Anxiety and Cognitive Processes in Problem Solving

1974 ◽  
Vol 18 (3) ◽  
pp. 239-254 ◽  
Author(s):  
Kenneth E. Sinclair ◽  
Terence A. Heys ◽  
Stephen de C. Kemmis

In this paper a trait-state conception of anxiety is presented which incorporates a number of extensions to current theorizing. The conception is a cognitive one in that it emphasizes information processing that occurs with respect to both the trait and state components of anxiety. The conception indicates a number of insights into human problem solving that can be made through a consideration of cognitive processing, anxiety processing, and their interaction. In particular, the role of coping styles in threat reduction and the influence of A-state on specific cognitive processes are examined. Implications for theory and further research are discussed.

Author(s):  
Ebrahim Oshni Alvandi

One way to evaluate cognitive processes in living or nonliving systems is by using the notion of “information processing”. Emotions as cognitive processes orient human beings to recognize, express and display themselves or their wellbeing through dynamical and adaptive form of information processing. In addition, humans behave or act emotionally in an embodied environment. The brain embeds symbols, meaning and purposes for emotions as well. So any model of natural or autonomous emotional agents/systems needs to consider the embodied features of emotions that are processed in an informational channel of the brain or a processing system. This analytical and explanatory study described in this chapter uses the pragmatic notion of information to develop a theoretical model for emotions that attempts to synthesize some essential aspects of human emotional processing. The model holds context-sensitive and purpose-based features of emotional pattering in the brain. The role of memory is discussed and an idea of control parameters that have roles in processing environmental variables in emotional patterning is introduced.


2009 ◽  
pp. 44-109 ◽  
Author(s):  
Khaled Ahmed Nagaty

The purpose of this chapter is to discuss the relationship between three entities: hierarchical organization, information management and human collaboration. This relationship is composed of two parts: the first part is the relationship between the hierarchical organization and information management where the role of the hierarchical organization to facilitate the information management processes is discussed. The second part is the relationship between information management and human collaboration where the role of information management to improve human collaboration in problem solving is discussed. The information management processes are illustrated through an information management life cycle model. This model has three major stages: active, semi-active and inactive stages and has three major phases: creation, searching and utilization phases. The creation phase includes: information creation and using, information authoring and modifying and information organization and indexing. The searching phase includes: information storage and retrieving and information exchange. The utilization phase includes: information accessing and filtering processes. The arguments about the role of hierarchical organization in information management and human collaboration are also discussed. The author showed that the hierarchical organization acts as a facilitator for common information management processes which are required in team collaboration such as: information gathering, organization, retrieving, filtering, exchange, integration or fusion, display and visualization. Human collaboration models are discussed with emphasis on the team collaboration structural model which has four unique but interdependent stages of team collaboration. These stages are: team knowledge construction, collaborative team problem solving, team consensus, and product evaluation and revision. Each stage has four levels: meta-cognition process which guides the overall problem solving process, the information processing tasks which is required by the team to complete each collaboration stage, the knowledge required to support the information processing tasks and the communication mechanisms for knowledge building and information processing. The author focused on the role of information management to improve human collaboration across the four collaboration stages of the team collaboration structural model. He showed that the hierarchical organization is more efficient for information management processes and team collaboration rather than other alternative organizations such as flat, linear and network organizations.


Author(s):  
Abirami Swaminathan, Et. al.

The aim of this review was to understand the features and functions of two apparently conflicting constructs “intuition” and “mindfulness” with specific focus on problem solving. Literature published between 2010 and 2020 was searched and retrieved from data bases including Research Gate, PsycINFO, EBSCO, Crossref, Medline, PubMed and Scopus, using the key words “intuition”, “mindfulness”, “intuition and problem solving”, “mindfulness and problem solving” and “intuition and mindfulness” for the study. The relationship between the two constructs was analysed within the dual process system of information processing. It was also investigated whether mindfulness would facilitate access to intuition and contribute to problem solving, or function complementary to each other. Analysis of published literature revealed that while the construct ‘intuition’ could be fitted into non-conscious system of cognitive process, the construct ‘mindfulness’ was related to conscious cognitive processing system, and therefore appeared to be contradictory. A critical evaluation of the relationship between the two constructs revealed a symbiotic relationship and emphasized the need to develop an integrated model to trigger intuition in mindful state with regard to problem-solving or decision-making.


2016 ◽  
pp. 1348-1367
Author(s):  
Ebrahim Oshni Alvandi

One way to evaluate cognitive processes in living or nonliving systems is by using the notion of “information processing”. Emotions as cognitive processes orient human beings to recognize, express and display themselves or their wellbeing through dynamical and adaptive form of information processing. In addition, humans behave or act emotionally in an embodied environment. The brain embeds symbols, meaning and purposes for emotions as well. So any model of natural or autonomous emotional agents/systems needs to consider the embodied features of emotions that are processed in an informational channel of the brain or a processing system. This analytical and explanatory study described in this chapter uses the pragmatic notion of information to develop a theoretical model for emotions that attempts to synthesize some essential aspects of human emotional processing. The model holds context-sensitive and purpose-based features of emotional pattering in the brain. The role of memory is discussed and an idea of control parameters that have roles in processing environmental variables in emotional patterning is introduced.


