Autopoietic Cognitive Systems in Management Applications

2021 ◽  
pp. 98-121
Author(s):  
Dariusz Nowak-Nova
Keyword(s):  
Social Systems ◽  
Cognitive Systems ◽  
Systematic Mapping Study ◽  
Cognitive Computing ◽  
Knowledge Domain ◽  
Practical Applications ◽  
Autopoietic Systems ◽  
Systems Research ◽  
Communications Systems ◽  
Research Domains

This chapter presents the study of available literature describing autopoietic systems using the systematic mapping study method. Using the knowledge domain visualization technique, the areas of application for management cognitive systems and described therein self-sufficient processes responsible for the success of an organisation were presented. In the study, the research domains considered from the perspective of autopoiesis, such as cognitive computing (CC), information system (IS), communications systems, and Social Systems, were isolated. The study demonstrated that systems implemented based on CC in connection with IS are recommended for management systems. Research confirmed that CC applications using cognitive systems in autopoietic cognitive systems solutions constitute a developing field. Finally, specific and practical applications of cognitive technologies capable of being translated into the economic success of enterprises were indicated.

Cognitive Intelligence

2016 ◽  
Vol 10 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Yingxu Wang ◽  
Bernard Widrow ◽  
Lotfi A. Zadeh ◽  
Newton Howard ◽  
Sally Wood ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Computational Intelligence ◽  
Cognitive Systems ◽  
Cognitive Computing ◽  
Cognitive Intelligence ◽  
Basic Studies ◽  
Deep Reasoning ◽  
Intelligence Theories ◽  
The Brain

The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

scholarly journals A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing

2019 ◽  
Vol 378 (2164) ◽  
pp. 20190162
Author(s):  
A. Serb ◽  
I. Kobyzev ◽  
J. Wang ◽  
T. Prodromakis
Keyword(s):  
Cognitive Processing ◽  
Substantial Part ◽  
Cognitive Systems ◽  
Processing Unit ◽  
Cognitive Computing ◽  
Representation System ◽  
Semantic Level ◽  
Autonomous Computing ◽  
Level Information

One of the main, long-term objectives of artificial intelligence is the creation of thinking machines. To that end, substantial effort has been placed into designing cognitive systems; i.e. systems that can manipulate semantic-level information. A substantial part of that effort is oriented towards designing the mathematical machinery underlying cognition in a way that is very efficiently implementable in hardware. In this work, we propose a ‘semi-holographic’ representation system that can be implemented in hardware using only multiplexing and addition operations, thus avoiding the need for expensive multiplication. The resulting architecture can be readily constructed by recycling standard microprocessor elements and is capable of performing two key mathematical operations frequently used in cognition, superposition and binding, within a budget of below 6 pJ for 64-bit operands. Our proposed ‘cognitive processing unit’ is intended as just one (albeit crucial) part of much larger cognitive systems where artificial neural networks of all kinds and associative memories work in concord to give rise to intelligence. This article is part of the theme issue ‘Harmonizing energy-autonomous computing and intelligence’.

scholarly journals Abstract Intelligence

2017 ◽  
Vol 11 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Yingxu Wang ◽  
Lotfi A. Zadeh ◽  
Bernard Widrow ◽  
Newton Howard ◽  
Françoise Beaufays ◽  
...  
Keyword(s):  
Neural Networks ◽  
Mathematical Models ◽  
Computational Intelligence ◽  
Cognitive Learning ◽  
Cognitive Systems ◽  
Stanford University ◽  
Cognitive Computing ◽  
Cognitive Informatics ◽  
Basic Studies ◽  
Cognitive Robots

Basic studies in denotational mathematics and mathematical engineering have led to the theory of abstract intelligence (aI), which is a set of mathematical models of natural and computational intelligence in cognitive informatics (CI) and cognitive computing (CC). Abstract intelligence triggers the recent breakthroughs in cognitive systems such as cognitive computers, cognitive robots, cognitive neural networks, and cognitive learning. This paper reports a set of position statements presented in the plenary panel (Part II) of IEEE ICCI*CC'16 on Cognitive Informatics and Cognitive Computing at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

Self-observation, self-reference and operational coupling in social systems: steps towards a coherent epistemology of mass media

2009 ◽  
Vol 1 (1) ◽  
pp. 59-74
Author(s):  
Juan Miguel Aguado
Keyword(s):  
Mass Media ◽  
Social Systems ◽  
Social Contexts ◽  
Epistemic Status ◽  
Media System ◽  
Autopoietic Systems ◽  
Meaning Systems ◽  
Meaning Production ◽  
Significant Divergence ◽  
The Mass Media

This paper is concerned with the role of self-observation in managing complexity in meaning systems. Revising Niklas Luhmann's theory of mass media, we approach the mass media system as a social sub-system functionally specialized in the coupling of psychic systems' (individuals) self-observation and social systems' self-observation (including, respectively, themselves as each other's internalized environment).According to Autopoietic Systems Theory and von Foerster's second order cybernetics, self-observation presupposes a capability for meta-observation (to observe the observation) that demands a specific distinction between observer and actor. This distinction seems especially relevant in those social contexts where a separation between the action of observation and other social actions is required (in politics, for instance). However, in those social contexts (such as mass-media meaning production) where the defining action is precisely observation (in terms of the differentiation that constitutes the system), the border between observer and actor is blurred.We shall consider the significant divergence between the implicit and the explicit epistemologies of the mass media system, which appears to be characterized by the explicit assumption of a classic objectivist epistemology, on one side, and a relativist epistemology on the other, posing a hybrid epistemic status somewhere in between science and arts.

Cognition as a Service: An Industry Perspective

AI Magazine ◽  
2015 ◽  
Vol 36 (4) ◽  
pp. 71-86 ◽  
Author(s):  
Jim Spohrer ◽  
Guruduth Banavar
Keyword(s):  
Big Data ◽  
Gross Domestic Product ◽  
Smart Phones ◽  
Cognitive Systems ◽  
Business And Society ◽  
Cognitive Computing ◽  
Public And Private ◽  
Smart Systems ◽  
Industrial Strength ◽  
Productive Output

Recent advances in cognitive computing componentry combined with other factors are leading to commercially viable cognitive systems. From chips to smart phones to public and private clouds, industrial strength “cognition as a service” is beginning to appear at all scales in business and society. Furthermore, in the age of zettabytes on the way to yottabytes, the designers, engineers, and managers of future smart systems will depend on cognition as a service. Cognition as a service can help unlock the mysteries of big data and ultimately boost the creativity and productivity of professionals and their teams, the productive output of industries and organizations, as well as the GDP (gross domestic product) of regions and nations. In this and the next decade, cognition as a service will allow us to re-image work practices, augmenting and scaling expertise to transform professions, industries, and regions.

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