Computational Intelligence: A CompendiumJohn Fulcher Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing. |
Contents
The Optimization Process | 626 |
An Application of the Perception Mechanism | 627 |
Conclusions | 634 |
Evolutionary Multiobjective Design | 640 |
Evolutionary Multiobjective Optimization EMO | 655 |
Two Approaches to Evolutionary Multiobjective Design | 661 |
Future Research Directions | 673 |
Resources | 681 |
| 74 | |
| 81 | |
| 89 | |
Trends and Challenges of Feature Selection and Data Reduction | 101 |
Resources | 107 |
The Generative Topographic Mapping | 121 |
5 | 126 |
Harmonic Averages | 140 |
References | 147 |
Key International ConferencesWorkshops | 152 |
Negotiation Between Agents | 159 |
Selfishware and Internet Being | 173 |
Research Groups | 180 |
Evaluating Affective Embodied Agents | 206 |
Summary | 216 |
Resources 225 | 224 |
The Paraconsistent Annotated Logic Program EVALPSN | 233 |
EVALPSN Safety Verification for Control | 265 |
Beforeafter EVALPSN | 284 |
Conclusion and Future Work | 299 |
Resources | 305 |
A DOP Model for Music | 315 |
Towards a Unifying Approach | 323 |
Experiments with DOP+ | 330 |
Conclusion | 336 |
Resources | 343 |
Projection of Ontology Types | 360 |
References | 374 |
Related Work | 388 |
Performance Evaluation | 400 |
Key International ConferencesWorkshops | 406 |
Performance Comparisons | 428 |
Resources | 435 |
Grid Computing in Open Environments | 446 |
A PeertoPeer Solution to Grid Computing | 462 |
References | 477 |
Decentralized MultiAgent Clustering in Scalefree | 485 |
Dynamic Cluster Formation Algorithm | 490 |
Experimental Results | 496 |
Conclusions | 502 |
Predictor K2 511 | 510 |
Artificial Neural Networks | 519 |
Evolutionary Computation | 536 |
AgentBased Economic Simulations with CI | 549 |
Pushing the Research Frontier with CI | 570 |
Concluding Remarks | 579 |
Resources 591 | 590 |
Domain Knowledge and ProblemOriented Formation | 599 |
UserCentric Estimation of Membership Functions | 605 |
Main Design Guidelines | 620 |
Conferences | 682 |
Related Work | 691 |
Data Mining Strategy for Bandwidth Prediction | 697 |
Conclusions | 704 |
Resources | 713 |
Background Theories | 715 |
Theories | 726 |
Applications and Case Studies | 743 |
Summary and Future Directions | 753 |
Resources | 761 |
Neural Computation | 769 |
LargeScale Projects | 783 |
References | 790 |
An Evolved Neural Net Module | 797 |
Experimental Results | 808 |
Artificial Brain Architectures | 814 |
The Need for Generic Evolution | 830 |
Conclusion | 837 |
Key Journals | 845 |
Evolving Artificial Neural Network Ensembles | 851 |
Automatic Modularization | 859 |
Constructive Approaches to Ensemble Learning | 865 |
Conclusions | 872 |
Organizations Societies Special Interest Groups | 878 |
Order Based GAs | 886 |
Set Partitioning Problems | 892 |
Motivation for the Present Study | 896 |
Modifications to a Standard Order Based | 902 |
Results on Literature Benchmarks | 911 |
Summary | 919 |
Data Sets used in the Chapter | 925 |
Getting Ready to Run Genetic Programming | 936 |
Example Genetic Programming Run | 943 |
Linear and GraphBased GP | 955 |
Tricks of the Trade | 971 |
Genetic Programming Theory | 982 |
References | 989 |
Resources | 1025 |
The Particle Swarm Algorithm | 1029 |
Particle Swarm Optimization of Multiple Optima | 1036 |
Dynamic Optimization Problems | 1043 |
Concluding Remarks | 1059 |
DNA Computing and its Application | 1065 |
Applications of DNA Computing | 1071 |
BioSoft Computing Based on DNA Length | 1077 |
Conclusion | 1084 |
Arrayed Recognition | 1105 |
Resources | 1117 |
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Common terms and phrases
agent-based modeling application approach Artificial Intelligence behavior Berlin bf-EVALP clause bf-relations Class classifiers cluster Cognitive complete lattice Computational Intelligence Computer Linguistics Computer Science computing nodes concepts Conceptual Graphs Conf corpus data point data set data space defeasible deontic defeasible reasoning defeasible rule defined Definition developed domain dynamic EcoLab economic embodied agents emotion environment EVALP clause EVALPSN Evolutionary example feature fuzzy rule-based fuzzy rules fuzzy sets genetic algorithms Grid Grid computing human IEEE Trans implemented input interaction interface Intl Java knowledge language latent points logic program Machine Learning mapping membership function method module Nakamatsu Neural Networks optimization paraconsistent parameters parsing Press problem Proc process Pr1 repair represented safety verification scheduling Semantic Web semantics shortest derivation simulation smartGRID Springer-Verlag structure subtrees Swarm synapse Systems tion tracker tree vector annotated