Ebook: Recent Advances in Intelligent Paradigms and Applications

Digital systems that bring together the computing capacity for processing large bodies of information with the human cognitive capability are called intelligent systems. Building these systems has become one of the great goals of modem technology. This goal has both intellectual and economic incentives. The need for such intelligent systems has become more intense in the face of the global connectivity of the internet. There has become an almost insatiable requirement for instantaneous information and decision brought about by this confluence of computing and communication. This requirement can only be satisfied by the construction of innovative intelligent systems. A second and perhaps an even more significant development is the great advances being made in genetics and related areas of biotechnology. Future developments in biotechnology may open the possibility for the development of a true human-silicon interaction at the micro level, neural and cellular, bringing about a need for "intelligent" systems. What is needed to further the development of intelligent systems are tools to enable the representation of human cognition in a manner that allows formal manipulation. The idea of developing such an algebra goes back to Leibniz in the 17th century with his dream of a calculus ratiocinator. It wasn't until two hundred years later beginning with the work of Boole, Cantor and Frege that a formal mathematical logic for modeling human reasoning was developed. The introduction of the modem digital computer during the Second World War by von Neumann and others was a culmination of this intellectual trend.

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The last few decades have seen a new era of artificial intelligence focusing on emulating humans, either in their behaviour or in their neurophysiology. Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. This volume is a rare collection of 12 chapters compiling the latest state-of-the-art research in the area of intelligent paradigms authored by the world leading well-established experts in the field. Each chapter focuses on different aspects of intelligent systems. The chapters present the latest theoretical developments as well as practical applications of these latest technologies.

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The last few decades have seen a new era of artificial intelligence focusing on emulating humans, either in their behaviour or in their neurophysiology. Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. This volume is a rare collection of 12 chapters compiling the latest state-of-the-art research in the area of intelligent paradigms authored by the world leading well-established experts in the field. Each chapter focuses on different aspects of intelligent systems. The chapters present the latest theoretical developments as well as practical applications of these latest technologies.
Content:
Front Matter....Pages I-XVI
Intelligent Systems: Architectures and Perspectives....Pages 1-35
Hybrid Architecture for Autonomous Robots, Based on Representation, Perception and Intelligent Control....Pages 37-56
An Intuitionistic Fuzzy Set Based Approach to Intelligent Data Analysis: An Application to Medical Diagnosis....Pages 57-70
A Fuzzy Inference Methodology Based on the Fuzzification of Set Inclusion....Pages 71-89
A Fuzzy Approach to Job-Shop Scheduling Problem Based on Imprecise Processing Times....Pages 91-106
On Efficient Representation of Expert Knowledge by Fuzzy Logic: Towards an Optimal Combination of Granularity and Higher-Order Approaches....Pages 107-132
Discovering Efficient Learning Rules for Feedforward Neural Networks Using Genetic Programming....Pages 133-159
Neuro-Fuzzy Methods for Modeling and Identification....Pages 161-186
Constrained Two Dimensional Bin Packing Using a Genetic Algorithm....Pages 187-210
Sequential and Distributed Evolutionary Algorithms for Combinatorial Optimization Problems....Pages 211-233
Embodied Emotional Agent in Intelligent Training System....Pages 235-253
Optimizing Intelligent Agent’s Constraint Satisfaction with Neural Networks....Pages 255-272

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The last few decades have seen a new era of artificial intelligence focusing on emulating humans, either in their behaviour or in their neurophysiology. Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. This volume is a rare collection of 12 chapters compiling the latest state-of-the-art research in the area of intelligent paradigms authored by the world leading well-established experts in the field. Each chapter focuses on different aspects of intelligent systems. The chapters present the latest theoretical developments as well as practical applications of these latest technologies.
Content:
Front Matter....Pages I-XVI
Intelligent Systems: Architectures and Perspectives....Pages 1-35
Hybrid Architecture for Autonomous Robots, Based on Representation, Perception and Intelligent Control....Pages 37-56
An Intuitionistic Fuzzy Set Based Approach to Intelligent Data Analysis: An Application to Medical Diagnosis....Pages 57-70
A Fuzzy Inference Methodology Based on the Fuzzification of Set Inclusion....Pages 71-89
A Fuzzy Approach to Job-Shop Scheduling Problem Based on Imprecise Processing Times....Pages 91-106
On Efficient Representation of Expert Knowledge by Fuzzy Logic: Towards an Optimal Combination of Granularity and Higher-Order Approaches....Pages 107-132
Discovering Efficient Learning Rules for Feedforward Neural Networks Using Genetic Programming....Pages 133-159
Neuro-Fuzzy Methods for Modeling and Identification....Pages 161-186
Constrained Two Dimensional Bin Packing Using a Genetic Algorithm....Pages 187-210
Sequential and Distributed Evolutionary Algorithms for Combinatorial Optimization Problems....Pages 211-233
Embodied Emotional Agent in Intelligent Training System....Pages 235-253
Optimizing Intelligent Agent’s Constraint Satisfaction with Neural Networks....Pages 255-272
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