Searching for authors named "Ioannis Hatzilygeroudis" – sorted by Relevance.
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Updating a Hybrid Rule Base with Changes To Its Symbolic Source Knowledge
- …Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist (adaline unit) representation. One way that neurules (target knowledge) can be produced is by converting symbolic rules (source knowledge). However, source knowledge may change, so that updating corres…
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Papers
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Combinations of Case-Based Reasoning with Other Intelligent Methods
- …Abstract. Case-based reasoning is a popular approach used in intelligent systems. Whenever a new case has to be dealt with, the most similar cases are retrieved from the case base and their encompassed knowledge is exploited in the current situation. Combinations of case-based reasoning with other i…
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Integrating Hybrid Rule-Based with Case-Based Reasoning
- …In this paper, we present an approach integrating neurule-based and case-based reasoning. Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist representation (adaline unit).…
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Neurosymbolic approaches for knowledge representation in expert systems
- …Abstract. In this paper, we first present and compare existing categorization schemes for neuro-symbolic approaches. We then stress the point that not all hybrid neuro-symbolic approaches can be accommodated by existing categories. Such a case is rule-based neuro-symbolic approaches that propose a u…
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Knowledge Representation Requirements for Intelligent Tutoring Systems
- …Abstract. In this paper, we make a first effort to define requirements for knowledge representation (KR) in an ITS. The requirements concern all stages of an ITS’s life cycle (construction, operation and maintenance), all types of users (experts, engineers, learners) and all its modules (domain know…
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Fuzzy-Evolutionary Synergism in an Intelligent Medical Diagnosis System
- …Abstract. In this paper, we present the design, implementation and evaluation of HIGAS, a hybrid intelligent system that deals with diagnosis and treatment consultation of acid-base disturbances based on blood gas analysis data. The system mainly consists of a fuzzy expert system that incorporates a…
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PASS: An Expert System with Certainty Factors for Predicting Student Success
- …Abstract. In this paper, we present an expert system, called PASS (Predicting Ability of Students to Succeed), which is used to predict how certain is that a student of a specific type of high school in Greece will pass the national exams for entering a higher education institute. Prediction is made…
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To be published in Z. Ma (Ed.), “Web-Based Intelligent e-Learning Systems: Technologies and Applications”, Idea Group Inc., 2005. Knowledge Representation Intelligent Educational Systems
- …In this chapter, we deal with knowledge representation in intelligent educational systems (IESs). We make an effort to define requirements for knowledge representation (KR) in an IES. The requirements concern all stages of an IES’s life cycle (construction, operation and maintenance), all types of u…
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Construction of Neurules from Training Examples: A Thorough Investigation
- …Abstract. Neurules are a type of hybrid rules combining a symbolic and a connectionist representation. A neurule base consists of a number of autonomous adaline units (neurules), in contrast to existing neuro-symbolic knowledge bases. A neurule base is constructed from training examples. To overcome…
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