Showing papers on "Knowledge Query and Manipulation Language published in 2003"
TL;DR: An object-oriented workflow ontology for this distributed workflow management domain is described and the interaction protocol and supporting implementation based on the Knowledge Query and Manipulation Language (KQML) are presented.
Abstract: Agent communication has developed widely over the past decade for various types of multiple agent environments. Originally, most of this research surrounded simulation systems and inference systems. Subsequently, agents are expected to adapt to, dynamically create, and understand evolving conversation policies. This concept of agent communication is not completely necessary in some domains. One such domain is that of distributed workflow management with implications into Electronic Commerce. In this domain, agents are "middle-agents" that represent the distributed components that implement each individual workflow step. By representing the component-based services of each step, multiple distributed agents can essentially manage a workflow or supply chain that spans several online businesses (B2B). The WARP (Workflow-Automation through Agent-Based Reflective Processes) architecture is a multi-agent architecture developed to support distributed workflow management environments where distributed components are used to implement each of the workflow steps This paper describes an object-oriented workflow ontology for this distributed workflow management domain. There is also a software engineering process for integrating new component-based services into this ontology. Furthermore, the interaction protocol and supporting implementation based on the Knowledge Query and Manipulation Language (KQML) are presented. This agent communication architecture is implemented using Sun MicroSystems' Java and Jini technologies.
21 citations
10 Nov 2003
TL;DR: This paper introduces the communication mechanism of autonomous robot soccer system, and its practical and reliable communication language based on KQML (Knowledge Query and Manipulation Language), which is designed for cooperative problem solving and knowledge sharing of the multi-robot system.
Abstract: Autonomous robot soccer system consists of a multi-agent system that need to cooperate in unknown, dynamic, and competitive environment. Thus, it is a crucial issue how to realize effective and real time communications among soccer robots. There are three problems need to solve about the communication, they are dialog management, communication language, and communication protocol. Thereinto, communication language is a intermedium to transport information and exchange knowledge among agents. In this paper, we introduce the communication mechanism of autonomous robot soccer system, and its practical and reliable communication language based on KQML (Knowledge Query and Manipulation Language), which is designed for cooperative problem solving and knowledge sharing of the multi-robot system. It is shown that the communication mechanism is effective, efficient robust.
5 citations
2 Nov 2003
TL;DR: The research and design of a KQML speaking and CORBA-based intelligent multi-agent system (MAS) and the functionality of the intelligent MAS is demonstrated with the UCAV (uninhabited combat aerial vehicle) operator control sharing application.
Abstract: This paper presents the research and design of a KQML(knowledge query and manipulation language) speaking and CORBA-based intelligent multi-agent system (MAS). The MAS uses KQML as the agent communication language (ACL) and uses the CORBA event service and CORBA object trading service to implement the communication and facilitation mechanisms of the MAS. The functionality of the intelligent MAS is demonstrated with the UCAV (uninhabited combat aerial vehicle) operator control sharing application.
4 citations
1 Jan 2003
TL;DR: A multiagent architecture for CAD/CAPP/CAM integration for the remote manufacturing of cylindrical parts using Internet, especially through the protocols associated with the World Wide Web is described.
Abstract: This paper describes a multiagent architecture for CAD/CAPP/CAM integration for the remote manufacturing of cylindrical parts using Internet, especially through the protocols associated with the World Wide Web. This methodology specifies the modules of the system, and how these modules interact with each other. The methodology is conceived starting from the modeling paradigm based on the synthesis of design features, in order to allow the integration of the design activities (CAD), process planning (CAPP) and manufacturing (CAM Planning and Execution). The procedure begins with the modeling of a part by features in a context of remote manufacturing using the Web as the communication means, in a client-server computer model. The system is conceived in a distributed environment of agents of interoperable pieces of software called Community of Manufacturing Agents, whose architecture is stratified in three levels: Design, Process Planning and Manufacturing. The flow of information among the three levels is accomplished through information encapsulation, being adopted the Knowledge Query and Manipulation Language (KQML) as the language pattern of messages among the agents.
2 citations
13 Oct 2003
TL;DR: The user-centred approach enables a user to enforce his own privacy policies during the privilege negotiation process and security issues for interaction between agents are discussed.
Abstract: Privilege negotiation agents migrate from the security servers of different administrative domains on the Internet to the user's secure client agent environment. They work cooperatively for trust establishment and authorisation in an automated way. Agent communication protocols are expressed through the Knowledge Query and Manipulation Language (KQML). Security issues for interaction between agents are discussed. The user-centred approach enables a user to enforce his own privacy policies during the privilege negotiation process.
2 citations
1 Jan 2003
TL;DR: This chapter presents a multiagent computational approach to solve a procurement problem that falls under the supply chain domain and defines the interactions between the agents and model the interactions using Knowledge Query and Manipulation Language (KQML) based syntax and semantics.
Abstract: In this chapter, we present a multiagent computational approach to solve a procurement problem that falls under the supply chain domain. In this approach we model each transportation company as consisting of a master and several slaves. A master represents the task negotiator and task allocator for a company. A slave represents a vehicle to whom the tasks are allocated by its master. We consider a transportation problem containing several stochastic parameters for real-time decision making. Each master and slave is modeled using BDI (Belief-Desire-Intention) logical model of an agent. The emphasis in this paper is on the information infrastructure for information exchange between the agents. We define the interactions between the agents and model the interactions using Knowledge Query and Manipulation Language (KQML) based syntax and semantics.
1 citations