Computational Intelligence: A CompendiumComputational 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
An Introduction | 3 |
567 | 21 |
8 | 31 |
9 | 39 |
Hybrid Methods | 42 |
References | 50 |
Resources | 66 |
3 | 73 |
AgentBased Economic Simulations with CI | 549 |
4 | 583 |
6 | 594 |
3 | 603 |
An Application of the Perception Mechanism | 627 |
Conclusions | 634 |
Discussion Groups Forums | 638 |
Evolutionary Multiobjective Design | 640 |
Open Source Software | 77 |
Key Books | 107 |
The Generative Topographic Mapping | 121 |
5 | 126 |
6 | 132 |
Harmonic Averages | 140 |
References | 147 |
Key International ConferencesWorkshops | 152 |
1 | 154 |
Negotiation Between Agents | 159 |
Selfishware and Internet Being | 173 |
2 | 179 |
Research Groups | 180 |
6 | 181 |
Applications of DNA Computing | 188 |
Evaluating Affective Embodied Agents | 206 |
Summary | 216 |
Preprocessing Visualization Systems Integration | 222 |
Resources 225 | 224 |
The Paraconsistent Annotated Logic Program EVALPSN | 233 |
7 | 256 |
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 |
Computing Thest | 329 |
Conclusion | 336 |
8 | 342 |
Resources | 343 |
GraphBased Representation and Reasoning | 350 |
3 | 358 |
6 | 367 |
9 | 372 |
References | 374 |
Related Work | 388 |
5 | 400 |
References | 403 |
Resources | 405 |
Key International ConferencesWorkshops | 406 |
Introduction | 408 |
Performance Comparisons | 428 |
Resources | 435 |
Grid Computing in Open Environments | 446 |
A PeertoPeer Solution to Grid Computing | 462 |
2 | 463 |
References | 477 |
Key SurveyReview Articles | 481 |
Decentralized MultiAgent Clustering in Scalefree | 485 |
Dynamic Cluster Formation Algorithm | 490 |
Experimental Results | 496 |
Conclusions | 502 |
Predictor K2 511 | 510 |
3 | 513 |
Artificial Neural Networks | 519 |
Evolutionary Computation | 536 |
Evolutionary Multiobjective Optimization EMO | 655 |
Two Approaches to Evolutionary Multiobjective Design | 661 |
Future Research Directions | 673 |
Resources | 681 |
Conferences | 682 |
Related Work | 691 |
Data Mining Strategy for Bandwidth Prediction | 697 |
Conclusions | 704 |
Resources | 713 |
Key International ConferencesWorkshops | 714 |
Theories | 726 |
Applications and Case Studies | 743 |
6 | 753 |
Resources | 761 |
Neural Computation | 769 |
LargeScale Projects | 783 |
References | 790 |
An Evolved Neural Net Module | 797 |
The Evolution of Neural Network Modules | 804 |
5 | 808 |
9 | 834 |
Resources | 841 |
4 | 860 |
6 | 869 |
Resources | 877 |
4 | 884 |
5 | 891 |
1 | 904 |
Results on Literature Benchmarks | 911 |
1 | 923 |
3 | 930 |
4 | 950 |
7 | 958 |
The Semantic | 964 |
5 | 966 |
2 | 972 |
7 | 981 |
Conclusions | 987 |
4 | 1022 |
Resources | 1025 |
The Particle Swarm Algorithm | 1029 |
4 | 1036 |
6 | 1042 |
78 | 1048 |
Concluding Remarks | 1059 |
DNA Computing | 1081 |
Resources | 1087 |
4 | 1096 |
ст | 1110 |
Resources | 1117 |
4 | 1119 |
| 1122 | |
| 1128 | |
| 1135 | |
| 1142 | |
| 1160 | |
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Common terms and phrases
adaptive agent-based modeling agents ANNs applications approach architecture artificial brain Artificial Intelligence Artificial Neural Artificial Neural Networks behavior Berlin Class classification cluster Computational Intelligence Computer Science concept Conceptual Graphs Conf crossover data set defeasible defined derivation dynamic economic embodied agents emotion Engineering ensemble EVALPSN evolution evolutionary algorithms Evolutionary Computation evolve example feature FPGA fuzzy rule-based fuzzy rules fuzzy sets Genetic Algorithms genetic programming graph coloring Grid heuristics IEEE Trans implementation individual input interaction Intl language latent points linear logic program Machine Learning membership function method modules multiobjective mutation Neural Networks neurons nodes ontology operations optimization output parameters pattern recognition performance population Press problem Proc represented safety verification Sect selection self-organizing self-organizing map semantics signal simulation solutions Springer-Verlag structure subtrees techniques theory tion tree vector annotated