By considering agents to be a part of their environment, Orseau and Ring's space-time embedded intelligence [10] is a better fit to the real world than the traditional agent framework. However, a self-modifying AG...
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Runtime verification is the process of observing a sequence of events generated by a running system and comparing it to some formal specification for potential violations. We show how the use of a runtime monitor can ...
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ISBN:
(纸本)9780769551852
Runtime verification is the process of observing a sequence of events generated by a running system and comparing it to some formal specification for potential violations. We show how the use of a runtime monitor can greatly speed up the testing phase of a video game under development, by automating the detection of bugs when the game is being played. We take advantage of the fact that a video game, contrarily to generic software, follows a special structure that contains a "game loop";this game loop can be used to centralize the instrumentation and generate events based on the game's internal state. We report on experiments made on a sample of five real-world video games of various genres and sizes, by successfully instrumenting and efficiently monitoring various temporal properties over their execution -including actual bugs reported in the games' bug tracking database in the course of their development.
A scalable, reactive and easy to evolve reasoning mechanism is essential for the success of automated smart environments, augmented with a large number of sensors and actuators. While constraint satisfaction problem (...
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A scalable, reactive and easy to evolve reasoning mechanism is essential for the success of automated smart environments, augmented with a large number of sensors and actuators. While constraint satisfaction problem (CSP) model is applicable for modelling decision making in such environments, the straightforward representation of the model as a CSP leads to a great number of excessive calculations. In this paper, we propose a method of modelling the task as a Dynamic CSP in a way that avoids unnecessary recalculations with new events in the environment. We present a Dependency Graph data structure, which not only allows to reduce CSP search space for every consecutive sensor event by detecting only affected parts of the environment, but also allows to give enough information to users of the system to specify the exact reasons of system's decisions, even with a large number of constraints. We formally prove that partial recalculation of affected parts still keeps the full environment globally satisfied and globally optimal. the evaluation of the system in the living lab showed real-time responses for all events. Additional simulated performance experiments showed that the Dependency Graph approach consistently outperforms the straightforward CSP representation. the experiments also showed that the clusterization of the environment has a noticeable effect on the performance, with highly clusterized environments requiring less computations.
Code maintainability, performance portability and future proofing are some of the key challenges in this era of rapid change in High Performance Computing. Domain Specific Languages and Active Libraries address these ...
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Software Systems usually demand product customization for each client, frequently involving the creation of new components and changes to existing ones, possibly causing maintenance and evolution problems. One of the ...
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First of all,a goal-guiding graphic reasoning approach that based on the predicate/transition system has been proposed for the first-order predicate *** process of reasoning,the premise is separated from the conclusio...
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First of all,a goal-guiding graphic reasoning approach that based on the predicate/transition system has been proposed for the first-order predicate *** process of reasoning,the premise is separated from the conclusion,which has been taken as the beginning of the backward reasoningthat is purposeful and effective as ***,this reasoning approach has been applied in the agriculture expert system to present a method of solving problem,providing a new way for studying the reasoning mechanism of the agriculture expert system.
In order to assist lower-limb disabled people to move independently and conveniently, human support robot (HSR) is under development. As a robot directly assist human beings daily, the capability of understanding user...
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ISBN:
(纸本)9781479959563
In order to assist lower-limb disabled people to move independently and conveniently, human support robot (HSR) is under development. As a robot directly assist human beings daily, the capability of understanding user's intention is very important. A novel method is proposed to recognize user's moving intention according to the information from 4 load sensors embedded in the chair of HSR. Based on experiment, the data features for 9 moving intention were extracted. Combing all the data features, a knowledge base was established for user's intention. For distance-type fuzzy reasoning method (DTFRM), rules were built on the knowledge base which was based on the statistical property of information from load sensors. the DTFRM was applied in this paper to reason user's moving intention. Finally, control experiments were performed to verify the identification performance of this method. the experiment results show that this method can identify user's moving intention based on his action habits. then HSR can carry user to move in the intended direction exactly without any control by hand. the distance-type fuzzy reasoning method is suitable to infer user's intention from information of load sensors caused by user's action.
Decision making for Supplier selection is the practice for a firm to identify, evaluates and contract with suppliers. the supplier selection practice deploys a significant amount of a manufacture's financial resou...
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Decision making for Supplier selection is the practice for a firm to identify, evaluates and contract with suppliers. the supplier selection practice deploys a significant amount of a manufacture's financial resources. In return, manufacturer expects significant benefits from contracting with suppliers offering high value. As Today the average manufacturer spends roughly half its revenue to purchase goods and services. this makes a company's success dependent on their interactions with suppliers. To survive in the intensely competitive global economy, it is often critically important to not only develop existing suppliers but also to discover new suppliers. Many theoretical and logical models have been developed for addressing the supplier selection problem (SSP). this paper focuses on a case-based reasoning (CBR) and fuzzy logic approach which is a recently recommended method for solving the SSP by making use of previous similar situations. Finally this integrated model is illustrated by an example in an existing manufacturing to validate the proposed model.
FCCM based on K-L information regularization is an FCM-type co-clustering model, which is a fuzzy counterpart of the probabilistic Multinomial Mixture Models (MMMs). In MMMs and other FCM-type co-clustering models, wh...
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FCCM based on K-L information regularization is an FCM-type co-clustering model, which is a fuzzy counterpart of the probabilistic Multinomial Mixture Models (MMMs). In MMMs and other FCM-type co-clustering models, whose goal is to simultaneously partition objects and items considering their mutual cooccurrence information, memberships of objects are forced to be exclusive in a similar way to FCM while item-memberships only represent the relative typicality in each cluster and are not forced to be exclusive. In this paper, a new co-clustering model is proposed by introducing the penalty for avoiding cluster overlapping in sequential fuzzy cluster extraction, which brings exclusive partition of items.
Stream reasoning is an emerging research field focused on dynamic processing and continuous reasoning over huge volumes of streaming data. Finding the right trade-off between scalability and expressivity is a key chal...
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