Sociocognitive

Last updated

Sociocognitive or socio-cognitive is a term especially used when complex cognitive and social properties are reciprocally connected and essential for a given problem.

Contents

It has been used in academic literature with three different meanings: [1]

  1. It can indicate a branch of science, engineering or technology, such as socio-cognitive research, or socio-cognitive interactions,
  2. It can refer to the integration of the cognitive and social properties of systems, processes, functions, as well as models, or
  3. It can describe how processes of group formation effect cognition, studied in cognitive sociology.

Socio-cognitive engineering

Socio-cognitive research is human factor and socio-organizational factor based, and assumes an integrated knowledge engineering, environment and business modeling perspective, therefore it is not social cognition which rather is a branch of psychology focused on how people process social information.

Socio-cognitive engineering (SCE) includes a set of theoretical interdisciplinary frameworks, methodologies, methods and software tools for the design of human centred technologies, [2] as well as, for the improvement of large complex human-technology systems.

Both above approaches are applicable for the identification and design of a computer-based semi-/proto-Intelligent Decision Support Systems (IDSS), [3] for the operators and managers of large socially critical systems, for high-risk tasks, such as different types of emergency and disaster management, where human errors and socio-cognitive organization vulnerability can be the cause of serious losses. [4]

Integration of cognitive social properties of systems

Group formation effect cognition

See also

Related Research Articles

<span class="mw-page-title-main">Cognitive science</span> Interdisciplinary scientific study of cognitive processes

Cognitive science is the interdisciplinary, scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition. Mental faculties of concern to cognitive scientists include language, perception, memory, attention, reasoning, and emotion; to understand these faculties, cognitive scientists borrow from fields such as linguistics, psychology, artificial intelligence, philosophy, neuroscience, and anthropology. The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. One of the fundamental concepts of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."

Memetics is a theory of the evolution of culture based on Darwinian principles with the meme as the unit of culture. The term "meme" was coined by biologist Richard Dawkins in his 1976 book The Selfish Gene, to illustrate the principle that he later called "Universal Darwinism". All evolutionary processes depend on information being copied, varied, and selected, a process also known as variation with selective retention. The information that is copied is called the replicator, and genes are the replicator for biological evolution. Dawkins proposed that the same process drives cultural evolution, and he called this second replicator the "meme". He gave as examples, tunes, catchphrases, fashions, and technologies. Like genes, memes are selfish replicators and have causal efficacy; in other words, their properties influence their chances of being copied and passed on. Some succeed because they are valuable or useful to their human hosts while others are more like viruses.

Systems theory is the transdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial. Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems. A system is "more than the sum of its parts" when it expresses synergy or emergent behavior.

In the context of systems science and systems philosophy, systemics is an initiative to study systems. It is an attempt at developing logical, mathematical, engineering and philosophical paradigms and frameworks in which physical, technological, biological, social, cognitive and metaphysical systems can be studied and modeled.

Activity theory is an umbrella term for a line of eclectic social-sciences theories and research with its roots in the Soviet psychological activity theory pioneered by Sergei Rubinstein in the 1930s. It was later advocated for and popularized by Alexei Leont'ev. Some of the traces of the theory in its inception can also be found in a few works of Lev Vygotsky. These scholars sought to understand human activities as systemic and socially situated phenomena and to go beyond paradigms of reflexology and classical conditioning, psychoanalysis and behaviorism. It became one of the major psychological approaches in the former USSR, being widely used in both theoretical and applied psychology, and in education, professional training, ergonomics, social psychology and work psychology.

Agency is the capacity of an actor to act in a given environment. It is independent of the moral dimension, which is called moral agency.

Learning sciences (LS) is an interdisciplinary field that works to further scientific, humanistic, and critical theoretical understanding of learning as well as to engage in the design and implementation of learning innovations, and the improvement of instructional methodologies. LS research traditionally focuses on cognitive-psychological, social-psychological, cultural-psychological and critical theoretical foundations of human learning, as well as practical design of learning environments. Major contributing fields include cognitive science, computer science, educational psychology, anthropology, and applied linguistics. Over the past decade, researchers have expanded their focus to include the design of curricula, informal learning environments, instructional methods, and policy innovations.

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. The formalized models can be used to further refine a comprehensive theory of cognition and as a useful artificial intelligence program. Successful cognitive architectures include ACT-R and SOAR. The research on cognitive architectures as software instantiation of cognitive theories was initiated by Allen Newell in 1990.

In the field of human factors and ergonomics, human reliability is the probability that a human performs a task to a sufficient standard. Reliability of humans can be affected by many factors such as age, physical health, mental state, attitude, emotions, personal propensity for certain mistakes, and cognitive biases.

<span class="mw-page-title-main">Francis Heylighen</span> Belgian cyberneticist (born 1960)

Francis Paul Heylighen is a Belgian cyberneticist investigating the emergence and evolution of intelligent organization. He presently works as a research professor at the Vrije Universiteit Brussel, where he directs the transdisciplinary "Center Leo Apostel" and the research group on "Evolution, Complexity and Cognition". He is best known for his work on the Principia Cybernetica Project, his model of the Internet as a global brain, and his contributions to the theories of memetics and self-organization. He is also known, albeit to a lesser extent, for his work on gifted people and their problems.

Cognitive Robotics or Cognitive Technology is a subfield of robotics concerned with endowing a robot with intelligent behavior by providing it with a processing architecture that will allow it to learn and reason about how to behave in response to complex goals in a complex world. Cognitive robotics may be considered the engineering branch of embodied cognitive science and embodied embedded cognition, consisting of Robotic Process Automation, Artificial Intelligence, Machine Learning, Deep Learning, Optical Character Recognition, Image Processing, Process Mining, Analytics, Software Development and System Integration.

