In Connectionist Models: Proceedings of the 1990 Summer School Workshop. Morgan Kaufmann (1992)
|Abstract||This paper explores how an evolutionary process can produce systems that learn. A general framework for the evolution of learning is outlined, and is applied to the task of evolving mechanisms suitable for supervised learning in single-layer neural networks. Dynamic properties of a network’s information-processing capacity are encoded genetically, and these properties are subjected to selective pressure based on their success in producing adaptive behavior in diverse environments. As a result of selection and genetic recombination, various successful learning mechanisms evolve, including the well-known delta rule. The effect of environmental diversity on the evolution of learning is investigated, and the role of different kinds of emergent phenomena in genetic and connectionist systems is discussed.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Nicholas Shea (2012). Inherited Representations Are Read in Development. British Journal for the Philosophy of Science 64 (1):1-31.
Hal Whitehead, The Evolution of Conformist Social Learning Can Cause Population Collapse in Realistically Variable Environments.
Nello Cristianini (1995). Evolution and Learning: An Epistemological Perspective. [REVIEW] Axiomathes 6 (3):429-437.
Andy Clark (1994). Representational Trajectories in Connectionist Learning. Minds and Machines 4 (3):317-32.
Axel Cleeremans (1993). Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing. MIT Press.
Robert Pennock, Learning Evolution and the Nature of Science Using Evolutionary Computing and Artificial Life.
Marion Blute (2001). A Single-Process Learning Theory. Behavioral and Brain Sciences 24 (3):529-531.
Robert Gerlai (1997). A Causal Relationship Between LTP and Learning? Has the Question Been Answered by Genetic Approaches? Behavioral and Brain Sciences 20 (4):617-618.
Added to index2009-01-28
Total downloads51 ( #24,340 of 722,698 )
Recent downloads (6 months)1 ( #60,006 of 722,698 )
How can I increase my downloads?