Agendas for multi-agent learning

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Agendas for multi-agent learning

Shoham et al. [1] identify several important agendas which can help direct research in multi-agent learning. We propose two additional agendas— called “modelling” and “design”—which cover the problems we need to consider before our agents can start learning. We then consider research goals for modelling, design, and learning, and identify the problem of finding learning algorithms that guarante...

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این پایان نامه به بررسی نقش مثبت یا منفی احساسات روی کارایی عامل های یادگیرنده در یک محیط multi-agent می پردازد. در این راستا مدلی برای عامل های یادگیرنده دارای احساس معرفی می شود. برای بررسی نقش احساسات، یک محیط فرضی multi-agent شبیه سازی شده و حالت های گوناگونی در آن نظر گرفته می شوند. در حالت نخست، کارایی عامل هایی بررسی می شود که دارای احساس نیستند و فقط قابلیت یادگیری دارند. در دومین حالت...

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ژورنال

عنوان ژورنال: Artificial Intelligence

سال: 2007

ISSN: 0004-3702

DOI: 10.1016/j.artint.2006.12.006