Transactional Agents [electronic resource] : Towards a Robust Multi-Agent System / edited by Khaled Nagi.
Material type: TextSeries: Lecture Notes in Computer Science ; 2249Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2001Description: XVI, 208 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540453543Subject(s): Computer science | Computer Communication Networks | Software engineering | Database management | Information storage and retrieval systems | Information systems | Artificial intelligence | Computer Science | Database Management | Artificial Intelligence (incl. Robotics) | Computer Communication Networks | Software Engineering | Information Storage and Retrieval | Information Systems Applications (incl.Internet)Additional physical formats: Printed edition:: No titleDDC classification: 005.74 LOC classification: QA76.9.D3Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK5330 |
Application Scenario -- Overview of Agent Technology -- Overview of Transaction Processing -- Proposed Approach: Transactional Agents -- The Agent Transaction Model -- Robustness Guaranteeing Mechanisms -- Interacting with the Execution Agent -- Simulation Study -- Simulation Results -- Summary and Future Work.
The term “agent” is one of those catchwords that mean widely differing things to different people. To telecommunications people it is little more than a mobile piece of code that may be executed at any place. At the other extreme, AI people often associate with agents human-like traits such as social behavior. In between, software people view agents as fairly self-contained pieces of software that, at the low end, pretty much act like objects and, at the high end, more or less auto- mously decide when and how to react to stimuli or proactively initiate effects that can be observed from their environment. Software agents are particularly important when it comes to distributed en- ronments. There, much of the communication takes place asynchronously, that is the sequence of events cannot be planned ahead in all detail. Instead, agents are given rules as to how to interpret the current situation and, given a common goal, so that they adjust their response accordingly.
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