6743275
An Infrastructure for Agent Collaboration in Open Environments
In this paper, we present a service composition tool which enables specification of composite services for users with limited programming skills. We view composite services as a loose form of teamwork of service provider agents coordinated by a personal user agent. Such view enables us to use an existing hierarchical model of teamwork as the basis for service composition. An extension to the current model of teamwork is also proposed to achieve flexible and robust execution of composite services in an open environment.
23049563
A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology
In this paper, we identify that failure to cater for the various forms of heterogeneity is one of the major drawbacks of the previous research on multi-agent belief revision (MABR). Three major categories of heterogeneity, namely social, semantic and syntactic heterogeneity are clarified. Several issues posed by such heterogeneities are addressed in the context of BR. The use of ontology is proposed as a powerful tool to tackle the heterogeneity issues so as to achieve the necessary reliable communication find system interoperability required by MABR. The question of what kind of ontology would be suitable to support MABR in a heterogenous setting is answered in Part I. In its sequel, Part II, a general framework for MABR is presented based on a shared knowledge structure which serves as the theoretical basis for ontology design.
5841147
Trustworthiness of Information Sources and Information Pedigrees
To survive, and indeed thrive, in an open heterogenous information sharing environment, an agent's ability to evaluate the trustworthiness of other agents becomes crucial. In this paper, we investigate a procedure for evaluating an agent's trustworthiness as an information source. By separating the procedure into competency analysis and sincerity analysis, we are able to deal with complicated cases involving the passing-on of information, where the same information may reach a receiver agent via different routes. In order to keep information about the source agent we use an information pedigree as a means to maintain the history of communicated information. Our evaluation of trustworthiness can be employed to drive data fusion, weighted knowledge base merging, and multiple source conflict resolution.
12391996
A Framework for Multi-Agent Belief Revision
ix
30505871
User Interest Detection on Web Pages for Building Personalized Information Agent
In this paper we propose a vision-based approach to detecting user’s interests on web pages. This approach first splits a web page into several blocks of topics according to visual cues and then analyzes the layout structure of the page based on these blocks. The user’s interests are detected according to his browsing behaviors on the blocks and the layout structure of the web page. A personalized information agent is also developed to automatically extract new content from those web pages according to the user’s interests. Our experiments show that our proposed approach to detecting user’s interests on web pages achieves satisfactory accuracy and the personalized information agent significantly saves user’s browsing time and improves user’s browsing experience.
1735256
A Web-Based CAD System for Learning and Laboratory Purpose
A Web-based CAD system for learning and laboratory purpose is presented in this paper. The system serves as a three-in-one courseware: a pedagogical tool for teaching, an experimental tool for learning and a programming kit for laboratory. As a pedagogical tool, the system can help teachers interactively demonstrate the properties of curves and their associated equations with animations. The same tool can be used by students to play the animations themselves. As a programming kit, the same CAD system allows some CAD functions to be programmable for laboratory purpose. All activities are available on-line through a standard Web browser. A prototype is implemented and a user study is conducted for evaluation of the system. The result shows that the students like the system since it allows them to learn and practice the subject at home.
7021428
An online composite graphics recognition approach based on matching of spatial relation graphs
A spatial relation graph (SRG) and its partial matching method are proposed for online composite graphics representation and recognition. The SRG-based approach emphasizes three characteristics of online graphics recognition: partial, structural, and independent of stroke order and stroke number. A constrained partial permutation strategy is also proposed to reduce the computational cost of matching two SRGs, which is originally an NP-complete problem as is graph isomorphism. Experimental results show that our proposed SRG-based approach is both efficient and effective for online composite graphics recognition in our sketch-based graphics input system - SmartSketchpad.
11440085
A Mapping Methodology for Designing Software Task Pipelines for Embedded Signal Processing
In this paper, we present a methodology for mapping an Embedded Signal Processing (ESP) application onto HPC platforms such that the throughput performance is maximized. Previous approaches used a linear pipelined execution model which restrict the mapping choices. We show that the “optimal” solution obtained under that model can be improved, using the proposed execution model. Based on the new model, a three-step task mapping methodology is developed. The methodology is demonstrated by designing Software Task Pipelines for modern radar and sonar signal processing applications. Experimental results show improved performance using our approach over those obtained by previous approaches.
13990206
Towards a flash search engine based on expressive semantics
Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are totally based on low-level features, which make it unpractical to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics for bridging the gap between low-level features and user queries. To smoothly incorporate expressive semantics into a search engine, an eigenvector-based model is devised to map a user query to expressive semantics with the aid of link analysis method. Our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.