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May We Have Your Attention: Analysis of a Selective Attention Task

Goldenberg, Eldan and Garcowski, Jacob R and Beer, Randall D (2004) May We Have Your Attention: Analysis of a Selective Attention Task. [Conference Paper]

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Abstract

In this paper we present a deeper analysis than has previously been carried out of a selective attention problem, and the evolution of continuous-time recurrent neural networks to solve it. We show that the task has a rich structure, and agents must solve a variety of subproblems to perform well. We consider the relationship between the complexity of an agent and the ease with which it can evolve behavior that generalizes well across subproblems, and demonstrate a shaping protocol that improves generalization.

Item Type:Conference Paper
Subjects:Computer Science > Dynamical Systems
Computer Science > Artificial Intelligence
ID Code:4950
Deposited By: Goldenberg, Eldan
Deposited On:01 Jul 2006
Last Modified:11 Mar 2011 08:56

References in Article

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