Transactional Agents Towards a Robust Multi-Agent System /
Nagi, Khaled.
Transactional Agents Towards a Robust Multi-Agent System / [electronic resource] : by Khaled Nagi. - 1st ed. 2001. - XVI, 208 p. online resource. - Lecture Notes in Computer Science, 2249 1611-3349 ; . - Lecture Notes in Computer Science, 2249 .
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.
9783540453543
10.1007/3-540-45354-7 doi
Data structures (Computer science).
Information theory.
Artificial intelligence.
Computer networks .
Database management.
Software engineering.
Information storage and retrieval systems.
Data Structures and Information Theory.
Artificial Intelligence.
Computer Communication Networks.
Database Management.
Software Engineering.
Information Storage and Retrieval.
QA76.9.D35 Q350-390
005.73 003.54
Transactional Agents Towards a Robust Multi-Agent System / [electronic resource] : by Khaled Nagi. - 1st ed. 2001. - XVI, 208 p. online resource. - Lecture Notes in Computer Science, 2249 1611-3349 ; . - Lecture Notes in Computer Science, 2249 .
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.
9783540453543
10.1007/3-540-45354-7 doi
Data structures (Computer science).
Information theory.
Artificial intelligence.
Computer networks .
Database management.
Software engineering.
Information storage and retrieval systems.
Data Structures and Information Theory.
Artificial Intelligence.
Computer Communication Networks.
Database Management.
Software Engineering.
Information Storage and Retrieval.
QA76.9.D35 Q350-390
005.73 003.54