This is a carefully edited volume on Artificial Intelligence in Management and Economics from the Fourth International Workshop on the subject. The following themes emerge in the book: the need to use multiple methods in any system designed to solve major real-world problems, a continuing interest in comparing the effectiveness of AI solutions with classic analytical techniques, and a growing use of AI techniques to customize products to suit individual consumers. Each of these themes is discussed within the book's major topical headings: AI Techniques, Financial Applications, Business Applications, Economic Applications, and Qualitative and Cognitive Research. The book will be of interest to both researchers and practitioners.
Foreword. Part I: Artificial Intelligence Techniques. Using Machine Learning, Neural Networks And Statistics to Predict Corporate Bankruptcy: A Comparative Study; P.P.M. Pompe, A.J. Feelder. Prolog Business Objects in a Three-Tier Architecture; D.G. Schwartz. The Effect of Training Data Set Size and the Complexity of the Separation Function on Neural Network Classification Capability: The Two-Group Case; M. Leshno, Y. Spector. Imaginal Agents; D.G. Schwartz, D. Te'eni. Part II: Financial Applications. Financial Product Representation and Development Using a Rule-Based System; A. Lange, et al. Applications of Artificial Intelligence and Cognitive Science Techniques in Banking; P. Lenca. Part III: Business Applications. AI-Supported Quality Function Deployment; Y. Reich. Knowledge Reuse in Mass Customization of Knowledge-Intensive Services; M. Benaroch. Harvest Optimization of Citrus Crop Using Genetic Algorithms; N. Levin, J. Zahavi. 'Corpus', An Approach to Capitalizing Company Knowledge; M. Grundstein. Part IV: Economic Applications. Fuzzy Approach in Economic Modelling of Economics of Growth; V. Deinichenko, et al. Computer Based Analysis of an Economy in Transition to Steady State Equilibrium; K. Cichocki, T. Szapiro. A Multistrategy Conceptual Analysis of Economic Data; K.A. Kaufman, R.S. Michalski. The Credible Modeling of Economic Agents with Limited Rationality; B. Edmonds, S. Moss. Reasoning and A Programming Language for Simulating Economic and Business Processes with Artificially Intelligent Agents; B. Edmonds, et al. Part V: Qualitative and Cognitive Research. Information Processing, Motivation and Decision Making; L.M. Botelho, H. Coelho. A Practical Tool for Explanation of Quantitative Model Behavior; R. Berndsen. Practical Application of Artificial Intelligence in Education and Training; L. Dannhauser.