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Cognitive grammar is a cognitive approach to language developed by Ronald Langacker, which hypothesizes that grammar, semantics, and lexicon exist on a continuum instead of as separate processes altogether. This approach to language was one of the first projects of cognitive linguistics. In this system, grammar is not a formal system operating independently of meaning. Rather, grammar is itself meaningful and inextricable from semantics.

Construction grammar is a similar focus of cognitive approaches to grammar. While cognitive grammar emphasizes the study of the cognitive principles that give rise to linguistic organization, construction grammar aims to provide a more descriptively and formally detailed account of the linguistic units that comprise a particular language.

Langacker first explicates the system of cognitive grammar in his seminal, two-volume work Foundations of Cognitive Grammar. Volume one is titled "Theoretical Prerequisites", and it explores Langacker's hypothesis that grammar may be deconstructed into patterns that come together in order to represent concepts. This volume concentrates on the broad scope of language especially in terms of the relationship between grammar and semantics. Volume two is titled "Descriptive Application", as it moves beyond the first volume to elaborate on the ways in which Langacker's previously described theories may be applied. Langacker invites his reader to utilize the tools presented in Foundations' first volume in a wide range of, mainly English, grammatical situations.

Pandemonium architecture is a theory in cognitive science that describes how visual images are processed by the brain. It has applications in artificial intelligence and pattern recognition. The theory was developed by the artificial intelligence pioneer Oliver Selfridge in 1959. It describes the process of object recognition as a hierarchical system of detection and association by a metaphorical set of "demons" sending signals to each other. This model is now recognized as the basis of visual perception in cognitive science.

Pandemonium architecture arose in response to the inability of template matching theories to offer a biologically plausible explanation of the image constancy phenomenon. Contemporary researchers praise this architecture for its elegancy and creativity; that the idea of having multiple independent systems (e.g., feature detectors) working in parallel to address the image constancy phenomena of pattern recognition is powerful yet simple. The basic idea of the pandemonium architecture is that a pattern is first perceived in its parts before the "whole".

Pandemonium architecture was one of the first computational models in pattern recognition. Although not perfect, the pandemonium architecture influenced the development of modern connectionist, artificial intelligence, and word recognition models.

A cognitive architecture refers to both a theory about the structure of the human mind and to a computational instantiation of such a theory used in the fields of artificial intelligence (AI) and computational cognitive science. One of the main goals of a cognitive architecture is to summarize the various results of cognitive psychology in a comprehensive computer model. However, the results need to be formalized so far as they can be the basis of a computer program. The formalized models can be used to further refine a comprehensive theory of cognition, and more immediately, as a commercially usable model. Successful cognitive architectures include ACT-R (Adaptive Control of Thought - Rational) and SOAR.

The Institute for Creative Technologies defines cognitive architecture as: "hypothesis about the fixed structures that provide a mind, whether in natural or artificial systems, and how they work together – in conjunction with knowledge and skills embodied within the architecture – to yield intelligent behavior in a diversity of complex environments."