Logic

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

By John-Jules Ch. Meyer, Jan Treur

This quantity, the seventh quantity within the DRUMS guide sequence, is a part of the aftermath of the winning ESPRIT undertaking DRUMS (Defeasible Reasoning and Uncertainty administration platforms) which happened in phases from 1989- 1996. within the moment level (1993-1996) a piece package deal was once brought dedicated to the subjects Reasoning and Dynamics, masking either the subjects of "Dynamics of Reasoning", the place reasoning is considered as a approach, and "Reasoning approximately Dynamics", which needs to be understood as relating how either designers of and brokers inside dynamic structures may perhaps cause approximately those structures. the current quantity provides paintings performed during this context prolonged with a few paintings performed by way of striking researchers outdoors the undertaking on similar concerns. whereas the former quantity during this sequence had its specialize in the dynamics of reasoning professional­ cesses, the current quantity is extra taken with "reasoning approximately dynamics', viz. how (human and synthetic) brokers cause approximately (systems in) dynamic environments with a purpose to keep an eye on them. specifically we think of modelling frameworks and standard agent versions for modelling those dynamic platforms and formal methods to those platforms corresponding to logics for brokers and formal ability to cause approximately agent­ dependent and compositional platforms, and motion & switch extra often. We take this chance to say that we have got very friendly memories of the undertaking, with its vigorous workshops and different conferences, with the various websites and researchers concerned, either inside and outdoors our personal paintings package.

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Extra info for Agent-Based Defeasible Control in Dynamic Environments

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The results of this process are a list of one or more observations to be performed (Selected Observations). The process Hypothesis Evaluation, involves evaluating one or more hypotheses (Target Domain Hypotheses) on the basis of information on observations performed (Assumption Domain Info). The result is an evaluation of the hypotheses (Epistemic Domain Hypotheses) on which evaluation focussed. T. M. JONKER AND J. 3 Specification of abstraction levels The identified levels of process abstraction are modelled as abstraction/specialisation relations between components at adjacent levels of abstraction: components may be composed of other components or they may be primitive.

Its task control focus and extent are used to focus the reasoning process in the same way as the task control focus and extent are used to focus the reasoning in active components. Links can be either awake (in which case information is transferred as soon as it has become available), uptodate (in which case information has just been transferred) or idle. A link or component in state awake remains in this state, also if nothing new can be done (in this way they are stand-by). A component in state active and link in state uptodate becomes idle as soon as no new information can be derived or transferred (termination).

This information is transferred to the component Hypothesis Determination (2), where, based on the taxonomy of hypotheses, two (abstract) hypotheses to be validated (electricity problem, cooling problem) are determined (3). These focus hypotheses are transferred to the component Hypothesis Validation ( 4), and within this component to both the components Observation Determination and Hypothesis Evaluation (5). In the latter component they serve as targets: the reasoning process within the component is limited to deriving these outputs only; however, in the beginning there is not enough observation information available to derive any of these targets.

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