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Advances in Artificial Life

5th European Conference, ECAL'99, Lausanne, Switzerland, September 13-17, 1999 Proceedings

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Dario Floreano

    1. Laboratory of Microprocessors and Interfaces (LAMI) Department of Computer Science, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland

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  2. Jean-Daniel Nicoud

    1. Laboratory of Microprocessors and Interfaces (LAMI) Department of Computer Science, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland

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  3. Francesco Mondada

    1. Laboratory of Microprocessors and Interfaces (LAMI) Department of Computer Science, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1674)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (96 papers)

  1. Front Matter

    Pages I-XVI
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  3. Epistemology

    1. Front Matter

      Pages 11-11
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    2. Testing for Emergence in Artificial Life

      • Edmund M. A. Ronald, Moshe Sipper, Mathieu S. Capcarrère
      Pages 13-20

    3. Are Romance Novels Really Alive? A Discussion of the Supple Adaptation View of Life

      • Paul Domjan
      Pages 21-25

  4. Evolutionary Dynamics

    1. Front Matter

      Pages 27-27
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    2. How Symbiosis Can Guide Evolution

      • Richard A. Watson, Jordan B. Pollack
      Pages 29-38

    3. Adaptability of Darwinian and Lamarckian Populations toward an Unknown New World

      • Yuka Yamamoto, Takahiro Sasaki, Mario Tokoro
      Pages 39-48

    4. Requirements for Immortal ALife to Exterminate Mortal ALife in One Finite, Heterogeneous Ecosystem

      • Tsutomu Oohashi, Tadao Maekawa, Osamu Ueno, Emi Nishina, None Kawai
      Pages 49-53

    5. Error Thresholds and Their Relation to Optimal Mutation Rates

      • Gabriela Ochoa, Inman Harvey, Hilary Buxton
      Pages 54-63

    6. Are Artificial Mutation Biases Unnatural?

      • Seth Bullock
      Pages 64-73

    7. Evolving Mutation Rates for the Self-Optimisation of Genetic Algorithms

      • Stevan Jay Anastasoff
      Pages 74-78

    8. Statistical Reasoning Strategies in the Pursuit and Evasion Domain

      • Sevan G. Ficici, Jordan B. Pollack
      Pages 79-88

    9. An Evolutionary Method Using Crossover in a Food Chain Simulation

      • Atsuko Mutoh, Satoru Oono, Kousuke Moriwaki, Tsuyoshi Nakamura, Nobuhiro Inuzuka, Hidenori Itoh
      Pages 89-93

    10. On Self-Reproduction and Evolvability

      • Tim Taylor
      Pages 94-103

    11. Some Techniques for the Measurement of Complexity in Tierra

      • Russell K. Standish
      Pages 104-108

    12. A Generic Neutral Model for Quantitative Comparison of Genotypic Evolutionary Activity

      • Andreas Rechtsteiner, Mark A. Bedau
      Pages 109-118
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Keywords

About this book

No matter what your perspective is, what your goals are, or how experienced you are, Artificial Life research is always a learning experience. The variety of phe­ nomena that the people who gathered in Lausanne reported and discussed for the fifth time since 1991 at the European Conference on Artificial Life (ECAL) has not been programmed, crafted, or assembled by analytic design. It has evolved, emerged, or appeared spontaneously from a process of artificial evolution, se- organisation, or development. Artificial Life is a field where biological and artificial sciences meet and blend together, where the dynamics of biological life are reproduced in the memory of computers, where machines evolve, behave, and communicate like living organ­ isms, where complex life-like entities are synthesised from electronic chromo­ somes and artificial chemistries. The impact of Artificial Life in science, phi­ losophy, and technology is tremendous. Over the years the synthetic approach has established itself as a powerful method for investigating several complex phenomena of life. From a philosophical standpoint, the notion of life and of in­ telligence is continuously reformulated in relation to the dynamics of the system under observation and to the embedding environment, no longer a privilege of carbon-based entities with brains and eyes. At the same time, the possibility of engineering machines and software with life-like properties such as evolvability, self-repair, and self-maintainance is gradually becoming reality, bringing new perspectives in engineering and applications.

Editors and Affiliations

  • Laboratory of Microprocessors and Interfaces (LAMI) Department of Computer Science, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland

    Dario Floreano, Jean-Daniel Nicoud, Francesco Mondada

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