This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on Hybrid Artificial Intelligence Systems contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.
Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on Hybrid Artificial Intelligence Systems contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain. This carefully edited book provides a comprehensive overview of the recent advances in the hybrid intelligent systems and covers a wide range of application areas, including data analysis and data mining, intelligent control, pattern recognition, robotics, optimization, etc. The book is aimed at researchers, practitioners and postgraduate students who are engaged in developing and applying advanced intelligent systems principles to solving real-world problems.
Hybrid Artificial Intelligence Systems.- Hybrid Artificial Intelligence Systems.- Agents and Multiagent Systems.- Analysis of Emergent Properties in a Hybrid Bio-inspired Architecture for Cognitive Agents.- Using Semantic Causality Graphs to Validate MAS Models.- A Multiagent Framework to Animate Socially Intelligent Agents.- Context Aware Hybrid Agents on Automated Dynamic Environments.- Sensitive Stigmergic Agent Systems A Hybrid Approach to Combinatorial Optimization.- Fuzzy Systems.- Agent-Based Social Modeling and Simulation with Fuzzy Sets.- Stage-Dependent Fuzzy-valued Loss Function in Two-Stage Binary Classifier.- A Feature Selection Method Using a Fuzzy Mutual Information Measure.- Interval Type-2 ANFIS.l37