Neural Networks in an Artificial Life Perspective

In the last few years several researchers within the Artificial Life and Mobile Robotics community used Artificial Neural Networks. Explicitly viewing Neural Networks in an Artificial Life perspective has a number of consequences that make research on what we will call Artificial Life Neural Networks (ALNNs) rather different from traditional connectionist research. The aim of the paper is to make the differences between ALNNs and “classical” neural networks explicit.

[1]  John Maynard Smith,et al.  When learning guides evolution , 1987, Nature.

[2]  C. Gallistel The organization of learning , 1990 .

[3]  Stefano Nolfi,et al.  Learning to Adapt to Changing Environments in Evolving Neural Networks , 1996, Adapt. Behav..

[4]  Stefano Nolfi,et al.  Evolving non-trivial behaviors on real robots: A garbage collecting robot , 1997, Robotics Auton. Syst..

[5]  John Hallam,et al.  A hybrid GP/GA approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[6]  Daniel J. Amit,et al.  Modeling brain function: the world of attractor neural networks, 1st Edition , 1989 .

[7]  Geoffrey E. Hinton,et al.  How Learning Can Guide Evolution , 1996, Complex Syst..

[8]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[9]  Stefano Nolfi,et al.  Auto-teaching: networks that develop their own teaching input , 1993 .

[10]  Stevan Harnad,et al.  Symbol grounding problem , 1990, Scholarpedia.

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

[12]  Frédéric Gruau,et al.  Automatic Definition of Modular Neural Networks , 1994, Adapt. Behav..

[13]  永福 智志 The Organization of Learning , 2005, Journal of Cognitive Neuroscience.

[14]  Stefano Nolfi,et al.  Econets: Neural networks that learn in an environment , 1990 .

[15]  Rodney A. Brooks,et al.  Artificial Life and Real Robots , 1992 .

[16]  David H. Ackley,et al.  Interactions between learning and evolution , 1991 .

[17]  Stefano Nolfi,et al.  Self-selection of Input Stimuli for Improving Performance , 1993 .