عنوان البحث(Papers / Research Title)
Agency Systems
الناشر \ المحرر \ الكاتب (Author / Editor / Publisher)
عباس محسن عبد الحسين البكري
Citation Information
عباس,محسن,عبد,الحسين,البكري ,Agency Systems , Time 6/14/2011 5:19:45 AM : كلية تكنولوجيا المعلومات
وصف الابستركت (Abstract)
Agency Systems
الوصف الكامل (Full Abstract)
Agency Systems(Standardization & Architecture)
Dr. Abbas M. Al- Bakry Babylon University-College of Science Dep. of Computer Science
Email: abbasmoh67@yahoo.com
ABSTRACT
:-
In this paper, we describe a principled methodology of agent-based systems architecture and standardization. We illustrate the use of this methodology on an example of a supply chain management system. Using the methodology, it is possibleto assess architectural decisions on software qualities such as performance, modifiability, and security. The focus for the methodology is risk identification, evaluation, and mitigation in the early stages of system design. We describe a test bed to analyze and evaluate agent-based systems in manufacturing enterprises that is based in part on this methodology.
This paper provides an overview of the standardization effort in the area of specifying standards for heterogeneous, interpreting agent-based systems. We describe the types of software agents, which are of interest. Keywords Intelligent agent, Agency, Protocols, Multi-Agent, Standardization, Agent Architecture.
INTRODUCTION
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The amount of information available on the World Wide Web is increasing on a daily basis. General-purpose search engines and browsers provide valuable assistance to users in locating general information relevant to their needs. However, finding information for a narrow query in a specific domain has become more and more difficult with the growth of the Web, and thus frequently resembles a search for a needle in a haystack.Individuals spend more and more time filtering out irrelevant information returned from general purpose search engines while searching the Web. It is not uncommon for a user to obtain thousands of hits, which match her query but belong to irrelevant domains. This is termed the low precision problem, as defined in information retrieval[Sal83]. Many approaches have been suggested to tackle the low precision problem on the Web [Ben99], [Goo03], [Ben99], [Cha99]. One such approach is to restrict the search into a pre-defined domain. Several searches service, most notably Yahoo! [Mcc79], allow users to specify the domain in which to evaluate the query. Such a restriction narrows the search space, hence increases the precision. However, the domain hierarchy is manually (or at best semi manually) consuming, and coverage is extremely limited.
Major search engines, such as AltaVista, index about two orders of magnitude more Web pages than Yahoo! [Sea03]. Intelligent agents are a powerful Artificial Intelligence technology, which shows considerable promise as a newparadigm for mainstream software development. Agents offer new ways of abstraction, decomposition, and organization that fit well with our natural view of the world and agent oriented programming is often considered a natural successor to object oriented programming [Exc01]. It has the potential to change the way we design, visualize, and build software in that agents can naturally model “actors” – real world entities that can show autonomy and proactiveness. Additionally, social agents naturally model (human)organizations ranging from business structure & processes to military command structures. A number of significant applications utilizing agent technology [Cha99]have already been developed, many of which are decidedly non-trivial. An intelligent agent is one, which is able to make rational decisions, i.e., blending proactiveness and reactiveness, showing rational commitment to decisions made, and exhibiting flexibility in the face of an uncertain and changing environment.
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