Showing papers on "Knowledge Query and Manipulation Language published in 2002"
30 Oct 2002
TL;DR: This paper describes a software engineering process for integrating new component-based services into a static workflow-based ontology 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, especially in domains where the policy of interaction is essentially static. 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 on-line 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 a software engineering process for integrating new component-based services into a static workflow-based 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 with the latest in Sun MicroSystems' Jini technology.
7 citations
Proceedings Article•
1 Jan 2002
TL;DR: This paper uses the CORBA middleware to implement a distributed system that is interoperable across platforms and describes the incorporation of KQML (Knowledge Query and Manipulation Language) software agents in ISIS to handle delegation dialogs.
Abstract: ISIS (Intelligent Speech for Information Systems) is a trilingual spoken dialog system in the stocks domain. It supports the three languages commonly used in Hong Kong (Cantonese, Putonghua and English), and serves as a test-bed for our research in various speech and language technologies. ISIS also features combined interaction and delegation dialogs, and automatic assimilation of newly listed stock names into the system’s knowledge base. This paper focuses on the architecture and multi-modality of ISIS. We use the CORBA middleware to implement a distributed system that is interoperable across platforms. We also describe the incorporation of KQML (Knowledge Query and Manipulation Language) software agents in ISIS to handle delegation dialogs. The latest enhancement supports multi-modal and mixed-modal input which suit the natural affordances of certain interactions in order to improve usability. Input modalities include speaking, typing or mouse-clicking. Output media include synthesized speech, text, tables and graphics.
3 citations
10 Dec 2002
TL;DR: This work uses a formal multilevel hierarchy of emotions where emotions both modify active behaviors at the sensory-motor level and change the set of active behaviorsat the schematic level to implement a team of heterogeneous robots using a hybrid deliberative/reactive architecture.
Abstract: Previous experiences show that it is possible for agents such as robots cooperating asynchronously on a sequential task to enter deadlock, where one robot does not fulfil its obligations in a timely manner due to hardware or planning failure, unanticipated delays, etc. Our approach uses a formal multilevel hierarchy of emotions where emotions both modify active behaviors at the sensory-motor level and change the set of active behaviors at the schematic level. The resulting implementation of a team of heterogeneous robots using a hybrid deliberative/reactive architecture produced the desired emergent societal behavior. Data collected at two different public venues illustrate how a dependent agent selects new behaviors (e.g., stop serving, move to intercept the refiner) to compensate for delays from a subordinate agent (e.g., blocked by the audience). The subordinate also modifies the intensity of its active behaviors in response to feedback from the dependent agent. The agents communicate asynchronously through knowledge query and manipulation language via wireless Ethernet.