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Titlebook: Coordination, Organizations, Institutions, and Norms in Agent Systems XII; COIN 2016 Internatio Stephen Cranefield,Samhar Mahmoud,Ana Paula

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樓主: Braggart
31#
發(fā)表于 2025-3-27 01:01:46 | 只看該作者
32#
發(fā)表于 2025-3-27 02:18:38 | 只看該作者
An Empirical Approach for Relating Environmental Patterns with Agent Team Compositions games and military missions. In these domains, the team is designed to confront an opponent team with technical and numerical equivalence, and aiming to conquer areas where there are scarce resources of high economic value, that are distributed in locations within a territory whose topology is unkn
33#
發(fā)表于 2025-3-27 05:59:08 | 只看該作者
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發(fā)表于 2025-3-27 10:16:04 | 只看該作者
The Role of Valuestheir individual interests, can slowdown or even block such processes. Recent research suggests that a focus on the values of the stakeholders could benefit those decision-making processes. However, the role of the values is not yet fully understood. To investigate the interaction between values, no
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發(fā)表于 2025-3-27 16:50:40 | 只看該作者
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發(fā)表于 2025-3-27 21:08:34 | 只看該作者
Coordination, Organizations, Institutions, and Norms in Agent Systems XIICOIN 2016 Internatio
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發(fā)表于 2025-3-27 23:16:04 | 只看該作者
Modelling Patient-Centric Healthcare Using Socially Intelligent Systems: The AVICENA Experiencepplied to information technologies for supporting treatment adherence. We explore how concepts of socially intelligent systems, including social practices and social identities, can be applied to AVICENA, an ongoing project to create a platform for assisting patients in several daily tasks related t
38#
發(fā)表于 2025-3-28 05:03:35 | 只看該作者
39#
發(fā)表于 2025-3-28 06:19:27 | 只看該作者
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發(fā)表于 2025-3-28 12:12:50 | 只看該作者
An Empirical Approach for Relating Environmental Patterns with Agent Team Compositionsthat include both domain-specific and topological characteristics. In this work, we present an experimental evaluation of these patterns’ influence on the performance of teams of agents evolving on the Agents on Mars scenario, a well-known agent programming testbed. The results of the evaluation sho
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