Paper Info
Title
The complementary roles of allostatic and contextual control systems in foraging tasks
Abstract
To survive in an unknown environment an animal has to learn how to reach specific goal states. The animal is firstly guided by its reactive behavior motivated by its internal needs. After exploring the environment, contextual information can be used to optimally fulfill these internal needs. However, how a reactive and a contextual control system complement each other is still a fundamental question. Here, we address this problem from the perspective of the Distributed Adaptive Control architecture (DAC). We extend DAC's reactive layer with an allostatic control system and integrate it with its contextual control layer. Through robot foraging tasks we test the properties of the allostatic and contextual cozntrol systems and their interaction. We assess how they scale with task complexity. In particular, we show that the behavior generated by the contextual control layer is of particular importance when the system is facing conflict situations.
Year
DOI
Venue
2010
10.1007/978-3-642-15193-4_35
SAB
Keywords
Field
DocType
complementary role,unknown environment,foraging task,internal need,contextual control layer,reactive behavior,contextual cozntrol system,particular importance,contextual control system,reactive layer,allostatic control system,contextual information,bio inspired robotics,cognitive architecture,control system,adaptive control,robot behavior
Architecture,Computer science,Artificial intelligence,Bio-inspired robotics,Behavior-based robotics,Control system,Adaptive control,Robot,Cognitive architecture,Foraging
Conference
Volume
ISSN
ISBN
6226
0302-9743
3-642-15192-2
Citations 
PageRank 
References 
1
0.41
7
Authors
3
Name
Order
Citations
PageRank
Encarni Marcos172.57
Martí Sánchez-Fibla24411.13
Paul F. M. J. Verschure3677116.64