Kuhn (1965) and others have pointed out that when a major paradigm shift is occurring in an area, there tends to be a large number of new, competing, and most often partial models generated by the "new view" of "old" phenomena. The overgeneration of models leads to several major problems that cause great confusions, which in turn stagnates the new emerging paradigm. One strategy to prevent emer...

Our ability to efficiently process information and generate appropriate responses depends on the processes collectively called cognitive control. Despite a considerable focus in the literature on the cognitive control of information processing, neural mechanisms underlying control are still unclear, and have not been characterized by considering the quantity of information to be processed. A no...

We present a novel platform to facilitate the growth of applied quantum information processing for neural circuitry, neural stimulation, and cognitive engineering. Cognitive computation has historically been studied by rich metaphors of language constructs, computational models for information processing, and semantic interpretations. Cortical interactions at the cellular and sub cellular level...

GENERAL MODEL OF THE HUMAN AS AN INFORMATION PROCESSOR THE NEWELL-SIMON MODEL The Human Information Processing System Task Environment and Problem Space Heuristics TENTATIVE LIMITS ON HUMAN INFORMATION PROCESSING Limits on Short-Term Memory Just Noticeable Differences Handling Probabilistic Data Human Information Processing Strategies CONCEPTS OF HUMAN COGNITION AND LEARNING Cognition Theory Co...

Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both - although others disagree vehemently. Yet different cognitive scientists use 'computation' and 'information processing' to mean d...

If the brain is a machine that processes information, then its cognitive activity can be interpreted as a set of information processing states linking stimulus to response (i.e. as a mechanism or an algorithm). The cornerstone of this research agenda is the existence of a method to translate the measurable states of brain activity into the information processing states of a cognitive theory. He...

Cognitive Informatics (CI) is a discipline spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, and cognitive linguistics. CI aims to investigate the internal information processing mechanisms and processes of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering a...

In instructional psychology, cognitive load theory has applied knowledge of processing limitations of human cognitive system to enhance effectiveness of instructional procedures and information presentation formats. Underlying assumptions and principles of cognitive load theory are based on a recently proposed evolutionary perspective that regards both human cognitive architecture and biologica...