This article describes recent work that utilizes the concept of chunking as the basis for an integrated model of the acquisition of both skill and knowledge. We look at results in the areas of practice (skill) and verbal learning (knowledge). The approach is based on viewing task performance as a problem solving process and chunking as a learning process that stores away information about the r...

The relation between prosodic constituents of different levels (the prosodic hierarchy) and the realization of phonemes is investigated in French and German broadcast speech. Four levels of prosodic categories are defined and the boundaries are automatically derived using syntactic chunking and forced alignment. We show that the higher a vowel position within the prosodic structure, the more st...

Doing cognitive research in games can give new insights into the processes involved in human problem solving. By studying different games, it is possible to compare similar behavior in different domains. In this paper we present the results of cognitive experiments in shogi, a Japanese game similar to chess. We have conducted two memory tasks and one problem solving task in shogi. In general, w...

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 goal-baaed experience as its only learning mechanism. Chunking has prev...

Recent results of imaging technologies and non-linear dynamics make possible to relate the structure and dynamics of functional brain networks to different mental tasks and to build theoretical models for the description and prediction of cognitive activity. Such models are non-linear dynamical descriptions of the interaction of the core components-brain modes-participating in a specific mental...

Natural language Understanding (NLU), an important field of Artificial Intelligence (AI) is concerned with the speech and language understanding between human and computer. Understanding language means knowing what concept a word or phrase stands for and how to link them to form meaningful sentence. Identification of phrases or phrase chunking is an important step in natural language understand...

Sequence production tasks are a standard tool to analyze motor learning, consolidation, and habituation. As sequences are learned, movements are typically grouped into subsets or chunks. For example, most Americans memorize telephone numbers in two chunks of 3 digits, and one chunk of 4. Studies generally use response times or error rates to estimate how subjects chunk, and these estimates are ...