M. J. Hinchey

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NASA exploration missions increasingly rely on the concepts of autonomic computing, exploiting these to increase the survivability of remote missions, particularly when human tending is not feasible. This paper presents initial results of long-term research targeted at the design and implementation of prototype models for future Voyager-like missions that(More)
We aim at identifying the content and design principles of KnowLang, a new formal language for knowledge representation in a particular class of autonomic systems termed ASCENS. Autonomic Service-Component Ensembles (ASCENS) are multi-agent systems formed as mobile, intelligent and open-ended swarms of special autonomic service components capable of local(More)
Executive Summary In the course of the first year of the ASCENS WP3, we studied modern approaches to knowledge representation and knowledge management in intelligent systems. Well employed knowledge helps such systems become aware of situations, recognize states and eventually respond to changes. The great challenge is to decide on the mechanism such(More)
We seek inspiration for self-managing systems from (obviously, pre-existing) biological mechanisms. Autonomic Computing (AC), a self-managing systems initiative based on the biological metaphor of the autonomic nervous system, is increasingly gaining momentum as the way forward for integrating and designing reliable systems, while agent technologies have(More)
This paper presents the development and implementation of a wavelet based multiresolution proportional integral derivate (MRPID) controller for the temperature control of ambient air of battery storage system of hybrid electric vehicle. In the proposed MRPID controller, the discrete wavelet transform (DWT) is used to decompose the error between actual and(More)
Self-adaptation is the ability of a system to adapt its behavior and/or computational structures to changes in the execution environment. The paradigm requires that the system engages in various interactions where important structural and dynamic aspects of the environment are perceived. In this paper, we present an approach to implementing self-adaptation(More)
Intelligent systems are capable of AI exhibited via knowledge representation and reasoning, which helps to connect abstract knowledge symbols to real-world meanings. This paper presents a formal language for knowledge representation called KnowLang. The language implies a multi-tier specification model emphasizing knowledge corpuses, knowledge base(More)