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Titlebook: Computational Intelligence; Collaboration, Fusio Christine L. Mumford,Lakhmi C. Jain Book 2009 Springer-Verlag Berlin Heidelberg 2009 Multi

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發(fā)表于 2025-3-25 05:07:51 | 只看該作者
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發(fā)表于 2025-3-26 00:47:44 | 只看該作者
Collaborative Computational Intelligence in Economics the collaboration within the realm of computational intelligence, and, second, the collaboration beyond the realm of it. These two forms of collaboration have had a significant impact upon the current state of economics. First, they enhance and enrich the heterogeneous-agent research paradigm in ec
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發(fā)表于 2025-3-26 04:49:46 | 只看該作者
IMMUNE: A Collaborating Environment for Complex System Designion, and autonomy of design agents has been recognized as the main contributor to novelty and innovation of solutions. Unfortunately, agents’ autonomy can make the design environment chaotic and inefficient. To address this dilemma of distributed versus central control in complex system design, deci
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發(fā)表于 2025-3-26 12:11:30 | 只看該作者
Bayesian Learning for Cooperation in Multi-Agent Systems As work in these fields develops, such systems face increasing challenges. Two particular challenges are decision making in uncertain and partially-observable environments, and coordination with other agents in such environments. Although uncertainty and coordination have been tackled as separate p
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發(fā)表于 2025-3-26 14:32:11 | 只看該作者
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發(fā)表于 2025-3-26 19:57:55 | 只看該作者
Predicting Trait Impressions of Faces Using Classifier Ensemblesial morphology. Exploring machine models of people’s impressions of faces has value in the fields of social psychology and human-computer interaction. Our first concern in designing this study was developing a sound ground truth for this problem domain. We accomplished this by collecting a large num
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