Psycho-Cognitive Model of Knowledge Creation Theory

Author(s):  
Sunday Bolade

Humans perform activities collaboratively or individually, and these activities, more often than not, involve both physical and mental processes. However, irrespective of whether individual or collective functioning, knowledge creation is a personal experience. Nevertheless, the general tenet of this paper is that knowledge is created in a human’s mind and resides in the head. Hence, it posits that knowledge creation is cognitive (associated with the neurological structures of the brain) and psychological (involving consciousness)—a psycho-cognitive process. This study thus employs a “Cognaction” mechanism that is based on the assumptions captured below. The mechanism premised that the human cognitive chamber consists of 3C modes of comprehension (for interpreting stimuli transmitted to the brain by sensory organs), contextualisation (for mindful connecting of chunks to existing schemas), and conceptualisation (for evaluative reflection in a manner that leads to drawing inference and building themes or new concepts). It demonstrates that as diverse skill sets are applied to a task, they generate varieties of effects and outcomes. The outcomes though are distinctive and at the same time are cospecialised. Thus, the psycho-cognitive perspective demonstrates knowledge creation as a cocreation process and sees knowledge as a mix of cocreated, cognitive structures. In view of these, the study provides the missing explanation on how the knowledge archetypes emerged. And it provides the missing link between the belief that “knowledge is created in the head” and knowledge creation theory.

2015 ◽  
Vol 17 (2) ◽  
pp. 125-134 ◽  
Author(s):  
Evan Hy Einstein

Depression is currently understood within a biomedical paradigm. This paradigm is an example of reductionism; people are clinically diagnosed and categorized based on behavior and affect, while they are then prescribed psychotropic medications based on an inconclusively correlated neurotransmitter imbalance in the brain. In this article, clinical diagnosis and labeling are explored with respect to their detrimental potential. A framework of embodied cognition is used to conceptualize a cognitive model of depressive experience. This theoretical model explores the potentially self-reinforcing cognitive mechanisms behind a depressive experience, with the goal of highlighting the possibility of diagnosis as a detrimental influence on these mechanisms. The aim of this article is to further a discussion about our current mental health care paradigm and provide an explanation as to how it could cause harm to some. Clinical applications of the model are also discussed pertaining to the potential of rendering formal dichotomist diagnoses irrelevant to the ultimate goal of helping people feel better.


2007 ◽  
Vol 13 (4 suppl 1) ◽  
pp. 24-27
Author(s):  
Mirna Wetters Portuguez ◽  
Danielle Irigoyen da Costa ◽  
Sabine Possa Marroni ◽  
Vanessa Pagliarini ◽  
Karin Vieira

Psychogenic nonepileptic seizures (PNES) may be defined as paroxysmal changes in behavior that are similar to epileptic seizures but are not associated with quantifiable alterations in the electrical activity of the brain. At the Epilepsy Surgery Program (ESP) of the São Lucas Hospital at PUCRS (HSL-PUCRS), we studied 52 individuals (37 females and 15 males) with a diagnosis of PNES, associated (57%) or not (23%) with refractory epileptic seizures. We found emotional abuse (100%), physical abuse (80%), emotional neglect (80%), physical negligence (70%) and sexual abuse (30%), mood (40%) and anxiety disorders (50%), as the main psychological components in such population. Although the medical and psychosocial impact of PNES can be estimated as significant, the absence of specialized services for its treatment is striking. Multiple diagnostic and therapeutic procedures and the participation of a specialized multidisciplinary team – where neuropsychology functions as a link between the mental processes/psychopathologies and the brain – are required to ensure proper management of such cases.


1982 ◽  
Vol 57 (3) ◽  
pp. 309-315
Author(s):  
Mortimer J. Adler

✓ In his 1982 Cushing oration, a distinguished philosopher, author, and discerning critic presents a distillate of his phenomenally wide range of personal experience and his familiarity with the great books and teachers of the present and the past. He explores the differences and relationships between human beings, brute animals, and machines. Knowledge of the brain and nervous system contribute to the explanation of all aspects of animal behavior, intelligence, and mentality, but cannot completely explain human conceptual thought.


The complexity of human olfaction is very high and the importance of being able to measure it directly, objectively and qualitatively has led experts to search for mechanisms that can be applied. Human beings use this sense, which is one of the oldest, to recognize danger and distinguish between pleasant and unpleasant odors. Smells are mixtures of molecules that, at different concentrations in the inhaled air, stimulate the olfactory area and are recognized at the brain level. Therefore, there is a coding and decoding system. Human olfactometer techniques use equipment designed to be able to measure its intensity and quality of volatile substances. If we are able to measure this sense, we will be able to know its variations and be able to make clinical diagnoses in normal and pathological conditions and diagnose the losses that occur in certain infectious, degenerative diseases, traumatic processes and other variants. For many years, systems have been developed that can measure subjective olfaction in humans, as well as objective forms, but it is also true that there is no equipment available that is fast, simple handling and that can be applied in daily clinical services. Aim of the Study Present the recent achievements in olfactometer technology; Elaborate the scientific articles about olfactometry published mainly in the last 10 years; To gather the information published in the last years in relation to the usefulness, existence in the market and purposes of equipment that can measure the odors, what we will call the Smell-o-meter or olfactometer for human use. Material and Methods: In the first part of this research we will gather most of the information existing so far in international bibliography, as well as the achievements and utilities obtained to date. Following, we will analyze all the new concepts related to smell-o-meters devices that exist on the market and assess the possibility, based on what has been done so far, to seek new practical systems for application in the medical field.


