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dc.contributor.authorPacella, Den
dc.contributor.authorGigliotta, Oen
dc.contributor.authorMiglino, Oen
dc.date.accessioned2018-01-10T02:24:21Z
dc.date.available2018-01-10T02:24:21Z
dc.date.issued2014-01-01en
dc.identifier.isbn9783319127446en
dc.identifier.issn1865-0929en
dc.identifier.urihttp://hdl.handle.net/10026.1/10535
dc.description.abstract

© Springer International Publishing Switzerland 2014. We propose a method to investigate the adaptive and evolutionary function of emotions and affective states, in our case of ancestral fear - using Artificial Life and Evolutionary Robotics techniques. For this purpose, we developed a hybrid software-hardware capable to train artificial neuroagents equipped with a sensory-motor apparatus inspired on the iCub humanoid robot features. We trained populations of these agents throughout a genetic algorithm to perform a well-known neuropsychological task adapted to study emotional phenomena. The robots learnt to discriminate stressful emotional conditions (coping with “dangerous” stimuli) and no-stress conditions. Varying the network structures, the experimental conditions and comparing the outcomes we were able to delineate a very initial snapshot of behavioral and neural prerequisite for emotional-based actions. On the other hand, we have to stress that the main contribution we brought is setting-up a methodology to support future studies on emotions in natural and artificial agents.

en
dc.format.extent47 - 57en
dc.language.isoenen
dc.titleStudying the Evolutionary Basis of Emotions Through Adaptive Neuroagents: Preliminary Settings and Resultsen
dc.typeConference Contribution
plymouth.volume445en
plymouth.publication-statusPublisheden
plymouth.journalCommunications in Computer and Information Scienceen
dc.identifier.doi10.1007/978-3-319-12745-3_5en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/00 Groups by role
plymouth.organisational-group/Plymouth/00 Groups by role/Academics
plymouth.organisational-group/Plymouth/00 Groups by role/Post-Graduate Research Students
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Computing, Electronics and Mathematics
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.1007/978-3-319-12745-3_5en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.typeConference Paper/Proceeding/Abstracten


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