Advances in Artificial Life [electronic resource] :5th European Conference, ECAL’99 Lausanne, Switzerland, September 13–17, 1999 Proceedings /
Contributor(s): Floreano, Dario [editor.] | Nicoud, Jean-Daniel [editor.] | Mondada, Francesco [editor.] | SpringerLink (Online service).Material type: BookSeries: Lecture Notes in Computer Science: 1674Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1999.Description: XVIII, 742 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540483045.Subject(s): Computer science | Computers | Artificial intelligence | Bioinformatics | Computational biology | Robotics | Automation | Computer Science | Artificial Intelligence (incl. Robotics) | Robotics and Automation | Computer Appl. in Life Sciences | Computation by Abstract DevicesOnline resources: Click here to access online
Keynote Lectures -- Epistemology -- Evolutionary Dynamics -- Evolutionary Cybernetics -- Bio-inspired Robotics and Autonomous Agents -- Self-Replication, Self-Maintenance, and Gene Expression -- Societies and Collective Behaviour -- Communication and Language.
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.