Author(s):  
Subrata Dasgupta

Human Problem Solving (1972) by Allen Newell and Herbert Simon of Carnegie-Mellon University, a tome of over 900 pages, was the summa of some 17 years of research by Newell, Simon, and their numerous associates (most notably Cliff Shaw, a highly gifted programmer at Rand Corporation) into “how humans think.” “How humans think” of course belonged historically to the psychologists’ turf. But what Newell and Simon meant by their project of “understanding . . . how humans think” was very different from how psychologists envisioned the problem before these two men invaded their milieu in 1958 with a paper on human problem solving in the prestigious Psychological Review. Indeed, professional psychologists must have looked at them askance. Neither was formally trained in psychology. Newell was originally trained as a mathematician, Simon as a political scientist. They both disdained disciplinary boundaries. Their curricula vitae proclaimed loudly their intellectual heterodoxy. At the time Human Problem Solving was published, Newell’s research interests straddled artificial intelligence, computer architecture, and (as we will see) what came to be called cognitive science. Simon’s multidisciplinary creativity—his reputation as a “Renaissance man”—encompassing administrative theory, economics, sociology, cognitive psychology, computer science, and the philosophy of science—was of near-mythical status by the early 1970s. Yet, for one prominent historian of psychology it would seem that what Newell and Simon did had nothing to do with the discipline: the third edition of Georgetown University psychologist Daniel N. Robinson’s An Intellectual History of Psychology (1995) makes no mention of Newell or Simon. Perhaps this was because, as Newell and Simon explained, their study of thinking adopted a pointedly information processing perspective. Information processing: Thus entered the computer into this conversation. But, Newell and Simon hastened to clarify, they were not suggesting a metaphor of humans as computers. Rather, they would propose an information processing system (IPS) that would serve to describe and explain how humans “process task-oriented symbolic information.” In other words, human problem solving, in their view, is an instance of representing information as symbols and processing them.


Author(s):  
Richard E. Mayer

Problem solving refers to cognitive processing directed at achieving a goal when the problem solver does not initially know a solution method. A problem exists when someone has a goal but does not know how to achieve it. Problems can be classified as routine or non-routine, and as well-defined or ill-defined. The major cognitive processes in problem solving are representing, planning, executing, and monitoring. The major kinds of knowledge required for problem solving are facts, concepts, procedures, strategies, and beliefs. The theoretical approaches that have developed over the history of research on problem are associationism, Gestalt, and information processing. Each of these approaches involves fundamental issues in problem solving such as the nature of transfer, insight, and goal-directed heuristics, respectively. Some current research topics in problem solving include decision making, intelligence and creativity, teaching of thinking skills, expert problem solving, analogical reasoning, mathematical and scientific thinking, everyday thinking, and the cognitive neuroscience of problem solving. Common theme concerns the domain specificity of problem solving and a focus on problem solving in authentic contexts.


1970 ◽  
Vol 7 (3) ◽  
pp. 370-376 ◽  
Author(s):  
James R. Bettman

Using the Newell, Shaw, and Simon postulates for an information processing theory of human problem solving, decision net models were constructed for two individual consumers’ choices of grocery products. The models were tested against actual data, and the resulting predictions were highly accurate.


Author(s):  
Xianbing Song ◽  
Shanshan Wang ◽  
Rui Wang ◽  
Huiqiong Xu ◽  
Zhicheng Jiang ◽  
...  

Although childhood maltreatment is known to be associated with depressive symptoms, few studies have investigated the mediating effect of different types of coping styles on this association. It is unknown whether the impacts vary by sex. We investigated the mediating effects of different coping styles on the relationship between childhood maltreatment and depressive symptoms among Chinese undergraduates, as well as the role of sex in the mediated pathways. A total of 7643 college freshmen and sophomores (5665 females, 1978 males; 4215 freshmen, 3428 sophomores; mean age, 19.67 years) from two colleges in China completed a standard questionnaire on the details of childhood maltreatment, depressive symptoms, and coping styles. Childhood maltreatment was significantly correlated with all coping styles and depressive symptoms studied (p < 0.001). Problem solving, self-blame, help seeking, problem avoidance, and rationalization mediated the relationship between childhood maltreatment and depressive symptoms. The estimated ratio of the effect of childhood maltreatment on the occurrence of depressive symptoms can be explained by the mediation of problem solving, self-blame, help seeking, problem avoidance, and rationalization, which accounted for 15.1%, 25.6%, 7.4%, 1.6% and 1.6% of the total effect, respectively. Sex differences were found to have mediating effects on coping styles in terms of the relationship between childhood maltreatment and depressive symptoms. The findings illustrate the need to focus on coping styles and to employ sex-specific methods to effectively help college students reduce depressive symptoms associated with childhood maltreatment.


Author(s):  
Noe Vargas Hernandez ◽  
Jami J. Shah ◽  
Steven M. Smith

The objective of this paper is to present a series of proposed cognitive models for specific components of design ideation. Each model attempts to explain specific cognitive processes occurring during ideation. Every model presented here is constructed with elements (i.e. cognitive processes) and theories available from cognitive psychology, human problem solving, mental imagery, and visual thinking. Every model in turn is an element of a higher-level cognitive model of design ideation. These models provide a better understanding of the components involved during ideation and their relationships.


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