Ebook: Intelligent Decision Making: An AI-Based Approach

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

---

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology.  Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker.  At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications.  This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

---

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology.  Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker.  At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications.  This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Content:
Front Matter....Pages i-xiv
Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support....Pages 3-40
Cognitive Elements of Human Decision Making....Pages 41-76
Introduction to Computational Intelligence for Decision Making....Pages 79-96
Collaborative Decision Making Amongst Human and Artificial Beings....Pages 97-133
Decision Analysis with Fuzzy Targets....Pages 135-155
An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Making....Pages 157-171
A Replanning Support for Critical Decision Making Situations: A Modelling Approach....Pages 173-192
A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support....Pages 193-226
A Consensus Support System for Group Decision Making Problems with Heterogeneous Information....Pages 229-257
Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks....Pages 259-287
Building Intelligent Sensor Networks with Multiagent Graphical Models....Pages 289-320
An Intelligent Expert Systems' Approach to Layout Decision Analysis and Design under Uncertainty....Pages 321-364
Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective....Pages 365-385
Future Directions: Building a Decision Making Framework Using Agent Teams....Pages 387-408
Back Matter....Pages 409-410

---

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology.  Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker.  At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications.  This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Content:
Front Matter....Pages i-xiv
Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support....Pages 3-40
Cognitive Elements of Human Decision Making....Pages 41-76
Introduction to Computational Intelligence for Decision Making....Pages 79-96
Collaborative Decision Making Amongst Human and Artificial Beings....Pages 97-133
Decision Analysis with Fuzzy Targets....Pages 135-155
An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Making....Pages 157-171
A Replanning Support for Critical Decision Making Situations: A Modelling Approach....Pages 173-192
A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support....Pages 193-226
A Consensus Support System for Group Decision Making Problems with Heterogeneous Information....Pages 229-257
Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks....Pages 259-287
Building Intelligent Sensor Networks with Multiagent Graphical Models....Pages 289-320
An Intelligent Expert Systems' Approach to Layout Decision Analysis and Design under Uncertainty....Pages 321-364
Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective....Pages 365-385
Future Directions: Building a Decision Making Framework Using Agent Teams....Pages 387-408
Back Matter....Pages 409-410
....