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The paper presents the question-answer approach to programming of human-computer interactions (HCI) during the collaborative development of software intensive systems. The effectiveness of the common work can be increased essentially if the human part of the work will be fulfilled as an execution of a special kind of programs by “human processors” which use the models of question-answer reasoning...
The subject of artifact or tool use is considered in many fields to be a vital area of research in the study of general human competence. Recently in artificial intelligence, formalizations of the mental attitudes of intentional agents have been extended to include agent capabilities with respect to artifacts or tools. We consider understanding how these individual capabilities are learned and how...
Due to the vagueness of spatial direction relations and the limitation of current models, a fuzzy description model of direction relations based on adaptive sampling is presented. According to fuzzy theory, a new membership function is proposed as the reference model which is a basic fuzzy description model of 4 directions. And two objects are adaptively partitioned and sampled, thus the detailed...
In this paper, a framework is proposed for representing knowledge about 3-D space in terms of the functional support and containment relationships, corresponding approximately to the prepositions “on” and “in”. A perceptual model is presented which allows for appraising these qualitative relations given the geometries of objects; also, an axiomatic system for reasoning with the relations is put forward...
Robots are expected to co-operate with humans in day-to-day interaction. One aspect of such co-operation is behaving proactively. In this paper, our robot will exploit the visuo-spatial perspective-taking of the human partner not only from his current state but also from a set of different states he might attain from his current state. Such rich information will help the robot in better predicting...
This article describes our work in progress and deals with methods and approaches for handling internal complexity emerging in highly realistic models of human behaviour. We present a new modelling approach to human decision making along with a conceptual design of several methods targeting selected aspects of complexity, such as the combinatorial explosion of action alternatives in rich environments,...
Most researchers agree that emotions are organized, meaningful, generally adaptive systems functioning as a whole that include expressive and instrumental behaviour, patterned physiological processes, cognitions and subjective feelings. This paper reviewed the mechanism of the emotional contagion and key moderator variables, besides, the authors presented the future research directions based on the...
Intelligent machining means a blend between machining processes (turning, milling, drilling, grinding) and sensors, intelligent monitored by hardware and software applications dedicated to this task. From hardware point of view, today the sensors are incorporated by default in all machining equipments, but the intelligence is mostly human. Further researches try to replace the human decisions with...
In this paper we present an account of the problems faced by a mobile robot given an incomplete tour of an unknown environment, and introduce a collection of techniques which can generate successful behaviour even in the presence of such problems. Underlying our approach is the principle that an autonomous system must be motivated to act to gather new knowledge, and to validate and correct existing...
TMT strategic cognitive ability largely determines the corporate strategic performance. It is the core concern of UET to improve TMT strategic cognitive ability and team performance. This paper integrated the core competence theory of the corporate and the SECI model into TMT strategic cognitive system, and proposed TMT strategic cognitive system model based on the amendments and additions to SECI...
To investigate whether or not visual cognition allots more attention to robots with animate or inanimate forms, a change detection experiment was conducted for three types of robot appearance; anthropomorphic, zoomorphic and inanimate forms. Subjects detected changes more quickly in animate (anthropomorphic / zoomorphic) robots than their inanimate counterparts. This indicates that the domain-specificity...
Virtual assembly is widely used to increase productivity. However, performing all the operations manually is time consuming, because there will inevitably have much rework to do. On the other hand, automating the whole process is an unbelievable task, because there is a lack of professional knowledge. Therefore, we present an object trace method to depict assembly manipulation, and use this specification...
Pervasive computing (also referred to as ubiquitous computing or ambient intelligence) aims to create environments where computers are invisibly and seamlessly integrated and connected into our everyday environment. Pervasive computing applications are often interaction transparent, context aware, and experience capture and reuse capable. Interaction transparency means that the human user is not aware...
The network study is a new kind of study way by the learners study independently. The metacognitive is that the main body of cognition does the activity of self-understanding, the self-experience and the self-control to the cognitive auto gnosis. It may help the network learners establish the reasonable study goal, choose the appropriate study strategy, strengthen the self-regulation, stimulate learning...
Based on the memory and moralization function of the memorial space, the article discusses the effects of the collective memory to preserve and reconstruct the history. The memorial space represents the moralization mode and its assimilation purpose with both gather and mix features. On this basis, the radiation-receiving-feedback mode of information transfer in memorial space is presented. Under...
In the information education environment, research study, collaborative learning, ubiquitous learning and other new learning methods are concerned by experts in all areas. These non-linear learning approaches have changed the traditional teaching methods. It not only has a guiding sense of teaching, but also has a major impact on the achievement of learners. Then in the learning process, how to express...
In distance learning/training in a Computing Environment for Human Learning (CEHL), among the numerous methods proposed, very few concentrate on a real time follow-up of learner/trainee. Our work develops the design and implementation of a MultiAgent System based on case based reasoning which can initiate learning and provide an individualized monitoring of learner/trainee. When interacting with the...
Implementing a cognition cycle provides a real impression of the mechanisms of a natural intelligence system for explaining interdependent information processing activities among cognitive processes of the brain. The nature of information processing in the human brain is fuzzy. In this article, the Motivation/Attitude Driven Behavior (MADB) model as a kind of a cognition cycle is developed according...
Basic mechanisms of the mind, cognition, language, its semantic and emotional mechanisms are modeled using dynamic logic (DL). This cognitively and mathematically motivated model leads to a dual-model hypothesis of language and cognition. This models joint emergence of language and cognition from mirror neuron system.
We propose a hybrid method that combines novel aspects of adaptable agent methodologies (ReAd) and a novel biologically inspired memory model to create powerful intelligent agents. These methodologies are well suited to each other, and by combining them in a novel way we are able to form a cognitive artificial agent that is capable of realistically emulating learning intelligent behaviour in a virtual...
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