Man, is living in an era that the knowledge is estimated to be doubled in a relatively short time. The fast rate of technology's growth in the "Century of information", is caused by fast growth of communication technologies like the internet which has become one of the best tools for a quick, cheap, effective and vastly supported communication. For an efficient and effective usage of tools and ...

Modeling expert knowledge using "situation-action" rules is not always feasible in knowledge intensive domains involving volatile knowledge (e.g., trading). The explosive search space involved in such domains and its dynamic nature make it extremely difficult to setup a rule base and keep it accurate. An alternative approach suggests that in some domains many of the rules expert use can be deri...

This report presents a design method for decision rules called ARD+. It is an extension of a previously proposed ARD method. In ARD+ the emphasis is put on the gradual refinement of the conceptual model of a knowledge-based system described with attributes. A practical algorithm providing a transition from the ARD+ design to rule design is introduced. Using ARD+ and the algorithm it is possible...

In this paper we present a feasibility study we conducted in a German county in order to assess the potential of a legal knowledge system in the domain of family law. The goals of this project were to describe the actual work processes, to propose optimized processes if needed and to develop a prototype. Our study was based on interviews, on two test cases submitted to clerks and on an online q...

Automatic analysis of poetic rhythm is a challenging task that involves linguistics, literature, and computer science. When the language to be analyzed is known, rule-based systems or data-driven methods can be used. In this paper, we analyze poetic rhythm in English and Spanish. We show that the representations of data learned from character-based neural models are more informative than the on...

Facial expression and hand gesture analysis plays a fundamental part in emotionally rich man-machine interaction (MMI) systems, since it employs universally accepted non-verbal cues to estimate the users’ emotional state. In this paper, we present a systematic approach to extracting expression related features from image sequences and inferring an emotional state via an intelligent rule-based s...

The paper discusses a proposal of a formal description of ARD+ a conceptual design and hierarchical refinement method for knowledge-based systems. Formalization of method syntax is given, as well as description of its semantics. ARD+ is a rework of the classic ARD presented elsewhere, that provides a conceptual design for rule-based systems. ARD+ is based on the concept of gradual design where ...

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). Each neurule is represented as an adaline unit. One way that the neurules can be produced is from symbolic rules by merging the symbolic rules having the same conclusion. In thi...

• Propose an eigendecomposition-based method to select sensors in a high-efficiency way. domain division-based update rules online updating EBRBS for achieving activity recognition more efficiently. Experiments show the proposed has high accuracy and excellent response time. Sensor-based (AR) is core problem with research of smart environments. It has, however, potential provide solutions addre...

In this article, we present the first step of our research work to design a Virtual Assistant for Performers and Stage Directors, able to give a feedback from performances. We use a methodology to automatically construct fuzzy rules in a Fuzzy Rule-Based System that detects contextual emotions from an actor's performance during a show. We collect video data from a lot of performances of the sam...