In this article we demonstrate how knowledge level learning can be performed within the Soar architecture. That is, we demonstrate how Soar can acquire new knowledge that is not deductively implied by its existing knowledge. This demonstration employs Soar's chunking mechanism — a mechanism which acquires new productions from goalbased experience — as its only learning mechanism. Chunking has p...

This is the first presidential address of AAAI, the American Association for Artificial Intelligence. In the grand scheme of history, even the history of artificial intelligence (AI), this is surely a minor event. The field this scientific society represents has been thriving for quite some time. No doubt the society itself will make solid contributions to the health of our field But it is too ...

In this paper, we describe an approach to modelling contextaware systems starting on the knowledge level. We make use of ideas from Activity Theory to structure the general context model and to assess empirical data. We further on describe how the data-driven and the model-driven aspects of our approach are combined into a single knowledge model. We outline the design of an empirical study cond...

Purpose The purpose of this study is to assess the application of knowledge management (KM) models in managing and integrating indigenous and exogenous knowledge for improved farming activities in Tanzania, by examining the management of indigenous knowledge (IK), access and use of exogenous knowledge, the relevancy of policies, legal framework, information and communication technologies (ICTs)...

In call centers, since callers range from novices to experts with respect to what they are asking about, callers should be treated differently depending on their knowledge levels. To extract dialogues of callers with a certain knowledge level for an analysis, we propose a method to estimate callers’ levels of knowledge. We focus on features related to vocabulary, utterance timing and duration, ...

This study aims to explore two crucial aspects of collaborative work and learning: on the one hand, the importance of enabling collaborative learning applications to capture and structure the information generated by group activity and, on the other hand, to extract the relevant knowledge in order to provide learners and tutors with efficient awareness, feedback and support as regards group per...

Recommendation plays a vital role in adaptive educational systems. Learners often face large body of educational materials including not only texts (explanations), but also interactive content such as exercises and questions. These require various knowledge levels of multiple topics. For effective learning, personalized recommendation of the most appropriate items according to the learner's cur...

Recently, knowledge management (KM) has become a very popular business concept. Unfortunately, there are still problems connected with the incorporation of KM into particular organisations in the Czech Republic (CR). These problems can be identified at all knowledge levels, which are a supranational level, national level, organisational level and management of knowledge level. Examples of probl...

An intelligent tutoring system plays vital role in education and its importance is constantly increasing, meanwhile the key challenge in the teaching learning process is assessing students’ learning efficiently. In this paper, a hybrid assessment based-on ACT-R cognitive learning theory, combining ontology knowledge map with skills is proposed. In order to assess how well students master knowle...