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Microbial fuel cell...
Microbial fuel cell driven behavioural dynamics in robot simulations
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- Montebelli, Alberto (författare)
- Högskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,Cognition and Interaction Lab, University of Skövde, Skövde, Sweden
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- Lowe, Robert (författare)
- Högskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,Cognition and Interaction Lab.,Cognition & Interaction Lab, University of Skövde, Skövde, Sweden,
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- Ieropoulos, Ioannis (författare)
- Bristol Robotics Laboratory, University of Bristol and University of the West of England, UK,Bristol Robotics Lab, University of Bristol and University of the West of England, UK
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- Melhuish, Chris (författare)
- Bristol Robotics Laboratory, University of Bristol and University of the West of England, UK,Bristol Robotics Lab, University of Bristol and University of the West of England, UK
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- Greenman, John (författare)
- Microbiology Research Lab, University of the West of England, UK
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- Ziemke, Tom (författare)
- Högskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,Cognition and Interaction Lab.,Cognition & Interaction Lab, University of Skövde, Skövde, Sweden,
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(creator_code:org_t)
- Cambridge, Massachusetts : MIT Press, 2010
- 2010
- Engelska.
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Ingår i: Artificial Life XII. - Cambridge, Massachusetts : MIT Press. - 9780262290753 - 0262290758 ; , s. 749-756
- Relaterad länk:
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http://mitpress.mit....
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- With the present study we report the first application of a recently proposed model for realistic microbial fuel cells (MFCs) energy generation dynamics, suitable for robotic simulations with minimal and extremely limited computational overhead. A simulated agent was adapted in order to engage in a viable interaction with its environment. It achieved energy autonomy by maintaining viable levels of the critical variables of MFCs, namely cathodic hydration and anodic substrate biochemical energy. After unsupervised adaptation by genetic algorithm, these crucial variables modulate the behavioral dynamics expressed by viable robots in their interaction with the environment. The analysis of this physically rooted and self-organized dynamic action selection mechanism constitutes a novel practical contribution of this work. We also compare two different viable strategies, a self-organized continuous and a pulsed behavior, in order to foresee the possible cognitive implications of such biologicalmechatronics hybrid symbionts in a novel scenario of ecologically grounded energy and motivational autonomy.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Technology
- Teknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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