A Doctrine of Cognitive Informatics (CI)

Abstract

Cognitive informatics (CI) is the transdisciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, and their engineering applications via an interdisciplinary approach. CI develops a coherent set of fundamental theories and denotational mathematics, which form the foundation for most information and knowledge based science and engineering disciplines such as computer science, cognitive science, neuropsychology, systems science, cybernetics, software engineering, knowledge engineering, and computational intelligence. This paper reviews the central doctrine of CI and its applications. The theoretical framework of CI is described on the architecture of CI and its denotational mathematic means. A set of theories and formal models of CI is presented in order to explore the natural and computational intelligence. A wide range of applications of CI are described in the areas of cognitive computers, cognitive properties of knowledge, simulations of human cognitive behaviors, cognitive complexity of software, autonomous agent systems, and computational intelligence. Y. Wang et al. / A Doctrine of Cognitive Informatics (CI)

The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics

“…Cognitive framework of the brain (CFB). (Birattari and Kacprzyk, 2001;Kacprzyk and Yager, 2001;Pedrycz and Gomide, 2007;Rudas and Fodor, 2008;Siddiqi and Pizer, 2008;Wang et al, 2009Wang et al, , 2016bWang et al, , 2018Cios et al, 2012;Wang, 2012aWang, , 2016aWang, , 2020Wang, , 2021aWang, , 2022cBerwick et al, 2013;Plataniotis, 2022;Huang et al, 2023) theories and technologies beyond classical pretrained AI based on data convolution and preprogrammed computing underpinned by pre-deterministic run-time behaviors.…”

“…Although it is well recognized that data, information, knowledge, and intelligence are the fundamental cognitive objects in the brain (Boole, 1854;Wilson and Frank, 1999;Wang et al, 2009) and AAI systems, as illustrated in Figure 1, there is a lack of formal studies on their transition and aggregation. The contemporary and traditional perceptions, metaphors, and relationships of the basic cognitive objects in the brain and intelligent systems are analyzed in this section.…”

Abstract Intelligence

“…• Cognitive Informatics (CI): CI, in its narrow sense, is the third level of brain studies in the hierarchical framework of brain/intelligence science, which is built on both NI and BI at the neurological and physiological levels towards abstract intelligence at the logical level (Wang, 2002(Wang, , 2003(Wang, , 2006(Wang, , 2007aWang et al, , 2009aWang et al, , 2011bWang et al, , 2016a. CI is a term coined by Wang in the first IEEE International Conference on Cognitive Informatics (ICCI 2002) (Wang, 2002a).…”

Towards a Formal Framework of Cognitive Linguistics

“…Cognitive linguistics is proposed by Gibbs et al since 1996, which attempts to explain the cognitive processes of language and knowledge acquisition, storage, production, and comprehension [Gibbs, 1996;Taylor, 2002;Wang, 2003Wang, , 2007bWang, , 2012aLanglotz, 2006;Evans & Green, 2006]. Wang and his colleagues introduce the deductive grammar [Wang, 2009a] and deductive semantics [Wang, 2010b] in cognitive linguistics [Wang, 2007b[Wang, , 2012a[Wang, , 2012b and cognitive informatics [Wang, 2002[Wang, , 2003[Wang, , 2007a[Wang, , 2007b[Wang, , 2007c[Wang, , 2009b[Wang, , 2009c[Wang, , 2010aWang et al, , 2009aWang et al, , 2009bWang et al, , 2011b. A concept algebra based technology [Wang, 2008b[Wang, , 2010c is developed for rigorous semantic modelling and analysis [Wang, 2011a].…”