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Posted on by Tristan Barnett Posted in — 1 Comment ↓

Research Interests

Tristan Barnett focuses his research on machine learning in real-world environments. Of particular interest to him is the application of cognitive science to machine learning and distributed systems.

Research projects

Topics
  • Intelligent agents
  • Distributed systems architecture
  • Affective computing
  • Machine learning
  • Cognitive modelling

Publication list

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YearAuthorsPublicationType
2012Barnett, TristanA Distributed Affective Cognitive Architecture for Cooperative Multi-agent Learning Systems. Barnett, T. D. 2012. MSc Dissertation.
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Proposes the CAEDA Cognitive Architecture for enhancing cooperative learning in distributed environments such as multi-robot systems.
Keywords: Multi-agent, machine learning, cloud computing

Thesis
2010Barnett, Tristan and Ehlers, E. M. Cloud Computing for Synergized Emotional Model Evolution in Multi-Agent Learning Systems. Barnett, T. D. and Ehlers, E. M. 2010. Strojniškivestnik – Journal of Mechanical Engineering, vol. 56, no. 11, pp. 718– 727.
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Proposes MALDAC, a scalable approach to developing adaptable systems in complex, believable environments.
Keywords: Multi-agent systems, machine learning

Peer-reviewed Journal Publication
2010Barnett, Tristan and Ehlers, E. M. Cloud Computing for Synergized Emotional Model Evolution in Multi-agent Learning Systems. Barnett, T.D. and Ehlers, E.M. 2010. In Proceedings of the 8th International Symposium on Tools and Methods of Competitive Engineering, TMCE 2010, Ancona, Italy, April 18–22, 2010. pp. 841-854. Conference proceedings and podium presentation in Italy.Peer-reviewed Conference Proceedings

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