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include: How can an agent learn to cooperate when it does not know who it will encounter? Which forms of reputation, punishment or social norms sustain cooperation? Do artificial agents respond to
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include: How can an agent learn to cooperate when it does not know who it will encounter? Which forms of reputation, punishment or social norms sustain cooperation? Do artificial agents respond to
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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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Primary supervisor Mor Vered Co-supervisors Alexey Ignatiev Sarath Sreedharan Research area Data Science and Artificial Intelligence Creating efficient and beneficial user agent interaction is a
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Primary supervisor Mor Vered Co-supervisors Alexey Ignatiev Sarath Sreedharan Research area Data Science and Artificial Intelligence Creating efficient and beneficial user agent interaction is a
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] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference on Electronic Commerce.” Accessed September 10, 2021. https://dl-acm
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] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference on Electronic Commerce.” Accessed September 10, 2021. https://dl-acm
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currently observed, an intelligent agent can use an internal model of the world to represent its surroundings, anticipate what may happen next, and reason about the consequences of possible actions
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evaluation. Measure human-AI collaboration efficiency. Investigate Trust and Explainability Explore how developers interact with autonomous AI coders. Build explainability modules to visualize agent
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evaluation. Measure human-AI collaboration efficiency. Investigate Trust and Explainability Explore how developers interact with autonomous AI coders. Build explainability modules to visualize agent