Maoguang Wang

Distributed data mining on agent grid: issues, platform and development toolkit

Centralized data mining techniques are widely used today for the analysis of large corporate and scientific data stored in databases. However, industry, science, and commerce fields often need to analyze very large datasets maintained over geographically distributed sites by using the computational power of distributed systems. The Grid can play a significant role in providing an effective computational infrastructure support for this kind of data mining. Similarly, the advent of multi-agent systems has brought us a new paradigm for the development of complex distributed applications. During the past decades, there have been several models and systems proposed to apply agent technology building distributed data mining (DDM). Through a combination of these two techniques, we investigated the critical issues to build DDM on Grid infrastructure and design an Agent Grid Intelligent Platform as a testbed. We also implement an integrated toolkit VAStudio for quickly developing agent-based DDM applications and compare its function with other systems.

Model of emotional agent

The research result of neurobiology shows that emotions have a great effect on the intelligence of human beings. To make agent have the ability of handling emotions, a new model structure of emotion agent is proposed, based on the traditional BDI agent model. The model firstly establishes a new emotion knowledge base for emotion expression, secondly performs emotion reasoning by an emotional reasoning algorithm, and finally implements the emotions treatment. An emotional agent based on this model has been realized, experiment results show that it is efficient to transact simple emotions.

Multi-agent Cooperation: A Description Logic View

In this paper we propose dynamic description logic for formalizing multi-agent cooperation process with a clearly defined syntax and semantics. By combining the features of knowledge representation and reasoning of description logic and action theory for multi-agent interaction, our logic is effective and significant both for static and dynamic environment. On the static side, we employ description logic for the representation and reasoning of beliefs and goals. On the dynamic side, we adopt the object-oriented method to describe actions. The description of each action is composed of models, preconditions and effects. It can reflect the real changes of the world and is very suitable for belief revision and action planning. Based on our logic, we investigate how to form joint goal for multi-agent cooperation. In particular, we propose an effective dynamic planning algorithm for scheduling sub goals, which is greatly crucial for coordinating multi-agent behaviors.

Internet Intelligent Platform-AGrIP

In information age, both governments and enterprises need intelligent platform to provide dynamic, real-time intelligent information processing service. This paper describes an Agent Grid based Intelligent Platform AGrIP to support service layer information processing. AGrIP integrates a comprehensive set of tools to compose a whole platform that will enable straightforward management of large-scale information from Internet and then apply data mining, case base reasoning and expert system to aid practical enterprise applications.

Distributed computing environment: Approaches and applications

In information systems in particular business Intelligence systems, for data produced at physically distributed locations most traditional data mining approaches require data to be transmitted to a single location for centralized processing and mining. However, the continual transmission of a large number of data to a central location must be impractical and expensive. Thus, distributed and parallel data mining algorithms and applications were rapidly developed. The paper surveys the-state-of-the art in approaches and applications of distributed computing environment. The goal is to summarize a brief introduction to this field with pointers for further exploration.

AGrIP: an agent grid intelligent platform for distributed system integration

Grid and agent communities both develop concepts and mechanisms for open distributed systems, albeit from different perspectives. How to apply the agent technology in Grid infrastructure to facilitate distributed system integration (virtual organization formation) becomes an interest topic in recent years. In this paper, we investigate the issue and present an agent grid intelligent platform, called AGrIP, from the implementation point of view. AGrIP is based on the FIPA-compliant multi-agent environment MAGE and has four different layers, which apply the agent interface services for interaction and communication. It can integrate legacy systems and enables interoperability between distributed heterogeneous systems (organizations), expedite dissemination and retrieval of data, automate operator tasks and support the decision-making process. Up to date, it has been applied to several practice projects as the robust infrastructure. We will expound its recent application in Agent Grid Based City Emergency Inter-Act Project as an illustration.

Agent Grid Collaborative Schema Based on Policy

Agent should work collaboratively to solve complex task. Policy plays an important role in agent grid collaboration and improves the collaborative schema reusability and scalability. This paper studies the policy concept model and formal policy representation to describe the action policy, goal policy and utility policy. Then the general agent grid collaborative schema is defined based on policy. Furthermore in a hierarchical view the behavior, agent, agent society and agent grid is introduced. Ultimately, based on policy we illustrate an oil supply system experiment.

Hierarchical Policy for Agent Grid Collaboration

Agent grid is a heterogeneous, dynamic, open and varying software system, which is expected to provide intelligent collaboration and services sharing for users. Policy plays an important role in agent grid collaboration. This paper studies the complex collaboration model in agent grid environment and use policy to guide the complex system behaviors. Using formal policy representation language we define the agent actions, goals and utilities from low level to high level. And based on policy-driven we build an agent grid collaborative platform AGrlP.

A DDL based formal policy representation

This paper introduces the policy uniform concept model and defines the general policy specification language-GPSL based on the formal foundation of DDL. Compared with other policy languages, GPSL describes the general concept model providing the support for the policies including action, goal, utility and so on. Moreover GPSL provides the support for complex action composition and description to define complex system behavior. To resolve the policy conflicts we use meta-policy to illustrate the policy relationships and owl to define policy ontology. Finally this paper analyzes the policy implementation in autonomic computing system.

Parallel web spiders for cooperative information gathering

Web spider is a widely used approach to obtain information for search engines. As the size of the Web grows, it becomes a natural choice to parallelize the spider’s crawling process. This paper presents a parallel web spider model based on multi-agent system for cooperative information gathering. It uses the dynamic assignment mechanism to wipe off redundant web pages caused by parallelization. Experiments show that the parallel spider is effective to improve the information gathering performance within an acceptable interaction efficiency cost for controlling. This approach provides a novel perspective for the next generation advanced search engine.