Cognitive ergonomics is a scientific discipline that studies, evaluates, and designs tasks, jobs, products, environments and systems and how they interact with humans and their cognitive abilities. It is defined by the International Ergonomics Association as "concerned with mental processes, such as perception, memory, reasoning, and motor response, as they affect interactions among humans and other elements of a system. Cognitive ergonomics is responsible for how work is done in the mind, meaning, the quality of work is dependent on the persons understanding of situations. Situations could include the goals, means, and constraints of work. The relevant topics include mental workload, decision-making, skilled performance, human-computer interaction, human reliability, work stress and training as these may relate to human-system design." Cognitive ergonomics studies cognition in work and operational settings, in order to optimize human well-being and system performance. It is a subset of the larger field of human factors and ergonomics.

<span class="mw-page-title-main">Fuzzy cognitive map</span>

A fuzzy cognitive map (FCM) is a cognitive map within which the relations between the elements of a "mental landscape" can be used to compute the "strength of impact" of these elements. Fuzzy cognitive maps were introduced by Bart Kosko. Robert Axelrod introduced cognitive maps as a formal way of representing social scientific knowledge and modeling decision making in social and political systems, then brought in the computation.

Personoid is the concept coined by Stanisław Lem, a Polish science-fiction writer, in Non Serviam, from his book A Perfect Vacuum (1971). His personoids are an abstraction of functions of human mind and they live in computers; they do not need any human-like physical body.

Normalization process theory (NPT) is a sociological theory, generally used in the fields of science and technology studies (STS), Implementation Science, and healthcare system research. The theory deals with the adoption of technological and organizational innovations into systems, recent studies have utilized this theory in evaluating new practices in social care and education settings. It was developed out of the normalization process model.

Macrocognition indicates a descriptive level of cognition performed in natural instead of artificial (laboratory) environments. This term is reported to have been coined by Pietro Cacciabue and Erik Hollnagel in 1995. However, it is also reported that it was used in the 1980s in European Cognitive Systems Engineering research. Possibly the earliest reference is the following, although it does not use the exact term "macrocognition":

A macro-theory is a theory which is concerned with the obvious regularities of human experience, rather than with some theoretically defined unit. To refer to another psychological school, it would correspond to a theory at the level of Gestalten. It resembles Newell’s suggestion for a solution that would analyse more complex tasks. However, the idea of a macro-theory does not entail an analysis of the mechanistic materialistic kind which is predominant in cognitive psychology. Thus we should have a macro-theory of remembering rather than of memory, to say nothing of short-term memory, proactive inhibition release, or memory scanning. To take another example, we should have a macro-theory of attending, rather than a mini-theory of attention, or micro-theories of limited channel capacities or logarithmic dependencies in disjunctive reaction times. This would ease the dependence on the information processing analogy, but not necessarily lead to an abandonment of the information processing terminology, the Flowchart, or the concept of control structures. The meta-technical sciences can contribute to a psychology of cognition as well as to cognitive psychology. What should be abandoned is rather the tendency to think in elementaristic terms and to increase the plethora of mini-and micro-theories. ... To conclude, if the psychological study of cognition shall have a future that is not a continued description of human information processing, its theories must be at what we have called the macro-level. This means that they must correspond to the natural units of experience and consider these in relation to the regularities of human experience, rather than as manifestations of hypothetical information processing mechanisms in the brain. A psychology should start at the level of natural units in human experience and try to work upwards towards the level of functions and human action, rather than downwards towards the level of elementary information processes and the structure of the IPS.

The IEEE Systems, Man, and Cybernetics Society is a professional society of the IEEE. It aims "to serve the interests of its members and the community at large by promoting the theory, practice, and interdisciplinary aspects of systems science and engineering, human-machine systems, and cybernetics".

<span class="mw-page-title-main">Action theory (sociology)</span> Sociological concept developed by Talcott Parsons

In sociology, action theory is the theory of social action presented by the American theorist Talcott Parsons.

Cognitive sociolinguistics is an emerging field of linguistics that aims to account for linguistic variation in social settings with a cognitive explanatory framework. The goal of cognitive sociolinguists is to build a mental model of society, individuals, institutions and their relations to one another. Cognitive sociolinguists also strive to combine theories and methods used in cognitive linguistics and sociolinguistics to provide a more productive framework for future research on language variation. This burgeoning field concerning social implications on cognitive linguistics has yet received universal recognition.

While sensemaking has been studied by other disciplines under other names for centuries, in information science and computer science the term "sensemaking" has primarily marked two distinct but related topics. Sensemaking was introduced as a methodology by Brenda Dervin in the 1980s and to human–computer interaction by PARC researchers Daniel M. Russell, Mark Stefik, Peter Pirolli, and Stuart Card in 1993.

References

  1. C. J. Hemingway and T. G. Gough (1998), A Socio-Cognitive Theory of Information Systems, Technical Report 98.25, School of Computer Studies, University of Leeds, December 1998.
  2. M. Sharples at al.(2002), Socio-cognitive engineering: a methodology for the design of humancentred technology Archived 2006-09-23 at the Wayback Machine , European Journal of Operational Research
  3. A. M. Gadomski, et al.(2001)., Towards intelligent decision support systems for emergency managers: the IDA approach. International Journal of Risk Assessment and Management, Vol. 2, No. 3/4.
  4. A. M. Gadomski (2009), Human organisation socio-cognitive vulnerability: the TOGA meta-theory approach to the modelling methodology, International Journal of Critical Infrastructures, Vol. 5, No.1/2 pp. 120-155.