Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52525

TitleA software agent distributed system for dynamic load balancing
Author(s)Neves, José
Machado, José Manuel
Costa, Lino
Cortez, P
KeywordsSoftware agents
Blackboard-based systems
Neural networks
Genetic algorithms
Distributed artificial intelligence
Issue date1-Jan-1996
PublisherSOC COMPUTER SIMULATION
CitationNeves, J., Machado, J., Costa, L., & Cortez, P. (1996). A Software Agent Distributed System for Dynamic Load Balancing. In Proceedings of ESM96, European Simulation Multi-Conference, Modelling and Simulation 1996.
Abstract(s)As distributed computer systems become more and more available, its role in science and society necessarily increases, and it will be necessary to consider ways in which these tools can be made to interact effectively. The development of what may be called of social engineering for communities of machines; i.e., the means to set up laws that will force those communities to behave in a certain beneficial way, to have machines controlling and sharing resources under a broadly acceptable doctrine of general goodness. Of interest is the orthogonal problem of formally describing the conditions for an efficient distribution of tasks to processors. A formal semantics is important because a rigorous understanding of how the communication in the system is processed is central to our goals. On the other hand, it will be quite useful to embed a version of the semantics in the machines themselves, so they can use it in their reasoning about their own and others actions. Deriving the rules of public behaviour or the rules of the game by which the machines adapt to a changing world, a logical theory to drive machine interaction emerges. A logical theory or logic program built on the interaction results of a set of software agents, making the MASES (Multi-Agent Sensor Effector System). The MASES design turns out to be highly sensitive, depending on the domain in which the agent interaction was taking place. To capture this sensitiveness and model the system one had to consider and borough concepts from fields such as genetic algorithms, classifier systems, and logic programming.
TypeConference paper
URIhttp://hdl.handle.net/1822/52525
ISBN1565550978
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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