ABSTRACT This paper presents TravelPlan, a multiagent ar hite ture to o-operative work between di erent elements (human and/or software) whose main goal is to re ommend useful solutions in the ele troni tourism domain to system users. The system uses di erent types of intelligent autonomous agents whose main hara teristi s are ooperation, negotiation, learning, planning and knowledge sharing. T...

This abstract describes work in developing knowledge base editing and debugging tools for the Multimission VICAR Planner (MVP) system. MVP uses Artificial Intelligence (AI) Planning techniques to automatically construct executable complex image processing procedures (using models of the smaller constituent image processing subprograms) in response to image processing requests made to the JPL Mu...

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In the current age of recession, Human Resource department of every organization is facing a real challenging task of recruiting right talent peoples who can do the project in different problem domain and complete it within timeline. Now days, we can see huge number of applicants submitting their resumes for any single opening in the organization. So, the main responsibility of any HR Personnel...

As automation of business processes becomes more complex and encompasses less-structured domains, it becomes even more essential that the knowledge used by these processes is verified and accurate. Most application development is facilitated with software tools, but most business rules and expert systems are developed in environments that provide inadequate verification testing. This paper desc...

The problem of automatically reasoning using a relatively large knowledge base containing axioms, deenitions and theorems from a rst-order theory has rarely been approached, because of its inherent complexity. However, mathematicians are able to select and use just the right theorem from an enourmous knowledge base when proving theorems. We demonstrate that a natural, well-motivated and simple ...

Natural language is an ideal mode of interaction and knowledge sharing between intelligent computer systems and their human users. But a major problem that natural language interaction poses is linguistic variation, or the “paraphrase problem”: there are a variety of ways of referring to the same idea. This is a special problem for intelligent systems in domains such as information retrieval, w...

An intelligent robot must have knowledge acquired and maintained either locally or remotely. When a robot needs to recognize an object, it would make a decision based on the information in the knowledge base. Conventional ways to construct the knowledge models, especially during the object recognition process, are quite rigid and not scalable. In this paper, we propose a new flexible recognitio...

Over the past decades, computerized intelligent paradigms have attracted much attention from researchers. Advances in intelligent techniques and approaches, which include neural networks, knowledgebased systems, fuzzy logic, evolutionary algorithms, agent-based techniques, case based reasoning etc, have resulted in many successful applications of these innovative systems. Indeed, applicability ...