This paper presents a new model to incorporate decision theory into Graphplan framework, which enables our planner to handle uncertainty and make decision to choose the optimal one among a set of hypothesis valid plan...
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This paper presents a new model to incorporate decision theory into Graphplan framework, which enables our planner to handle uncertainty and make decision to choose the optimal one among a set of hypothesis valid plans. This planer, called UTDP is tested on several experimental domains. And the experimental results show that UTGP is sound and efficient and performs better than the famous probabilistic planner Buridan.
Fuzzy cognitive maps (FCMs) can represent and reason causal knowledge with stronger semantics. And the causal knowledge widely exists in knowledge grid. To provide information services with stronger semantics in Knowl...
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Fuzzy cognitive maps (FCMs) can represent and reason causal knowledge with stronger semantics. And the causal knowledge widely exists in knowledge grid. To provide information services with stronger semantics in knowledge Grid, we need to know the reasoning mechanism and the characteristics of FCMs. In this paper, we have proved that the reasoning process of FCMs is a discrete topological semi- dynamic system. This theory can help us analyze the reasoning process and find the new characteristics of FCMs, which can guide us using FCMs to provide intelligent information services flexibly in knowledge Grid.
Developing adaptive, rich-media, eLearning courses tends to be a complex, highly-expensive and time-consuming task. A typical adaptive eLearning course will involve a multi-skilled development team of technologists, i...
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Search engines on the Web are valuable tools for searching information according to a user's interests whether an individual or a software agent. In the present article we describe the design and the operation mod...
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Search engines on the Web are valuable tools for searching information according to a user's interests whether an individual or a software agent. In the present article we describe the design and the operation mode of SpiderServer, a metasearch engine used for the submission of a query followed by the retrieving of results from few popular search engines. We have divided the entire operation of this metaserch engine in two phases: the formation of the query and the parsing of the results. There are two files for every search engine describing the two phases respectively, that is, the way in which the user's query will have to be modified in order to be accepted by the specific search engine and then, the methodology that SpiderServer must follow in order to parse the results from the specific search engine. From the moment these two files exist, it is relatively easy to add a new search engine to the existing system. The ultimate goal is to show that we are able to construct systems that can retrieve information from sources for which they have not been programmed or from sources whose query interface and presentation of results changes quite often.
Pervasive computing environments need to exhibit highly adaptive behavior to meet the changing task requirements and operational context of visiting mobile users. However this must be balanced with the need of resourc...
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Pervasive computing environments need to exhibit highly adaptive behavior to meet the changing task requirements and operational context of visiting mobile users. However this must be balanced with the need of resource owners to meet their goals in administering how users use their resources. This presents challenges of how to manage adaptive systems and how such management should be exercised by people, both average pervasive computing users and administrators of pervasive computing resources. This paper presents some of the issues involved in reconciling dynamic user-centric adaptation with the management of autonomic systems to meet high-level management policies. It discusses our architectural approach and presents some initial research results in addressing these issues.
Resources on the Web have direct and hidden relations. Direct relations mean the visible link between two resources like hyperlinks. Direct relations are easy to discover while hidden relations are not. Current discov...
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Resources on the Web have direct and hidden relations. Direct relations mean the visible link between two resources like hyperlinks. Direct relations are easy to discover while hidden relations are not. Current discovery methods are mostly based on the text learning and user feedback methods. The text contents are not fit for inference and they are also lack of semantics. The Web pages are annotated with ontologies in semantic Web. The annotations are useful for inference. We propose a framework for resource association discovery in semantic Web. The framework uses the annotation for inference and the annotation hierarchy can be solved by mapping different ontologies. The experiment shows the satisfied results. Finally, the conclusion and future work are discussed
The use of computational-intelligence-based techniques in the optimization of agent initial positions in land combat simulations is studied. A novel method for the reduction of support vectors in the support vector ma...
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The use of computational-intelligence-based techniques in the optimization of agent initial positions in land combat simulations is studied. A novel method for the reduction of support vectors in the support vector machine (SVM) is presented. The optimization on the width of the Gaussian kernel function and the combination of the SVM with the radial basis function neural network are performed in the proposed method. Simulation results show that the proposed method can improve the running efficiency drastically compared with that using the traditional SVM with the same precision. We also summarize and present some experiences and trends in the study on the optimization problem in land combat simulation.
The present research focuses on the development of an intelligent, computer-based tutoring model for selecting problems in domains where multiple skills are needed to solve a problem and the reasons for errors are not...
The present research focuses on the development of an intelligent, computer-based tutoring model for selecting problems in domains where multiple skills are needed to solve a problem and the reasons for errors are not easily diagnosed. In this paper we report on the development and evaluation of the Mental Rotation Tutors and the intelligent models driving the problem selection engine or “domain reasoner”. The domain reasoner evaluated each student based upon seven different core skills and chose the next problem based upon the student's level of proficiency in all seven areas. Two versions of the tutor were developed. The first versions targeted improving the student's ability to infer what combination of rotations were required to go from one view to another. The second version targeted improving the student's ability to apply a provided set of rotations to an object and report the final orientation. The results of two successive experiments demonstrated that students with low spatial ability derived the most measurable benefit from interacting with the tutors. The tutors also successfully diagnosed students' skill levels and provided problems that were appropriate to each student's current level of proficiency.
In this paper, firstly, processes of classical inference are reviewed as granular reasoning from a point of view of reconstructing Kripke-style models with granularity. The essential point of the reconstruction is tha...
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In this paper, firstly, processes of classical inference are reviewed as granular reasoning from a point of view of reconstructing Kripke-style models with granularity. The essential point of the reconstruction is that some possible worlds are amalgamated to generate granules of worlds and vice versa. It is also called zoom reasoning systems. Then, the idea is applied for fuzzy reasoning processes by considering fuzzily granularized possible worlds. There linguistic truth values with linguistic hedges can be naturally introduced.
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