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

Summary, in English

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: Birger Johansson; Christian Balkenius
• Department/s: Cognitive Science; Functional zoology
• Publishing year: 2010
• Language: English
• Pages: 242-251
• Publication/Series: SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
• Volume: 6226/2010
• Links: http://dx.doi.org/10.1007/978-3-642-15193-4_23
• Document type: Conference paper
• Publisher: Springer
• Topic: Computer Vision and Robotics (Autonomous Systems)
• Keywords: Anticipation
• Conference name: International Conference on Simulation of Adaptive Behavior, 2010
• Conference date: 2010-08-25 - 2010-08-27
• Conference place: Paris, France
• Status: Published
• Project: Ikaros: An infrastructure for system level modelling of the brain
• Research group: Lund University Cognitive Science (LUCS)
• ISBN/ISSN/Other: ISBN: 978-3-642-15192-7