Logic

Application of Agents and Intelligent Information by Vijayan Sugumaran

By Vijayan Sugumaran

"Intelligent agent know-how is rising as probably the most vital and quickly advancing parts. Researchers are constructing a couple of agent-based functions and multi-agent structures in a number of fields, equivalent to: digital trade, provide chain administration, source allocation, clever production, mass customization, business keep watch over, details retrieval and filtering, collaborative paintings, cellular trade, determination aid, and laptop video games. software of brokers and clever info applied sciences offers a superb choice of the newest study linked to clever brokers and data applied sciences. software of brokers and clever details applied sciences offers a finished research of concerns on the topic of agent layout, implementation, integration, deployment, assessment, and enterprise price. This ebook provides examine effects and alertness of brokers and different clever details applied sciences in quite a few domain names. program of brokers and clever details applied sciences deals the clever info applied sciences that might very likely revolutionize the paintings surroundings in addition to social computing. "

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The next helpful software agent will be more akin to a butler who anticipates all of the Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. TEAM LinG Evoluaton and Mutaton n Push Technologes  user’s needs today, tomorrow, and in the future. This agent will change as the user changes and is therefore referred to as an evolutionary agent. Evolutionary agents will also change because memes (or messages) one agent broadcasts to another will cause the evolutionary agent to mutate.

OABIS semi-automatically identifies data objects in local database schemas that are semantically related to the business terms. Third, our approach creates dynamic mappings between business rules and local database schemas. Static mappings between business terms and data objects in local Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. TEAM LinG OABIS: An Ontology-Based Approach to Busness Rules Sourcng  schemas are infeasible for supply chain systems because the information sources involved may be extremely dynamic, and changes to local schemas may invalidate the mappings.

Is prohibited. TEAM LinG Evoluaton and Mutaton n Push Technologes  their rules with user profiles, data mining, and recommendation systems. ” Data mining (Codd, 1995; Gray & Watson, 1998; Watson & Haley, 1997) may be used to predict a user’s preference based on a user’s history. Collaborative filtering and recommendation systems are often used to suggest content, such as a list of books a user might want to purchase (Stohr & Viswanathan, 1999). Autonomous agents therefore find cheaper airfares, worthwhile books to purchase, software to support current decisions, stock tips, and other opportunities.

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