Complexity and Extended Phenomenological-Cognitive Systems
نویسندگان
چکیده
منابع مشابه
Complexity and Extended Phenomenological-Cognitive Systems
The complex systems approach to cognitive science invites a new understanding of extended cognitive systems. According to this understanding, extended cognitive systems are heterogenous, composed of brain, body, and niche, non-linearly coupled to one another. This view of cognitive systems, as non-linearly coupled brain-body-niche systems, promises conceptual and methodological advances. In thi...
متن کاملThe challenge of complexity for cognitive systems
Complex cognition addresses research on (a) high-level cognitive processes – mainly problem solving, reasoning, and decision making – and their interaction with more basic processes such as perception, learning, motivation and emotion and (b) cognitive processes which take place in a complex, typically dynamic, environment. Our focus is on AI systems and cognitive models dealing with complexity...
متن کاملSimulating Cognitive Complexity in Work Systems
The Brahms Generalized Überlingen Model (Brahms-GÜM) is a cognitive-behavioral simulation of aviation work practices that reveals how normally complicated situations become cognitively complex for people in a dynamic environment of malfunctioning tools and non-routine workload. Brahms-GÜM was developed by analyzing and generalizing the roles, systems, and events leading to an aircraft collision...
متن کاملDetecting synchronization in spatially extended discrete systems by complexity measurements
Despite all the efforts devoted to understand the meaning of complexity, we still do not have an instrument in the laboratories specially designed for quantifying this property. Maybe this is not the final objective of all those theoretical attempts carried out in the most diverse fields of knowledge in the last years [1, 4, 5, 7, 10, 11, 12, 19], but, for a moment, let us think in that possibi...
متن کاملComplexity and Cognitive Computing
This paper has as main goal to develop a hybrid expert system to minimize some of the complexity problems related to arti cial intelligence eld. For instance, we can mention: the so-called bottleneck of expert systems, e.g., the knowledge elicitation process; the choice of the model for the knowledge representation to code human reasoning; In relation to the connectionist approach, the number o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Topics in Cognitive Science
سال: 2011
ISSN: 1756-8757
DOI: 10.1111/j.1756-8765.2011.01168.x