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Ho-fung Leung – One of the best experts on this subject based on the ideXlab platform.

  • a multi agent infrastructure for mobile workforce management in a service oriented enterprise
    Hawaii International Conference on System Sciences, 2005
    Co-Authors: Dickson K.w. Chiu, S.c. Cheung, Ho-fung Leung
    Abstract:

    With recent advances in mobile technologies and infrastructures, there are increasing demands for the support of mobile workforce management (MWM) across multiple platforms. Mobile users can interact with the MWM system through SMS messages or Web browsers from personal computers, PDA devices, or WAP phones. MWM typically involves tight collaboration, negotiation, and sophisticated business domain knowledge. Therefore, the main challenge of MWM for a service oriented enterprise is the integration of disparate business function for its mobile professional workforce and the management with a unified infrastructure, together with the provision of personalized assistance and automation. These requirements can be facilitated with the use of intelligent software agents, but has not been adequately studied before. As mobile devices become more powerful, intelligent software agents can now be deployed on these devices and hence also subject to mobility. Thus, MWM systems have to accommodate these requirements as well as the support of heterogeneous platforms. In this paper, we formulate a scalable, flexible, and intelligent multi-agent information system (MAIS) infrastructure for MWM with agent clusters in the context of a large service oriented enterprise. Each agent cluster comprise several types of agents to achieve the goal of each phase of the workforce management process, namely, task formulation, matchmaking, brokering, commuting, and service. We evaluate our approach against different stakeholders’ perspective.

  • HICSS – A Multi-Agent Infrastructure for Mobile Workforce Management in a Service Oriented Enterprise
    Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 1
    Co-Authors: Dickson K.w. Chiu, S.c. Cheung, Ho-fung Leung
    Abstract:

    With recent advances in mobile technologies and infrastructures, there are increasing demands for the support of mobile workforce management (MWM) across multiple platforms. Mobile users can interact with the MWM system through SMS messages or Web browsers from personal computers, PDA devices, or WAP phones. MWM typically involves tight collaboration, negotiation, and sophisticated business domain knowledge. Therefore, the main challenge of MWM for a service oriented enterprise is the integration of disparate business function for its mobile professional workforce and the management with a unified infrastructure, together with the provision of personalized assistance and automation. These requirements can be facilitated with the use of intelligent software agents, but has not been adequately studied before. As mobile devices become more powerful, intelligent software agents can now be deployed on these devices and hence also subject to mobility. Thus, MWM systems have to accommodate these requirements as well as the support of heterogeneous platforms. In this paper, we formulate a scalable, flexible, and intelligent multi-agent information system (MAIS) infrastructure for MWM with agent clusters in the context of a large service oriented enterprise. Each agent cluster comprise several types of agents to achieve the goal of each phase of the workforce management process, namely, task formulation, matchmaking, brokering, commuting, and service. We evaluate our approach against different stakeholders’ perspective.

Alessandro Ricci – One of the best experts on this subject based on the ideXlab platform.

  • Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo
    , 2020
    Co-Authors: Olivier Boissier, Rafael H. Bordini, Jomi Fred Hübner, Alessandro Ricci
    Abstract:

    The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level. A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment. The book puts the approach into practice using the JaCaMo programming model and platform. It employs an easy-to-follow, step-by-step style, showing solutions to increasingly complex scenarios. The book also discusses the integration of MAOP into existing technologies and application domains, including mobile computing, web-based computing, and robotics. Finally, it considers artificial intelligence (AI)–related classical problems from an MAOP perspective and discusses an Agent-Oriented approach to software engineering.

  • Dimensions in programming multi-agent systems
    Knowledge Engineering Review, 2019
    Co-Authors: Olivier Boissier, Rafael H. Bordini, Jomi Hübner, Alessandro Ricci
    Abstract:

    Research on Multi-Agent Systems (MAS) has led to the development of several models, languages, and technologies for programming not only agents, but also their interaction, the application environment where they are situated, as well as the organization in which they participate. Research on those topics moved from Agent-Oriented programming towards multi-Agent-Oriented programming (MAOP). A MAS program is then designed and developed using a structured set of concepts and associated first-class design and programming abstractions that go beyond the concepts normally associated with agents. They include those related to environment, interaction, and organization. JaCaMo is a platform for MAOP built on top of three seamlessly integrated dimensions (i.e. structured sets of concepts and associated execution platforms): for programming belief desire intention (BDI) agents, their artefact-based environments, and their normative organizations. The key purpose of our work on JaCaMo is to support programmers in exploring the synergy between these dimensions, providing a comprehensive programming model, as well as a corresponding platform for developing and running MAS. This paper provides a practical overview of MAOP using JaCaMo. We show how emphasizing one particular dimension leads to different solutions to the same problem, and discuss the issues of each of those solutions.

