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dc.contributor.authorBlanchard, A.
dc.contributor.authorCañamero, Lola
dc.date.accessioned2013-02-05T10:30:18Z
dc.date.available2013-02-05T10:30:18Z
dc.date.issued2006
dc.identifier.citationBlanchard , A & Cañamero , L 2006 , Developing Affect-Modulated Behaviors : Stability, Exploration, Exploitation or Imitation . in Procs 6th Int Workshop on Epigenetic Robotics . Lund University Cognitive Studies , vol. 128 , Lund University , pp. 17-24 .
dc.identifier.otherPURE: 1481142
dc.identifier.otherPURE UUID: b1237da9-ef3e-4339-b71b-d365f0e09fb2
dc.identifier.otherdspace: 2299/2059
dc.identifier.urihttp://hdl.handle.net/2299/9892
dc.description.abstractExploring the environment is essential for autonomous agents to learn new things and to consolidate past experiences and apply them to improve behavior. However, exploration is also risky as it exposes the agent to unknown, potentially overwhelming or dangerous situations. A trade-off must hence exist between activities such as seeking stability, autonomous exploration of the environment, imitation of novel actions performed by another agens, and taking advantage of opportunities offered by new situations and events. In this paper, we present a Perception-Action robotic architecture that achieves this tradeoff on the grounds of modulatory mechanisms based on notions of “well-being” and “affect”. We have implemented and tested this architecture using a Koala robot, and we present and discuss behavior of the robot in different contextsen
dc.language.isoeng
dc.publisherLund University
dc.relation.ispartofProcs 6th Int Workshop on Epigenetic Robotics
dc.relation.ispartofseriesLund University Cognitive Studies
dc.titleDeveloping Affect-Modulated Behaviors : Stability, Exploration, Exploitation or Imitationen
dc.contributor.institutionSchool of Computer Science
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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