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practical questions about collective action: whether communities manage shared resources, whether autonomous systems coordinate safely, and whether agents trained separately can work together when they meet
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Remuneration: $37,145 (tax-free RTP stipend) For scholarship procedures and conditions, please see: https://www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures
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autonomous AI coders. Build explainability modules to visualize agent reasoning and decisions. 🧪 Expected Outcomes Prototype of an agentic code generation framework capable of self-directed code improvement
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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crunching to make decisions automatically and to let humans make informed decisions, too. Across FIT, we have at least one dozen academics working in the greater space of "energy" (optimisation, modelling