The Handbook on Reasoning-Based Intelligent Systems

This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.

Readership: Graduate students, software engineers and researchers in theoretical computer science, artificial intelligence and neural networks.

Table of Contents

Chapter 1. Advances in Intelligent Systems
Chapter 2. Stability, Chaos and Limit Cycles in Recurrent Cognitive Reasoning Systems
Chapter 3. Some Studies on Data Mining
Chapter 4. Rough Non-deterministic Information Analysis for Uncertain Information
Chapter 5. Metamathematical Limits to Computation
Chapter 6. Hypothesis Refinement: Building Hypotheses in an Intelligent Agent System
Chapter 7. A Heuristic Algorithmic Procedure to Solve Allocation Problems with Fuzzy Evaluations
Chapter 8. Non-Classical Logics and Intelligent Systems
Chapter 9. A Paraconsistent Annotated Logic Program Before-after EVALPSN and its Application
Chapter 10. Inspecting and Preferring Abductive Models
Chapter 11. Supervised Neural Network Learning: from Vectors to Graphs
Chapter 12. Paraconsistent Artificial Neural Networks and Applications
Chapter 13. Paraconsistent Annotated Evidential Logic Eτ and Applications in Automation and Robotics
Chapter 14. Adaptive Intelligent Learning System for Online Learning Environments
Chapter 15. Automatic Test Program Generation: How Artificial Evolution may Outperform Experience
Chapter 16. Discovery of Communications Patterns by the Use of Intelligent Reasoning
Chapter 17. Adaptive Approach to Quality Enhancement and Storage of Signatures and Fingerprint Images
Chapter 18. Knowledge Representation for Electronic Circuits in Logic Programming
Chapter 19. An Intelligent CBR Model for Predicting Changes in Tropical Cyclones Intensities
Chapter 20. Analysis of Sequential Data in Tool Manufacturing of Volkswagen AG
Chapter 21. Reasoning-Based Artificial Agents in Agent-Based Computational Economics
Chapter 22. Reasoning and Knowledge Acquisition from Medical Database using Lattice SOM and Tree Structure SOM
Chapter 23. Approximate Processing in Medical Diagnosis by Means of Deductive Agents