منابع مشابه
مدلسازی احساسات در سیستمهای multi-agent یادگیرنده
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...
15 صفحه اولIssues in Rational Planning in Multi-Agent Settings
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the formalism of partially observable Markov decision processes and generalize it to include the presence of other agents. Under common assumptions, beliefstate MDP can be defined using agents’ beliefs that include the ag...
متن کاملA Framework for Sequential Planning in Multi-Agent Settings
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state space. Agents maintain beliefs over physical states of the environment and over models of other agents, and they use Bayesian update to maintain their beliefs over time. The solutions map belief states to actions. Models o...
متن کاملInteraction settings for measuring (social) intelligence in multi-agent systems
In this paper we discuss several possibilities for an interaction setting used to evaluate (social) intelligence in multi-agent systems. The setting is based on a simple Reinforcement Learning scenario based on agents and cells, where agents compete or co-operate for rewards. We study the configurations where dynamics is not spoilt in the limit by equilibria, deadlocks or other inadequate prope...
متن کاملDiscovering Strategic Behaviour of Multi-Agent Systems in Adversary Settings
Can specific behaviour strategies be induced from low-level observations of two adversary groups of agents with limited domain knowledge? This paper presents a domain-independent Multi-Agent Strategy Discovering Algorithm (MASDA), which discovers strategic behaviour patterns of a group of agents under the described conditions. The algorithm represents the observed multi-agent activity as a grap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.3301525