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The Ponder Policy Specification Language
- LECTURE NOTES IN COMPUTER SCIENCE
, 2001
"... The Ponder language provides a common means of specifying security policies that map onto various access control implementation mechanisms for firewalls, operating systems, databases and Java. It supports obligation policies that are event triggered conditionaction rules for policy based management ..."
Abstract
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Cited by 499 (28 self)
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The Ponder language provides a common means of specifying security policies that map onto various access control implementation mechanisms for firewalls, operating systems, databases and Java. It supports obligation policies that are event triggered conditionaction rules for policy based management
Composition of Qualitative Adaptation Policies
"... In a highly dynamic environment, software systems requires a capacity of self-adaptation to fit the environment and the user needs evolution, which increases the software architecture complexity. Despite most current execution platforms include some facilities for handling dynamic adaptation, curren ..."
Abstract
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Cited by 12 (3 self)
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, current design methodologies do not address this issue. One of the requirement for such a design process is to describe adaptation policies in a composable and qualitative fashion in order to cope with complexity. This paper introduces an approach for describing adaptation policies in a qualitative way
Markov games as a framework for multi-agent reinforcement learning
- IN PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING
, 1994
"... In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function. In this solipsistic view, secondary agents can only be part of the environment and are therefore fixed in their behavior ..."
Abstract
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Cited by 601 (13 self)
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In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function. In this solipsistic view, secondary agents can only be part of the environment and are therefore fixed
Finite-time analysis of the multiarmed bandit problem
- Machine Learning
, 2002
"... Abstract. Reinforcement learning policies face the exploration versus exploitation dilemma, i.e. the search for a balance between exploring the environment to find profitable actions while taking the empirically best action as often as possible. A popular measure of a policy’s success in addressing ..."
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Cited by 817 (15 self)
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Abstract. Reinforcement learning policies face the exploration versus exploitation dilemma, i.e. the search for a balance between exploring the environment to find profitable actions while taking the empirically best action as often as possible. A popular measure of a policy’s success in addressing
Draft Adaptation Policy Guide
, 2012
"... The Adaptation Policy Guide (APG) has benefited from the ideas, assessment, feedback, and support from members of the APG Advisory Committee, as well as many others who have shared their knowledge so far. ..."
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The Adaptation Policy Guide (APG) has benefited from the ideas, assessment, feedback, and support from members of the APG Advisory Committee, as well as many others who have shared their knowledge so far.
Coverage Control for Mobile Sensing Networks
, 2002
"... This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functio ..."
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Cited by 582 (49 self)
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functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.
Geography-informed Energy Conservation for Ad Hoc Routing
- ACM MOBICOM
, 2001
"... We introduce a geographical adaptive fidelity (GAF) algorithm that reduces energy consumption in ad hoc wireless networks. GAF conserves energy by identifying nodes that are equivalent from a routing perspective and then turning off unnecessary nodes, keeping a constant level of routing fidelity. GA ..."
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Cited by 1045 (21 self)
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We introduce a geographical adaptive fidelity (GAF) algorithm that reduces energy consumption in ad hoc wireless networks. GAF conserves energy by identifying nodes that are equivalent from a routing perspective and then turning off unnecessary nodes, keeping a constant level of routing fidelity
A Fast File System for UNIX
- ACM Transactions on Computer Systems
, 1984
"... A reimplementation of the UNIX file system is described. The reimplementation provides substantially higher throughput rates by using more flexible allocation policies that allow better locality of reference and can be adapted to a wide range of peripheral and processor characteristics. The new file ..."
Abstract
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Cited by 565 (6 self)
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A reimplementation of the UNIX file system is described. The reimplementation provides substantially higher throughput rates by using more flexible allocation policies that allow better locality of reference and can be adapted to a wide range of peripheral and processor characteristics. The new
Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,
, 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
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Cited by 622 (2 self)
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under government sponsorship are encouraged to express their own judgment freely, this report does not necessarily represent the official opinion or policy of the government. redesign are not fully adequate to meet the problems encountered in their application. Especially troublesome is the paucity
Adaptive Policies Community Case Study: Participatory Watershed Management in
, 2008
"... Prepared for The Adaptive Policies Project ..."
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