Artificial life: a constructive lower bound for artificial intelligence

Artificial life refers to computational investigations of questions involving the nature of life and its evolution; it is considered as a lower bound on artificial intelligence, as embodied in the statement that 'the dumbest smart thing you can do is stay alive'. The centrality of evolution to artificial life and the algorithmic approach to evolutionary modeling are examined. Approaches to modeling the environment are discussed and the relationship between artificial life and computation is explored.<<ETX>>

[1]  W. Walter.  A Machine that Learns , 1951 .

[2]  James Gleick.  Chaos: Making a New Science , 1987 .

[3]  Donald A. Norman,et al.  Cognitive artifacts , 1991 .

[4]  Chris Langton,et al.  Artificial Life , 2017, Encyclopedia of Machine Learning and Data Mining.

[5]  Otto E. Rössler,et al.  Chemical Automata in Homogeneous and Reaction-Diffusion Kinetics , 1974 .

[6]  F. J. Odling-Smee.  Niche-constructing phenotypes. , 1988 .

[7]  P. Klopfer,et al.  The Foundations of Ethology , 1981 .

[8]  M. Rizki,et al.  Computing the theory of evolution , 1986 .

[9]  W. Walter.  An Imitation of Life , 1950 .

[10]  Lucy Suchman.  Plans and situated actions: the problem of human-machine communication , 1987 .

[11]  V. Braitenberg.  Vehicles, Experiments in Synthetic Psychology , 1984 .

[12]  Richard K. Belew,et al.  Evolution, Learning, and Culture: Computational Metaphors for Adaptive Algorithms , 1990, Complex Syst..

[13]  G. Hoyle.  The scope of neuroethology , 1984, Behavioral and Brain Sciences.

[14]  Herbert A. Simon,et al.  WHY SHOULD MACHINES LEARN , 1983 .

[15]  J. M. T. Thompson,et al.  An introduction to nonlinear dynamics , 1984 .

[16]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[17]  Bernard P. Zeigler,et al.  Multifacetted Modelling and Discrete Event Simulation , 1984 .

[18]  W. Wood.  The Nematode Caenorhabditis elegans , 1988 .

[19]  R. N. Curnow,et al.  Evolution and the Genetics of Populations, Volume 4: Variability Within and Among Natural Populations , 1978 .

[20]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[21]  R. Dawkins.  The Blind Watchmaker , 1986 .

[22]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[23]  Lawrence J. Fogel,et al.  Artificial Intelligence through Simulated Evolution , 1966 .

[24]  Herbert A. Simon,et al.  Cognitive Science: The Newest Science of the Artificial , 1980, Cogn. Sci..