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

Table of Contents

Reasoning Based Systems - Theories, Applications and Modeling; Stability, Chaos and Limit Cycles in Recurrent Cognitive Reasoning Systems; New Adaptive Intelligent Learning System for Online Learning Environments; Automatic Test of Embedded Peripherals: How Artificial Evolution may Outperform Experience; Immune System-based Customer Data Clustering Techniques in an e-Shopping Application; Integrated Knowledge Representations and Reasoning Approaches; Some Studies on Data Mining; Interpretation of Statistical Modeling with Computational Intelligence in the Human Sciences; Rough Sets Non-deterministic Information Analysis - A Rough Sets Based Framework for Handling Incomplete Information; On Semi-Supervised Clustering; The Discovery of Telephone Call Patterns by use of Intelligent Reasoning; Limits Imposed by Logic on Computer Science; New Approach for Enhancement the Quality of Images of Signatures and Fingerprints; A Family of Heuristic Algorithms for Allocation Problems, Based on a Nonclassical Logical Substract; Approximate Processing in Medical Diagnosis by Means of Deductive Agents; Knowledge Representation for Electric Circuits in Logic Programming; Rough Sets as a Basis for Decision Data Analysis; An Intelligent CBR System for Severe Weather Forecast; Non-Classical Logics and Reasoning-Based Systems; Paraconsistent Annotated Evidential Logic E(tau) and Some Applications in Automation and Robotics; Paraconsistent Artificial Neural Networks: Application in EEG Analysis; Model Generation Theorem Provers and Answer Set Programming (ASP); Neuro-Fuzzy Learning for Online Risk Assessment; Abductive Reasoning in a Dynamic Intelligent Agent System; Finding Typical and Frequent Sequences in Manufacturing Processes; Reasoning-Based Adaptive Economic Agents: Its Role in the Development of Agent-Based Computational Economics; Reasoning and Knowledge Acquisition from Medical Database using Lattice SOM and Tree Structure SOM; A Paraconsistent Annotated Logic Program Before-After EVALPSN; Expressing a Priori and Posteriori Preference Theories Over Abductive Models and Their Prospective Updating; A Hybrid Case-Based Reasoning System for Decision Support of Manufacturing Technology Investments; Neural Processing of Structured Data.