Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ting-Jung Yu"'
Autor:
Ting-Jung Yu, 余丁榮
97
This dissertation presents a framework for learning opponent’s beliefs to improve the quality of negotiation and the overall competence of each agent in a multi-agent problem-solving environment. We first present a fuzzy constraint-directed
This dissertation presents a framework for learning opponent’s beliefs to improve the quality of negotiation and the overall competence of each agent in a multi-agent problem-solving environment. We first present a fuzzy constraint-directed
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/59391141811181826136
Publikováno v:
The Electronic Library, 2015, Vol. 33, Issue 3, pp. 450-467.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EL-08-2013-0151
Publikováno v:
International Journal of Intelligent Systems. 32:249-265
This study conducts a novel user profile learning approach based on fuzzy constraints. From the vantage of knowledge representation, a fuzzy constraint network is used not only to present the ambiguity of concepts and the diversity between concepts b
Publikováno v:
Scientometrics. 95:257-275
The purpose of this study is to integrate the method of chance discovery with visualization tools (KeyGraph) for presenting important and latent research topics in the e-commerce (EC) field. This study collects keywords and abstracts from 995 article
Publikováno v:
Applied Intelligence. 33:232-246
This work presents a general framework of agent negotiation with opponent learning via fuzzy constraint-directed approach. The fuzzy constraint-directed approach involves the fuzzy probability constraint and the fuzzy instance reasoning. The proposed
Publikováno v:
Journal of Computer Science and Technology. 20:319-330
Conflicts between two or more parties arise for various reasons and perspectives. Thus, resolution of conflicts frequently relies on some form of negotiation. This paper presents a general problem-solving framework for modeling multi-issue multilater
Autor:
K. Robert Lai, Ting Jung Yu
Publikováno v:
ICMLC
This paper presents a framework of fuzzy constraint- directed agent negotiation with learning element to improve the quality of negotiation. The learning element involves: 1) fuzzy probability constraint for regularizing the opponent's behavior to de
Publikováno v:
FUZZ-IEEE
This paper presents a belief learning model for fuzzy constraint-directed agent negotiation. The main features of the proposed model include: 1) fuzzy probability constraints for increasing the efficiency on the convergence of behavior patterns, and
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540741701
ICIC (1)
ICIC (1)
This work adopted the fuzzy constraint-directed approach to model opponent's beliefs in agent negotiation. The fuzzy constraint-directed approach involves the fuzzy probability constraint and the fuzzy instance reasoning. The fuzzy probability constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acbea7bd7d0ec26e400011e0e2b7c03f
https://doi.org/10.1007/978-3-540-74171-8_17
https://doi.org/10.1007/978-3-540-74171-8_17
Publikováno v:
Third International Conference on Autonomic and Autonomous Systems (ICAS'07).
This work presents a general framework of agent negotiation with autonomous learning via fuzzy constraint-directed approach. The fuzzy constraint-directed approach involves the fuzzy probability constraint where each fuzzy constraint has a certain pr