  • Agent-Oriented Software Engineering – Unravelling Multi-Agent-Oriented Programming
    Agent-Oriented Software Engineering, 2014
    Co-Authors: Olivier Boissier, Rafael H. Bordini, Jomi Fred Hübner, Alessandro Ricci
    Abstract:

    A fully-fledged programming paradigm based on ideas from multi-agent systems requires a lot more than early Agent-Oriented programming languages envisaged. More than interaction between autonomous entities, the social level of multi-agent systems as well as the shared environment where the agents are situated also need to be suitably designed. In fact, the abstractions used at each of those three levels are all equally important and interrelated. In this chapter, we discuss JaCaMo, a platform for multi-Agent-Oriented programming that covers abstractions such as: beliefs, goals, and plans at the agent level; groups, roles, functional schemes (i.e., social plans), and norms at the organizational level; and artifacts and workspaces at the environment level. The chapter also includes a simple multi-agent system example to illustrate the approach.

Shanika Karunasekera – One of the best experts on this subject based on the ideXlab platform.

  • Australian Software Engineering Conference – Agent-Oriented software analysis
    2004 Australian Software Engineering Conference. Proceedings., 2004
    Co-Authors: Kevin Chan, Leon Sterling, Shanika Karunasekera
    Abstract:

    Agent-Oriented software engineering (AOSE) has become an active area of research in recent years. We look at the use of Agent-Oriented concepts for software analysis. Using Agent-Oriented analysis may offer benefits even if the system is implemented without an agent-based language or framework (e.g. using an object-oriented detailed design and language). We examine the software analysis components of a number of existing Agent-Oriented methodologies. We discuss the benefits that can be gained by using Agent-Oriented concepts, and where the concepts require further development. Based on this analysis, we present the Agent-Oriented methodology that we are developing, and describe an example of how it may be applied for software analysis.

Olivier Boissier – One of the best experts on this subject based on the ideXlab platform.

  • Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using JaCaMo
    , 2020
    Co-Authors: Olivier Boissier, Rafael H. Bordini, Jomi Fred Hübner, Alessandro Ricci
    Abstract:

    The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level. A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment. The book puts the approach into practice using the JaCaMo programming model and platform. It employs an easy-to-follow, step-by-step style, showing solutions to increasingly complex scenarios. The book also discusses the integration of MAOP into existing technologies and application domains, including mobile computing, web-based computing, and robotics. Finally, it considers artificial intelligence (AI)–related classical problems from an MAOP perspective and discusses an Agent-Oriented approach to software engineering.

  • Dimensions in programming multi-agent systems
    Knowledge Engineering Review, 2019
    Co-Authors: Olivier Boissier, Rafael H. Bordini, Jomi Hübner, Alessandro Ricci
    Abstract:

    Research on Multi-Agent Systems (MAS) has led to the development of several models, languages, and technologies for programming not only agents, but also their interaction, the application environment where they are situated, as well as the organization in which they participate. Research on those topics moved from Agent-Oriented programming towards multi-Agent-Oriented programming (MAOP). A MAS program is then designed and developed using a structured set of concepts and associated first-class design and programming abstractions that go beyond the concepts normally associated with agents. They include those related to environment, interaction, and organization. JaCaMo is a platform for MAOP built on top of three seamlessly integrated dimensions (i.e. structured sets of concepts and associated execution platforms): for programming belief desire intention (BDI) agents, their artefact-based environments, and their normative organizations. The key purpose of our work on JaCaMo is to support programmers in exploring the synergy between these dimensions, providing a comprehensive programming model, as well as a corresponding platform for developing and running MAS. This paper provides a practical overview of MAOP using JaCaMo. We show how emphasizing one particular dimension leads to different solutions to the same problem, and discuss the issues of each of those solutions.

  • Agent-Oriented Software Engineering – Unravelling Multi-Agent-Oriented Programming
    Agent-Oriented Software Engineering, 2014
    Co-Authors: Olivier Boissier, Rafael H. Bordini, Jomi Fred Hübner, Alessandro Ricci
    Abstract:

    A fully-fledged programming paradigm based on ideas from multi-agent systems requires a lot more than early Agent-Oriented programming languages envisaged. More than interaction between autonomous entities, the social level of multi-agent systems as well as the shared environment where the agents are situated also need to be suitably designed. In fact, the abstractions used at each of those three levels are all equally important and interrelated. In this chapter, we discuss JaCaMo, a platform for multi-Agent-Oriented programming that covers abstractions such as: beliefs, goals, and plans at the agent level; groups, roles, functional schemes (i.e., social plans), and norms at the organizational level; and artifacts and workspaces at the environment level. The chapter also includes a simple multi-agent system example to illustrate the approach.

Jiang Tong-qiang – One of the best experts on this subject based on the ideXlab platform.

  • Agent-Oriented Petri Nets and Its Application
    Computer Simulation, 2011
    Co-Authors: Jiang Tong-qiang
    Abstract:

    To better describe the behaviors of single agent and the complex interactions between agents in MAS,a kind of model called Agent-Oriented Petri Nets(AOPN) was proposed by unifying the technology of agent and Petri Nets.An AOPN formalized definition was given first.And then by modeling interactions between buyer agent and seller agent based on on-line shopping,Agent-Oriented Petri nets modeling method was studied and analyzed by using the Petri net modeling tool.The method solved the complex problem of system structure effectively and built the foundation for further application.