Journal of Intelligent & Fuzzy Systems - Volume 21, issue 3

Authors: Król, Dariusz | Nguyen, Ngoc Thanh

Article Type: Correction

DOI: 10.3233/IFS-2010-0447

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 3, pp. 163-164, 2010

Authors: Lopez-Carmona, Miguel A. | Marsa-Maestre, Ivan | Ibañez, Guillermo | Carral, Juan A. | Velasco, Juan R.

Article Type: Research Article

Abstract: In multi-issue bilateral negotiations, it is possible to make issue trade-offs to allow agents to search for win-win solutions. Different techniques may be used to perform these trade-offs. In particular, similarity criteria have been successfully used in this context. However, one drawback of similarity-based trade-offs is that this approach behaves differently depending on the knowledge each agent has about its counterpart, and depending on the order in which the different issues are considered. To address this problem, in this paper we propose three new mechanisms to improve the search for joint gains. Two of them are applicable in expressive scenarios, …where agents may be willing to share preference information, while the third one is intended for inexpressive scenarios. The experimental evaluation shows how our proposals improve the efficiency and optimality of the negotiation process over previous approaches. Show more

DOI: 10.3233/IFS-2010-0448

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 3, pp. 165-174, 2010

Authors: Fujita, Katsuhide | Ito, Takayuki | Klein, Mark

Article Type: Research Article

Abstract: Multi-issue negotiation protocols represent a promising field sincemost negotiation problems in the real world involve multiple issues. Our work focuses on negotiation with multiple interdependent issues in which agent utility functions are nonlinear. Firstly, we define utility function based on cone-constraints which are nonlinear. The utility function based on cone-constraint is more realistic than existing utility models and configures the risk attitudes to the cone-constraint. However, if the utility function has cone-constraint features, the utility space becomes extremely nonlinear, making it very difficult to find the optimal agreement point. Existing works have not yet concerned with agents' private information that …should be concealed from others in negotiations. In this paper, we propose Distributed Mediator Protocol and Take it or Leave it Protocol for negotiation that can reach agreements and completely conceal agents’ private information. Moreover, we propose Hybrid Secure Protocol that combines Distributed Mediator Protocol with Take it or Leave it Protocol. The Hybrid Secure Protocol can also reach agreements while completely concealing agents’ private information. Furthermore, the Hybrid Secure Protocol achieves high optimality and uses less communication cost. We demonstrate the performance of Hybrid Secure Protocol in cone-constraints and cube-constraints situations. Show more

DOI: 10.3233/IFS-2010-0449

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 3, pp. 175-185, 2010

Authors: Jung, Jason J.

Article Type: Research Article

Abstract: Ontology mapping is critical for semantic interoperability between information systems in ontology-based distributed environments. Manual ontology mapping by human experts has been studied as traditional approach. However, these manual tasks are usually expensive, so that it is difficult to obtain mapping results between all possible pairs in a large-scale distributed information system. Thereby, in this paper, we propose a system to estimate the ontology mappings in an indirect manner by making the existing mappings collaboratively sharable and exchangeable, and more importantly, efficiently composing the collected existing mappings. In particular, this work focuses on query propagation for searching for relevant resources …on the distributed networks. Once indirect mapping from source system to destination is obtained, the queries can be efficiently transformed to automatically exchange knowledge between them by referring to the mappings, even though they do not have direct connection. In order to evaluate the proposed mapping composition method, we have measured the ratio (i.e., precision and recall) of the indirect mappings to reference mappings which were acquired from human experts. It means that we have regarded information loss by query transformation as an important indicator to knowledge sharing in ontology-based distributed environment. Show more

DOI: 10.3233/IFS-2010-0450

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 3, pp. 187-195, 2010

Authors: Duong, Trong Hai | Nguyen, Ngoc Thanh | Jo, Geun Sik

Article Type: Research Article

Abstract: A number of studies have focused on how to constructan academic social network. The relational ties among researchers are either co-authorship or shared keywords that are captured from scientific journals. The problem with such a network is that researchers are limited within their professional social network. In this paper, we propose a novel method for building a social network explicitly based on researchers’ knowledge interests. The researcher’s profile is automatically generated from metadata of scientific publications and homepage. By measuring the similarity between topics of interest, we are able to construct a researcher social network with relational linkages among …authors that are produced by matching the their corresponding profiles. A direct loop graph-based social network is proposed. The graph naturally represents such a social network. Interestingly, our results showed that a social network based on profile matching is more representative than network based on publication co-authorship or shared keywords. Researcher mining in the academic social network has been explored via two problems Researcher Ranking and Expert Finding. Show more

Keywords: Ontology, researcher profile, ontology-based user profile, ontology integration, social network, social network visualization

DOI: 10.3233/IFS-2010-0451

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 3, pp. 197-207, 2010

Authors: Chiu, Tzu-Fu

Article Type: Research Article

Abstract: Technology monitoring is helpful for companies, employees, and stakeholders to understand the technological situation of their supplying products nowadays. Solar cell, one of the green energy, is growing rapidly with its nonpolluted and unexhausted characteristics. In addition, the patent data contains plentiful technological information from which is worthwhile for exploring further knowledge. Therefore, two graph-based methods, KeyGraph and Data Crystallization, were employed so as to analyze the patent data, to form a technological scenario, and to explain the overview of solar cell technology. Finally, the relations among companies, technology, and application have been observed, and the strategic suggestions have been …proposed accordingly. Show more

Keywords: Technology monitoring, keygraph, data crystallization, solar cell, patent data

DOI: 10.3233/IFS-2010-0452

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 3, pp. 209-219, 2010

Authors: Król, Dariusz | Drożdżowski, Maciej

Article Type: Research Article

Abstract: Swarm intelligence is a rapidly growing branch of artificial intelligence with numerous heuristics being developed. These offer faster and more accurate ways to achieve good solutions. Ant colony optimization (ACO) and particle swarm optimization (PSO) are the most common metaheuristics. Based on the behaviour of collectives of ants, birds, fish and others, they offer algorithms which can be used to solve different NP-hard problems. Multi-agent systems (MAS) offer new perspectives on organisation of code into specific components as autonomic, decentralized or distributed agents. The Multi-agent Systems Engineering (MaSE) methodology allows the combination of both aforementioned approaches. This paper presents research …based on the AgentSwarm application which evaluates the efficiency of applying MaSE methodology to solve the traveling salesman problem (TSP) using ACO and PSO metaheuristics. Initial results have shown that MaSE is a comprehensive methodology, solid and reliable in building and developing swarm-based multi-agent systems. Show more

DOI: 10.3233/IFS-2010-0453

Citation: Journal of Intelligent & Fuzzy Systems, vol. 21, no. 3, pp. 221-231, 2010