Titlebook: Agents and Data Mining Interaction; 10th International W Longbing Cao,Yifeng Zeng,Philip S. Yu Conference proceedings 2015 Springer Interna

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Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Crosssing all available data sources. The paper focuses on conceptual level of ontology-based formal model of the customer profile built in actionable form. Learning of cross-domain customer profile as well as its use in recommendation scenario requires solving a number of novel problems, e.g. informatio

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Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation,cenarios. The challenge is in encoding the agents so that they operate as realistically as possible. The work described in this paper is directed at the mining of movement information from video data which can then be used to encode the operation of agents operating within a MABS framework. More spe

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Accessory-Based Multi-agent Simulating Platform on the Web, components and combines them; while other groups of people are responsible for developing these components. The “accessories library” consists of these relative independent functional components which are abstracted from various simulation cases. Therefore, we propose the “accessories library” and

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Performance Evaluation of Agents and Multi-agent Systems Using Formal Specifications in Z Notation, performance. Existing methods in the field of software engineering do not adequately address the unpredictable and complex nature of intelligent agents. We introduce a generic methodology for evaluating agent performance; the Agent Performance Evaluation (APE) methodology consists of representation