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The Indiana Experiment: Investigating the Role of Anticipation and Attention in a Dynamic Environment

Johansson, Birger LU and Balkenius, Christian LU (2010) International Conference on Simulation of Adaptive Behavior, 2010 In SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats 6226/2010. p.242-251
Abstract
We investigating the role of anticipation and attention in a dynamic environment in a number of large scale simulations of an agent that tries to negotiate a number of gates that continuously open and close. In particular we have looked at learning mechanisms that can predict the future positions of the gates and control strategies that will allow the agent to pass through the gates unharmed. The simulations reported below use the AARC architecture [1]. This architecture combines a large number of different cognitive mechanisms. In Experiment 1, the task for the agent is to pass through a single gate and in Experiment 2, to pass through three successive gates. The results shows that the AARC architecture is flexible enough to handle very... (More)
We investigating the role of anticipation and attention in a dynamic environment in a number of large scale simulations of an agent that tries to negotiate a number of gates that continuously open and close. In particular we have looked at learning mechanisms that can predict the future positions of the gates and control strategies that will allow the agent to pass through the gates unharmed. The simulations reported below use the AARC architecture [1]. This architecture combines a large number of different cognitive mechanisms. In Experiment 1, the task for the agent is to pass through a single gate and in Experiment 2, to pass through three successive gates. The results shows that the AARC architecture is flexible enough to handle very diverse situations. It is also somewhat surprising that linear predictors are sufficient in most cases. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Anticipation
in
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
volume
6226/2010
pages
10 pages
publisher
Springer
conference name
International Conference on Simulation of Adaptive Behavior, 2010
external identifiers
  • scopus:78249238855
ISBN
978-3-642-15192-7
DOI
10.1007/978-3-642-15193-4_23
language
English
LU publication?
yes
id
9369a083-9ab9-4a57-8d64-9dd713208d74 (old id 1652575)
date added to LUP
2010-08-23 10:02:09
date last changed
2017-01-01 08:04:01
@inproceedings{9369a083-9ab9-4a57-8d64-9dd713208d74,
  abstract     = {We investigating the role of anticipation and attention in a dynamic environment in a number of large scale simulations of an agent that tries to negotiate a number of gates that continuously open and close. In particular we have looked at learning mechanisms that can predict the future positions of the gates and control strategies that will allow the agent to pass through the gates unharmed. The simulations reported below use the AARC architecture [1]. This architecture combines a large number of different cognitive mechanisms. In Experiment 1, the task for the agent is to pass through a single gate and in Experiment 2, to pass through three successive gates. The results shows that the AARC architecture is flexible enough to handle very diverse situations. It is also somewhat surprising that linear predictors are sufficient in most cases.},
  author       = {Johansson, Birger and Balkenius, Christian},
  booktitle    = {SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats},
  isbn         = {978-3-642-15192-7},
  keyword      = {Anticipation},
  language     = {eng},
  pages        = {242--251},
  publisher    = {Springer},
  title        = {The Indiana Experiment: Investigating the Role of Anticipation and Attention in a Dynamic Environment},
  url          = {http://dx.doi.org/10.1007/978-3-642-15193-4_23},
  volume       = {6226/2010},
  year         = {2010},
}