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subareas include, but are not limited to: procedural content generation, intelligent non-player characters and agents, adaptive and personalized gameplay, narrative in games, AI for content and/or design
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identification elements)*; Experience in developing multi-agents with LLM. * mandatory requirement Work plan: The candidate will carry out R&D activities within the scope of the operation A-MoVeR - Agenda
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qualification (usually PhD). Research area: Systems of interacting particles are ubiquitous in natural and social sciences. Typically, they comprise many agents that, through intra-specific and inter-specific
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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four (4) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with
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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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contrast, analysis of systemic risks embraces complex interactions among elements/agents, adjusting expectations, mechanisms of contagion dynamics, feedbacks, and non-linear tipping. The SPHINX research
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severity assessments. Designing and conducting experiments to simulate various ship fault conditions, implementing sensing for data collection, and developing an equipment health monitoring system. Carry out
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educational methods, including simulation. Serves as a nurse planner for ANCC Accredited Provider Unit. Supports unit leadership with the coordination and evaluation of unit-based orientation for new employees
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or more Departments they wish to apply to. Applicants should submit a cover letter, curriculum vitae, statements outlining plans for teaching, research, and contributing to Penn State values (https