Cogprints

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]

Full text available as:

[img]
Preview
PDF
425Kb

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

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

Beer, R.D. (1996). Toward the evolution of dynamical neural networks for minimally cognitive behavior. In P. Maes, M. Mataric, J. Meyer, J. Pollack and S. Wilson (eds.), From animals to animats 4: Proceedings of the Fourth International Conference on Simulation of Adative Behavior (pp. 421-429). MIT Press.

Beer, R.D. (in press). The dynamics of active categorical perception in an evolved model agent. To appear in Adaptive Behavior.

Clark, A. (1997). Being There: Putting Brain, Body, and World Together Again. MIT Press.

Dorigo, M. and Colombetti, M. (1994). Robot Shaping: Developing Situated Agents through Learning. Artificial Intelligence 70(2):321-370.

Downey, D.C. (2000). An Evolution of Minimally Cognitive Behavior: Short-term memory and selective attention.. M.S. Thesis. EECS Department, Case Western Reserve University.

Harvey, I. (2000) Robotics: Philosophy of Mind using a Screwdriver. In T. Gomi (ed.) Evolutionary Robotics: From Intelligent Robots to Artificial Life, Vol. III (pp. 207-230). AAI Books.

Miller, G.E. (1994) Artificial life as theoretical biology: how to do real science with computer simulation. Cognitive Science Research Paper 378. School of Cognitive and Computing Sciences, University of Sussex.

Mitchell, M. (1996). An Introduction to Genetic Algorithms. MIT Press.

Saksida, L.M., Raymond, S.M. and Touretzky, D.S. (1997). Shaping robot behavior using principles from instrumental conditioning. Robotics and Autonomous Systems 22(3-4):231-249.

Slocum, A.C., Downey, D.C. and Beer, R.D. (2000). Further experiments in the evolution of minimally cognitive behavior: From perceiving affordances to selective attention. In J. Meyer, A. Berthoz, D. Floreano,

H. Roitblat and S. Wilson (eds.), From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior (pp. 430- 439). MIT Press.

Metadata

Repository Staff Only: item control page