Alan D. Blair

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Pollack (1991) demonstrated that second-order recurrent neural networks can act as dynamical recognizers for formal languages when trained on positive and negative examples, and observed both phase transitions in learning and IFS-like fractal state sets. Follow-on work focused mainly on the extraction and minimization of a nite state automaton (FSA) from(More)
One of the persistent themes in Artificial Life research is the use of co-evolutionary arms races in the development of specific and complex behaviors. However, other than Sims’s work on artificial robots, most of the work has attacked very simple games of prisoners dilemma or predator and prey. Following Tesauro’s work on TD-Gammon, we used a 4000(More)
Recurrent neural network processing of regular language is reasonably well understood. Recent work has examined the less familiar question of context-free languages. Previous results regarding the language ab suggest that while it is possible for a small recurrent network to process context-free languages, learning them is difficult. This paper considers(More)
Recent years have seen a resurgence of interest in evolving plastic neural networks for online learning. These approaches have an intrinsic appeal – since, to date, the only working example of general intelligence is the human brain, which has developed through evolution, and exhibits a great capacity to adapt to unfamiliar environments. In this paper we(More)
In recent years it has been shown that first order recurrent neural networks trained by gradient-descent can learn not only regular but also simple context-free and context-sensitive languages. However, the success rate was generally low and severe instability issues were encountered. The present study examines the hypothesis that a combination of(More)
Traditional theories of child language acquisition center around the existence of a language acquisition device which is speciically tuned for learning a particular class of languages. More recent proposals suggest that language acquisition is assisted by the evolution of languages towards forms that are easily learnable. In this paper, we evolve(More)