Intelligent Decision Making: An AI-Based Approach

Background: Human Decision Making.- Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support.- Cognitive Elements of Human Decision Making.- Methods: Computational Intelligence.- to Computational Intelligence for Decision Making.- Collaborative Decision Making Amongst Human and Artificial Beings.- Decision Analysis with Fuzzy Targets.- An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Making.- A Replanning Support for Critical Decision Making Situations: A Modelling Approach.- A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support.- Applications: Intelligent Decision Support.- A Consensus Support System for Group Decision Making Problems with Heterogeneous Information.- Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks.- Building Intelligent Sensor Networks with Multiagent Graphical Models.- An Intelligent Expert Systems' Approach to Layout Decision Analysis and Design under Uncertainty.- Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective.- Future Directions: Building a Decision Making Framework Using Agent Teams.