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Titlebook: Agents and Artificial Intelligence; 6th International Co Béatrice Duval,Jaap van den Herik,Joaquim Filipe Conference proceedings 2015 Sprin

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41#
發(fā)表于 2025-3-28 17:46:18 | 只看該作者
42#
發(fā)表于 2025-3-28 21:19:29 | 只看該作者
Agent-Based Simulation of Interconnected Wholesale Electricity Markets: An Application to the Germanrrelated markets with its main players and considering detailed data, agent-based models have already provided valuable insights in related research questions, e.g. about adequate regulatory frameworks. In this paper, an agent-based model with an application to the German and French market area is p
43#
發(fā)表于 2025-3-28 23:11:17 | 只看該作者
Cooperative Transportation Using Pheromone Agentscommunication networks, and the controlling algorithm is based on the pheromone communication of social insects such as ants. Unlike traditional pheromone based cooperative transportation, we have implemented the pheromone as mobile software agents that control the mobile robots corresponding to the
44#
發(fā)表于 2025-3-29 03:24:03 | 只看該作者
Design and Simulation of a Low-Resource Processing Platform for Mobile Multi-agent Systems in Districe nodes is presented, providing a unique distributed programming model and enhanced robustness of the entire heterogeneous environment in the presence of node, sensor, link, data processing, and communication failures. In this work multi-agent systems with mobile activity-based agents are used for
45#
發(fā)表于 2025-3-29 07:20:50 | 只看該作者
Behavior Clustering and Explicitation for the Study of Agents’ Credibility: Application to a Virtualn a quantitative data collection from both humans and agents simulation logs during an experiment. These data allow us to semi-automatically extract behavior clusters. In order to obtain explicit information about the behaviors, we analyze questionnaires filled by the users and annotations filled by
46#
發(fā)表于 2025-3-29 13:06:41 | 只看該作者
47#
發(fā)表于 2025-3-29 19:06:30 | 只看該作者
Statistical Response Method and Learning Data Acquisition using Gamified Crowdsourcing for a Non-tasthod. The method prepares candidate utterances in advance. From the data, it learns which utterances are suitable for context. Therefore, a dialogue agent constructed using our method automatically selects a suitable utterance depending on a context from candidate utterances. This paper also propose
48#
發(fā)表于 2025-3-29 22:15:54 | 只看該作者
49#
發(fā)表于 2025-3-30 03:15:02 | 只看該作者
50#
發(fā)表于 2025-3-30 04:07:02 | 只看該作者
New Techniques for Checking Dynamic Controllability of Simple Temporal Networks with Uncertaintytain—but bounded—durations. The most important property of an STNU is whether it is dynamically controllable (DC)—that is, whether there exists a strategy for executing its time-points such that all constraints will necessarily be satisfied no matter how the uncertain durations turn out. Algorithms
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