Artificial Intelligence （AI） is generally considered to be a subfield of computer science, that is concerned to attempt simulation, extension and expansion of human intelligence. Artificial intelligence has enjoyed ...
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Artificial Intelligence （AI） is generally considered to be a subfield of computer science, that is concerned to attempt simulation, extension and expansion of human intelligence. Artificial intelligence has enjoyed tremendous success over the last fifty years. In this paper we only focus on visual perception, granular computing, agent computing, semantic grid. Human-level intelligence is the long-term goal of artificial intelligence. We should do joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. A new cross discipline intelligence science is undergoing a rapid development. Future challenges are given in final section.
We encode a simplified version of the Canetti and Krawczyk (2001) formalism using Asynchronous Product Automata (APA). We then use a model checker tool, Simple Homomorphism Verification Tool (SHVT), to perform statesp...
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Bilevel decision addresses the problem in which two levels of decision makers, each tries to optimize their individual objectives under constraints, act and react in an uncooperative, sequential manner. Such a bilevel...
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intelligent tutoring systems have being extensively researched, and are viewed as cost-effective alternatives to traditional education. However, it has been long recognized that development of such systems is labor-in...
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This paper proposes a multi-feature constrained method (MFC) to acquire co-referent relations from large-scale Chinese corpora. The MFC has two phases: candidate relations extraction and verification. The extraction p...
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In this paper, a novel supervised information feature compression algorithm based on divergence is set up. Firstly, according to the information theory, the concept and its properties of the divergence, i.e. average s...
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Default description logics are extensions of description logics by Reiter's default logic in order to represent and reason about non-monotonic knowledge. A default says that if its prerequisite is provable, and th...
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ISBN:
(纸本)9781424404759
Default description logics are extensions of description logics by Reiter's default logic in order to represent and reason about non-monotonic knowledge. A default says that if its prerequisite is provable, and the negation of its justification is not provable, then its consequence is provable. As a method of using defaults in a reverse way, reversing inference rules are introduced to default description logics. For a default, its reversing inference rule says if the negation of the consequence of the default is provable, then the negation of the prerequisite or the negation of the justification of the default is provable. Then a default description theory is extended to an extended default description theory with reversing inference rules and the definition of extensions of the extended default description theory is given. A default description theory can infer statements by using its defaults. However, an extended default description theory can infer statements not only by using its defaults, but by using its reversing inference rules. The relations between default description theories and their extended default description theories are discussed. For a default description theory without extensions, its extended default description theory may have extensions.
This paper proposed a practical approach to personalized tutoring planning by exploiting existing tutoring resources (e.g., a book, a courseware). More exactly, it does not build an instructional course from scratch -...
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Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-op er ability applications. Many researchers propose their composition approach based on planning t...
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