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Full-Text Articles in Physical Sciences and Mathematics
Intuition: Role, Biases, Cognitive Basis, And A Hypothetical Synergistic Explanation Of Intuitive Brain Operations, Jens G. Pohl
Intuition: Role, Biases, Cognitive Basis, And A Hypothetical Synergistic Explanation Of Intuitive Brain Operations, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
This paper explores the characteristics of the intuitive responses that are generated by our brain continuously in an automatic and effortless manner. However, while intuition is a very powerful mechanism, it is also subject to many biasing influences. The author discusses the role of intuition, examines representative examples of biasing influences, compares cognitive theories of intuition advanced by Simon (2002), Klein (2003 and 1999), and Kahneman (2011), and then advances a hypothetical explanation of the neurological operations underlying intuition based on Hebbian rules (Hebb 1949) of plasticity in combination with synergetic principles.
The Role Of Entrepreneurship, Innovation, And Intuition, Jens Pohl
The Role Of Entrepreneurship, Innovation, And Intuition, Jens Pohl
Collaborative Agent Design (CAD) Research Center
In recognizing the importance of entrepreneurship and innovation as the principal drivers of economic growth, this paper focuses on the human attributes that govern the behavior of the entrepreneur and the societal perceptions that influence the human environment in which the entrepreneur operates. Foremost among these human attributes is the experience-based nature of the human cognitive system that prepares us well for dealing with events that are closely related to our past experience, but forces us to learn by failure as we apply past methods to new situations. In particular, the paper discusses the difficulties that the human dependence on …
Elements Of Human Decision-Making, Jens G. Pohl
Elements Of Human Decision-Making, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
The purpose of this paper is to present some understandings of the human problem-solving activity that we have gained in the Collaborative Agent Design Research Center (CADRC) over the past two decades. Since we feel strongly that the human decision-maker should be an integral component of any computer-based decision-support system, it follows that we would have endeavored to incorporate many of the elements that appear to be important to the user in the design of these systems. The complexity of the human cognitive system is evidenced by the large body of literature that describes problem-solving behavior and the relatively fewer …