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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
31#
發(fā)表于 2025-3-26 22:12:14 | 只看該作者
Shaoying Liu,Zhenhua Duan,Fumiko Nagoyas (i.e., user preferences, user device, communication context, etc.). In this paper, we propose an agent-based solution that supports provisioning of group-oriented telecommunication services by applying ontology-based user profiling as well as semantic clustering techniques. Furthermore, proof-of-concept group-oriented service is presented.
32#
發(fā)表于 2025-3-27 04:05:14 | 只看該作者
33#
發(fā)表于 2025-3-27 06:39:17 | 只看該作者
34#
發(fā)表于 2025-3-27 11:49:03 | 只看該作者
35#
發(fā)表于 2025-3-27 17:28:28 | 只看該作者
Shaoying Liu,Zhenhua Duan,Fumiko Nagoyaon trader’s cultural background. This paper develops an agent model of deceit and trust and describes a multi-agent simulation where trading agents are differentiated according to Hofstede’s dimensions of national culture.
36#
發(fā)表于 2025-3-27 18:23:13 | 只看該作者
A Multi-agent Model of Deceit and Trust in Intercultural Tradeon trader’s cultural background. This paper develops an agent model of deceit and trust and describes a multi-agent simulation where trading agents are differentiated according to Hofstede’s dimensions of national culture.
37#
發(fā)表于 2025-3-28 00:05:30 | 只看該作者
38#
發(fā)表于 2025-3-28 02:15:44 | 只看該作者
A-Teams and Their Applicationssed methods have the additional advantage of being able to combine good solutions in order to get possibly better ones. The basic idea behind this way of doing is that good solutions often share parts with optimal solutions.
39#
發(fā)表于 2025-3-28 07:01:11 | 只看該作者
A Conception for Modification of Learning Scenario in an Intelligent E-learning Systemodify learning scenario based on collected data. In?this paper new knowledge structure is proposed. For the defined knowledge structure definitions of a learning scenario and a conception for modification of the learning scenario during a learning process are presented.
40#
發(fā)表于 2025-3-28 12:53:54 | 只看該作者
Distributed Data Mining Methodology with Classification Model Examplehout necessity to construct distributed version of data mining algorithm. Different combining strategies are proposed and their verification method as well. Proposed solutions were tested with data sets coming from UCI Machine Learning Repository.
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