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This volume contains papers presented at the BCEC97 conference, held in Skövde, Sweden, in September 1997. The conference brought together researchers from biology and computer science to discuss the use of computational techniques in biology, as well as the use of biological metaphors in computing. Examples of the work presented in these papers include computer simulations of embryogenesis; algorithms for protein folding prediction; problem solving using DNA computation; neural-network learning in retina implants; and optimisation algorithms inspired by natural evolution.
Sample Chapter(s)
The Advantages of Evolutionary Computation (469 KB)
Contents:
- The Advantages of Evolutionary Computation (D B Fogel)
- Introns in Nature and in Simulated Structure Evolution (P Nordin et al.)
- Symbiosis of Spontaneous Hypercycles through Self-Compartmentation (S Yoshii & Y Kakazu)
- Adaptation of Evolutionary Agents in Computational Ecologies (P Devine et al.)
- Learning from Evolution to Predict Protein Structure (B Rost)
- Pseudodihedral Potential of Protein Residues and the Prediction of Folding (P Fariselli & R Casadio)
- Comparative Analysis of Different Methods for the Detection of Specificity Regions in Protein Families (F Pazos et al.)
- The Complexity and Viability of DNA Computations (M Amos et al.)
- Stepwise Generation of Hamiltonian Path with Molecules (N Morimoto et al.)
- Models of Classical and Quantum Computation in Microtubules: Implications for Consciousness (S Hameroff)
- and other papers
Readership: Researchers in biocomputing/bioinformatics, artificial intelligence, neural networks and artificial life.
