Results 21 to 30 of about 33,002 (99)
Practical applications of multi-agent systems in electric power systems [PDF]
, 2012 The transformation of energy networks from passive to active systems requires the embedding of intelligence within the network. One suitable approach to integrating distributed intelligent systems is multi-agent systems technology, where components of ...
Ai +42 more
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A middleware for creating physical mashups of things [PDF]
, 2017 Indexación: Scopus.Nowadays, “things” deployed in cities are crucial to gather data to support decision making systems. Unfortunately, there is a low level of reuse of “things” between smart city applications of different organizations because “things ...
Herrera, H., Torres, R.
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Nonlinear analysis of dynamical complex networks [PDF]
, 2013 Copyright © 2013 Zidong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited ...
Dong, H, Hu, J, Shen, B, Wang, Z
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, 2011 The goal of this research is to develop agents that are adaptive and predictable and timely. At first blush, these three requirements seem contradictory.
Gordon, D. F.
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Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
, 2019 Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI. One of the most promising paths towards this vision is multi-agent learning, where agents act as the environment for each other, and improving ...
Aryan, Abi +8 more
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AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents [PDF]
, 2003 A satisfactory multiagent learning algorithm should, {\em at a minimum}, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play.
Conitzer, Vincent, Sandholm, Tuomas
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Human-Agent Decision-making: Combining Theory and Practice
, 2016 Extensive work has been conducted both in game theory and logic to model strategic interaction. An important question is whether we can use these theories to design agents for interacting with people?
Kraus, Sarit
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Different goals in multiscale simulations and how to reach them [PDF]
, 2009 In this paper we sum up our works on multiscale programs, mainly simulations. We first start with describing what multiscaling is about, how it helps perceiving signal from a background noise in a ?ow of data for example, for a direct perception by a ...
Bertelle, Cyrille +2 more
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Coupled Replicator Equations for the Dynamics of Learning in Multiagent Systems
, 2002 Starting with a group of reinforcement-learning agents we derive coupled replicator equations that describe the dynamics of collective learning in multiagent systems.
B. Kerr +15 more
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Anonymity and Information Hiding in Multiagent Systems [PDF]
, 2003 We provide a framework for reasoning about information-hiding requirements in multiagent systems and for reasoning about anonymity in particular. Our framework employs the modal logic of knowledge within the context of the runs and systems framework ...
Halpern, Joseph Y., O'Neill, Kevin R.
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