I. Artificial Intelligence Techniques. - Using Machine Learning Neural Networks and Statistics to Predict Corporate Bankruptcy: A Comparative Study. - Prolog Business Objects in a Three-tier Architecture. - The Effect of Training Data Set Size and the Complexity of the Separation Function on Neural Network Classification Capability: The Two-Group Case. - Imaginal Agents. - II. Financial Applications. - Financial Product Representation and Development Using a Rule-based System. - Applications of Artificial Intelligence and Cognitive Science Techniques in Banking. - III. Business Applications. - AI-supported Quality Function Deployment. - Knowledge Reuse in Mass Customization of Knowledge-Intensive Services. - Harvest Optimization of Citrus Crop Using Genetic Algorithms. - Corpus an Approach to Capitalizing Company Knowledge. - IV. Economic Applications. - Fuzzy Approach in Economic Modelling of Economics of Growth. - Computer Based Analysis of an Economy in Transition to Steady State Equilibrium. - A Multistrategy Conceptual Analysis of Economic Data. - The Credible Modeling of Economic Agents with Limited Rationality. - Reasoning and A Programming Language for Simulating Economic and Business Processes with Artificially Intelligent Agents. - V. Qualitative and Cognitive Research. - Information processing motivation and decision making. - A Practical Tool for Explanation of Quantitative Model Behavior. - Practical Application of Artificial Intelligence in Education and Training. Language: English