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pro vyhledávání: '"Durfee, Edmund"'
Multiagent systems can use commitments as the core of a general coordination infrastructure, supporting both cooperative and non-cooperative interactions. Agents whose objectives are aligned, and where one agent can help another achieve greater rewar
Externí odkaz:
http://arxiv.org/abs/2012.07195
Publikováno v:
In Artificial Intelligence April 2023 317
In cooperative multiagent planning, it can often be beneficial for an agent to make commitments about aspects of its behavior to others, allowing them in turn to plan their own behaviors without taking the agent's detailed behavior into account. Exte
Externí odkaz:
http://arxiv.org/abs/1703.04587
Publikováno v:
In Artificial Intelligence February 2020 279
Autor:
Wu, Jianhui, Durfee, Edmund H.
Publikováno v:
Journal Of Artificial Intelligence Research, Volume 38, pages 415-473, 2010
Because an agents resources dictate what actions it can possibly take, it should plan which resources it holds over time carefully, considering its inherent limitations (such as power or payload restrictions), the competing needs of other agents for
Externí odkaz:
http://arxiv.org/abs/1401.3845
To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this information must be acquired indirectly via plan recognition. Typical approaches
Externí odkaz:
http://arxiv.org/abs/1302.6821
Approximate models of world state transitions are necessary when building plans for complex systems operating in dynamic environments. External event probabilities can depend on state feature values as well as time spent in that particular state. We
Externí odkaz:
http://arxiv.org/abs/1302.3554
Autor:
Vidal, Jose M., Durfee, Edmund H.
Publikováno v:
Autonomous Agents and Multi-Agent Systems Journal, January 2003
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the progression of an agent's error in its decision function, thereby telli
Externí odkaz:
http://arxiv.org/abs/cs/0001008