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  • Debenham, John; Sierra, Carles (Springer, 2009)
    An agent aims to secure his projected needs by attempting to build a set of (business) relationships with other agents. A relationship is built by exchanging private infomlation, and is characterised by its intimacy - ...
  • Debenham, John (Electronic Imaging Services, 2001)
  • Jiang, Frank; Dong, Daoyi; Cao, Longbing; Frater, Michael (IEEE, 2013)
    Immunology inspired computer security has attracted enormous attention as its potential impacts on the next generation service-oriented network operation system. In this paper, we propose a new agent-based threat awareness ...
  • Luo, Chao; Zhao, Yanchang; Luo, Dan; Zhang, Chengqi; Cao, Wei (Springer-Verlag, 2011)
    This paper presents an agent-based algorithm for discovering subspace clusters in high dimensional data. Each data object is represented by an agent, and the agents move from one local environment to another to find optimal ...
  • Coulin, Chad; Zowghi, Didar (ACM Press, 2003)
  • McGregor, C.; Kumaran, S. (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2002)
    Organizations invest in B2B and Workflow Management Systems to enable seamless integration of multiple transaction systems that support their business processes. However, knowledge of the organization’s performance ...
  • Zhang, Zili; Zhang, Chengqi; Zhang, Shichao (Taylor and Francis, 2003)
  • Cao, Longbing; Luo, Dan; Xiao, Yan Shan; Zheng, Zhigang (Springer Berlin, 2008)
    The collaboration of agents can undertake complicated tasks that cannot be handled well by a single agent. This is even true for excecuting multiple goals at the same time. In this paper, we demonstrate the use of trading ...
  • Debenham, John; Sierra, Carles (Springer-Verlag Berlin Heidelberg, 2010)
    An agent architecture supports the two forms of deliberation used by human agents. Cartesian, constructivist rationalism leads to game theory, decision theory and logical models. Ecological rationalism leads to deliberative ...
  • Debenham, John (INSTICC, 2005)
  • Debenham, John (IEEE, 2001)
  • Hawryszkiewycz, Igor (ACTA Press, 2005)
  • Lin, Ai Zhong; Hawryszkiewycz, Igor; Henderson-Sellers, Brian (Springer-Verlag, 2005)
    The intention of managing agent interactions between agents residing in a virtual collaborative environment is to obtain some useful beliefs that can be used in agent reasoning and decision making in order to optimize ...
  • Cao, Longbing; Luo, Chao; Zhang, Chengqi (Springer, 2007)
    In the past twenty years, agents (we mean autonomous agent and multi-agent systems) and data mining (also knowledge discovery) have emerged separately as two of most prominent, dynamic and exciting research areas. In recent ...
  • Cao, Longbing; Gorodetsky, Vladimir; Mitkas, Pericles (IEEE, 2009)
    Autonomous agents and multiagent systems (or agents) and data mining and knowledge discovery (or data mining) are two of the most active areas in information technology. Ongoing research has revealed a number of intrinsic ...
  • Debenham, John; Sierra, Carles (Springer, 2010)
    Relationships are fundamental to all but the most impersonal forms of interaction in business. An agent aims to secure projected needs by attempting to build a set of (business) relationships with other agents. A relationship ...
  • Henderson-Sellers, Brian; Tran, Quynh-Nhu Numi; Debenham, John; Gonzalez Perez, Cesar (Springer, 2005)
    Information systems development (ISD) requires the underpinning of a high quality methodology (which includes elements to describe both the process of development and the work productswhich are the consumables used and ...
  • Cao, Longbing; Dai, Ru (World Scientific Publishing Company, 2003)
  • Henderson-Sellers, Brian (M.E. Sharpe, 2009)
    Agent-oriented (AO) methodologies vary in style and, particularly, in heritage and often with a specific focus (either in terms of domain, application style, or life-cycle coverage). For industry adoption it is essential ...
  • Zhang, Chengqi; Zhang, Zili; Cao, Longbing (Springer-Verlag Berlin, 2005)
    This paper tells a story of synergism of two cutting edge technologies - agents and data mining. By integrating these two technologies, the power for each of them is enhanced. Integrating agents into data mining systems, ...