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Titlebook: Computational Logic in Multi-Agent Systems; 4th International Wo Jürgen Dix,Jo?o Leite Conference proceedings 2005 Springer-Verlag Berlin H

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樓主: 警察在苦笑
21#
發(fā)表于 2025-3-25 04:18:04 | 只看該作者
Fault Tolerant and Fixed Scalable Structure of Middle-Agentsgement describing several methods that can be used for social knowledge propagation and related methods to search for knowledge in this structure. We also test the fault-tolerance of this structure in practical experiments.
22#
發(fā)表于 2025-3-25 07:43:40 | 只看該作者
23#
發(fā)表于 2025-3-25 12:56:41 | 只看該作者
24#
發(fā)表于 2025-3-25 16:12:38 | 只看該作者
Learning in BDI Multi-agent Systems plans are successfully executable. Our implementation enables multiple agents executed as parallel functions in a single Lisp image. In addition, our approach maintains consistency between learning and the theory of practical reasoning.
25#
發(fā)表于 2025-3-25 20:28:56 | 只看該作者
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rulesuture extensions aimed towards learning first-order models. We show that stochastic rules produced by this algorithm are capable of reproducing an accurate world model in a simple predator-prey environment.
26#
發(fā)表于 2025-3-26 01:38:16 | 只看該作者
https://doi.org/10.1007/978-3-642-88314-9aluation of the survivability of the MAS. In this paper, we present three algorithms to address these two important problems. Our algorithms can be built on top of . CSA. Our algorithms are completely distributed and can handle external triggers to compute a new deployment. We report on experiments assessing the efficiency of these algorithms.
27#
發(fā)表于 2025-3-26 04:57:07 | 只看該作者
Studien zur Struktur des Bewusstseinsg without implementing a meta-interpreter. In fact a DALI agent, which is capable of complex proactive behavior, can build step-by-step her plan by proactively checking for goals and possible actions.
28#
發(fā)表于 2025-3-26 12:14:26 | 只看該作者
29#
發(fā)表于 2025-3-26 13:21:54 | 只看該作者
30#
發(fā)表于 2025-3-26 20:01:11 | 只看該作者
Planning Experiments in the DALI Logic Programming Languageg without implementing a meta-interpreter. In fact a DALI agent, which is capable of complex proactive behavior, can build step-by-step her plan by proactively checking for goals and possible actions.
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