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Titlebook: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems; First International Ngoc Thanh Nguyen,Ryszard

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樓主: deep-sleep
41#
發(fā)表于 2025-3-28 15:12:10 | 只看該作者
42#
發(fā)表于 2025-3-28 20:43:37 | 只看該作者
Towards an Increase of Collective Intelligence within Organizations Using Trust and Reputation Modelnd based on a cognitive model of trust, it is shown up how trust can increase collective intelligence in an organization. We try to simulate agents’ behavior using the preferential attachment hypothesis.
43#
發(fā)表于 2025-3-28 23:38:00 | 只看該作者
A New Ant Colony Optimization Algorithm with an Escape Mechanism for Scheduling Problemsiness problem, a flow shop scheduling problem for makespan minimization, and a job shop scheduling problem for makespan minimization. Compared with existing algorithms, the proposed algorithm will resolve the scheduling problems with less artificial ants and obtain better or at least the same, solution quality.
44#
發(fā)表于 2025-3-29 05:11:22 | 只看該作者
Implementation of Epistemic Operators for Model Checking Multi-agent Systemsc with unless operator for epistemic reasoning (ACTLW-ER) is used for MAS model checking. Epistemic operators of ACTLW-ER are implemented by symbolic model checking algorithms using binary decision diagrams.
45#
發(fā)表于 2025-3-29 07:24:30 | 只看該作者
46#
發(fā)表于 2025-3-29 13:04:57 | 只看該作者
Bin Yu,Jinhui Liu,Ming Lei,Yong Yu,Hao Chenelations among defender, midfielder and forward players. The proposed model has been tested with different teams in off-line mode showing that it is able to recognize the different main formations used by a team during a match.
47#
發(fā)表于 2025-3-29 19:30:14 | 只看該作者
48#
發(fā)表于 2025-3-29 20:23:31 | 只看該作者
Firefly Algorithm for Continuous Constrained Optimization Tasksstrategy based on existing benchmark instances. Finally some concluding remarks on possible algorithm extensions are given, as well as some properties of the presented approach and comments on its performance in the constrained continuous optimization tasks.
49#
發(fā)表于 2025-3-30 03:02:35 | 只看該作者
Recognizing Team Formations in Multiagent Systems: Applications in Robotic Soccerelations among defender, midfielder and forward players. The proposed model has been tested with different teams in off-line mode showing that it is able to recognize the different main formations used by a team during a match.
50#
發(fā)表于 2025-3-30 04:43:29 | 只看該作者
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