;174
8.6;Discussion of the Experiment;178
9;Conclusions;181
9.1;Conclusions;181
9.2;Future Work;183
10;References;185