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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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on these comparisons, you will create agent-based models (ABMs) that define interaction rules based on observed similarities and differences in events [4], with a focus on the specific role of individual differences
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and 8.3% year-end bonus; a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment external link laid down in the CAO
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bonus; a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment external link laid down in the CAO NU, Utrecht
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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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findings at meetings and/ or conferences. Lead the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on knowledge of principles
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history. It helps in the inference of the reward values by taking the observed history of policies as input. As the priorities are represented as utilities based on the multiple rewards [4].[5]; techniques
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reflections on the normative dimensions of the role of researchers engaged in innovation processes. RESINNREG candidates will learn how to act as change agents in processes of regional development through
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NUPI is a leading research institute on international politics and global governance. We conduct independent, cutting-edge research and communicate research-based knowledge to academics, policy