Agent-Based Defeasible Control in Dynamic Environments by John-Jules Ch. Meyer, Jan Treur PDF

By John-Jules Ch. Meyer, Jan Treur

ISBN-10: 9048161096

ISBN-13: 9789048161096

ISBN-10: 9401717419

ISBN-13: 9789401717410

This quantity, the seventh quantity within the DRUMS instruction manual sequence, is a part of the aftermath of the profitable ESPRIT venture DRUMS (Defeasible Reasoning and Uncertainty administration platforms) which happened in phases from 1989- 1996. within the moment degree (1993-1996) a piece package deal was once brought dedicated to the subjects Reasoning and Dynamics, overlaying either the subjects of "Dynamics of Reasoning", the place reasoning is seen as a procedure, and "Reasoning approximately Dynamics", which has to be understood as relating how either designers of and brokers inside of dynamic structures may possibly cause approximately those structures. the current quantity offers paintings performed during this context prolonged with a few paintings performed by means of extraordinary researchers open air the venture on comparable concerns. whereas the former quantity during this sequence had its concentrate on the dynamics of reasoning seasoned­ cesses, the current quantity is extra all for "reasoning approximately dynamics', viz. how (human and synthetic) brokers cause approximately (systems in) dynamic environments with a view to keep an eye on them. specifically we ponder modelling frameworks and familiar agent versions for modelling those dynamic platforms and formal ways to those structures resembling logics for brokers and formal skill to cause approximately agent­ established and compositional platforms, and motion & switch extra typically. We take this chance to say that we have got very friendly reminiscences of the undertaking, with its vigorous workshops and different conferences, with the various websites and researchers concerned, either inside of and outdoors our personal paintings package.

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4 Composition of knowledge structures Information types can be composed of more specific information types, following the principle of compositionality discussed above. Similarly, knowledge bases can be composed of more specific knowledge bases. The compositional structure is based on the different levels of knowledge abstraction that are distinguished, and results in information and knowledge hiding. 5 Composition of information types The relations between the information types distinguished above and generic information types distinguished for diagnosis, are depicted below in Figures 12 and 13.

M. JONKER AND J. 1 Identification of processes at different levels of abstraction Processes can be described at different levels of abstraction; for example, the process for the multi-agent system as a whole, processes for individual agents and the external world, processes for task-related components of individual agents. Different views can be taken: a task perspective, and a multi-agent perspective. The task perspective refers to the view in which the processes needed to perform an overall task are distinguished.

M. JONKER AND J. TREUR transferred to the output interface of Hypothesis Validation (20), and from there to the output interface of Diagnostic Reasoning (21 ). The new observation to be performed, is transferred to the component External World (22), where it is actually performed (23). The observation result (not noise) is transferred to the component Diagnostic Reasoning (24 ), and further down to Hypothesis Validation (25) and Hypothesis Evaluation (26). This time this component is able to derive that one of the specific hypotheses (broken engine) is true (27).

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Agent-Based Defeasible Control in Dynamic Environments by John-Jules Ch. Meyer, Jan Treur

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