2019 ◽  
Author(s):  
Ismael Palacios-Garcia ◽  
Francisco J. Parada

Cognitive process and associated states such as wellbeing are embodied, in a process of phylogenetic and ontogenic interdependencies, encompassing an organism’s both internal and external environments. Diurnal mammals’ physiology has been enslaved by the day/night cycle, imposed to planet Earth from the cosmos. Mammals’ physiology is furthermore entangled to the micro-dynamics of small organisms, imposed onto the body through the development of a symbiotic relationship unfolding throughout ontogeny and phylogeny. Therefore, adequate scientific study of human behavior will include as many levels as possible: socio-cultural, psychological, microbiological, etc. The brain-gut-microbiota topic represents a fascinating opportunity to expand our knowledge about cognition, mental health, and life in general. It is important to frame this research topic from multiple perspectives including biological/medical sciences, public policy, architecture, urbanism, and psychology. Furthermore, recent philosophical and epistemological advances, under the 4E-cognition framework, will help the integration of evidence, providing new insights and novel hypotheses.


Author(s):  
Alba J. Jerónimo ◽  
María P. Barrera ◽  
Manuel F. Caro ◽  
Adán A. Gómez

A cognitive model is a computational model of internal information processing mechanisms of the brain for the purposes of comprehension and prediction. CARINA metacognitive architecture runs cognitive models. However, CARINA does not currently have mechanisms to store and learn from cognitive models executed in the past. Semantic knowledge representation is a field of study which concentrates on using formal symbols to a collection of propositions, objects, object properties, and relations among objects. In CARINA Beliefs are a form of represent the semantic knowledge. The aim of this chapter is to formally describe a CARINA-based cognitive model through of denotational mathematics and to represent these models using a technique of semantic knowledge representation called beliefs. All the knowledge received by CARINA is stored in the semantic memory in the form of beliefs. Thus, a cognitive model represented through beliefs will be ready to be stored in semantic memory of the metacognitive architecture CARINA. Finally, an illustrative example is presented.


Author(s):  
Zhiwei Shi ◽  
Hong Hu ◽  
Zhongzhi Shi
Keyword(s):  

Philosophies ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 14
Author(s):  
Kevin Warwick

In this article, a practical look is taken at some of the possible enhancements for humans through the use of implants, particularly into the brain or nervous system. Some cognitive enhancements may not turn out to be practically useful, whereas others may turn out to be mere steps on the way to the construction of superhumans. The emphasis here is the focus on enhancements that take such recipients beyond the human norm rather than any implantations employed merely for therapy. This is divided into what we know has already been tried and tested and what remains at this time as more speculative. Five examples from the author’s own experimentation are described. Each case is looked at in detail, from the inside, to give a unique personal experience. The premise is that humans are essentially their brains and that bodies serve as interfaces between brains and the environment. The possibility of building an Interplanetary Creature, having an intelligence and possibly a consciousness of its own, is also considered.


2013 ◽  
Vol 2013 ◽  
pp. 1-18 ◽  
Author(s):  
Seth A. Herd ◽  
Kai A. Krueger ◽  
Trenton E. Kriete ◽  
Tsung-Ren Huang ◽  
Thomas E. Hazy ◽  
...  

We address strategic cognitive sequencing, the “outer loop” of human cognition: how the brain decides what cognitive process to apply at a given moment to solve complex, multistep cognitive tasks. We argue that this topic has been neglected relative to its importance for systematic reasons but that recent work on how individual brain systems accomplish their computations has set the stage for productively addressing how brain regions coordinate over time to accomplish our most impressive thinking. We present four preliminary neural network models. The first addresses how the prefrontal cortex (PFC) and basal ganglia (BG) cooperate to perform trial-and-error learning of short sequences; the next, how several areas of PFC learn to make predictions of likely reward, and how this contributes to the BG making decisions at the level of strategies. The third models address how PFC, BG, parietal cortex, and hippocampus can work together to memorize sequences of cognitive actions from instruction (or “self-instruction”). The last shows how a constraint satisfaction process can find useful plans. The PFC maintains current and goal states and associates from both of these to find a “bridging” state, an abstract plan. We discuss how these processes could work together to produce strategic cognitive sequencing and discuss future directions in this area.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Guo-Ping Liu ◽  
Jian-Jun Yan ◽  
Yi-Qin Wang ◽  
Wu Zheng ◽  
Tao Zhong ◽  
...  

In Traditional Chinese Medicine (TCM), most of the algorithms used to solve problems of syndrome diagnosis are superficial structure algorithms and not considering the cognitive perspective from the brain. However, in clinical practice, there is complex and nonlinear relationship between symptoms (signs) and syndrome. So we employed deep leaning and multilabel learning to construct the syndrome diagnostic model for chronic gastritis (CG) in TCM. The results showed that deep learning could improve the accuracy of syndrome recognition. Moreover, the studies will provide a reference for constructing syndrome diagnostic models and guide clinical practice.


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