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

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Vision and Robotics (Autonomous Systems)

Keywords

  • Anticipation
Original languageEnglish
Title of host publicationSAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
PublisherSpringer
Pages242-251
Number of pages10
Volume6226/2010
ISBN (Print)978-3-642-15192-7
StatePublished - 2010
Publication categoryResearch
Peer-reviewedYes
EventInternational Conference on Simulation of Adaptive Behavior, 2010 - Paris, France
Duration: 2010 Aug 252010 Aug 27
Conference number: 11

Publication series

Name
Volume6226/2010

Conference

ConferenceInternational Conference on Simulation of Adaptive Behavior, 2010
Abbreviated titleSAB 2010
CountryFrance
CityParis
Period2010/08/252010/08/27

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