Cognitive Predictions

M. S. S. El Namaki
Additional contact information
M. S. S. El Namaki: VU School of Management

Chapter 10 in Neo Strategic Management, 2023, pp 105-118 from Springer

Abstract: Abstract Cognitive predictions are brain-configured cognitive future event projections. They are derived from the cognitive functions of the brain. Those functions allow individuals to receive, select, store, transform, develop, and recover information induced by external stimuli. They also allow individuals to understand and to relate to the task and global environments surrounding them. They manage the perception, attention, and memory dimensions of the human brain. And they may allow premonitions. Two questions arise here: would the cognitive functions of the brain lead to a measure of predictive competency, and whether the emerging technologies of artificial intelligence and data science allow for “simulated” cognitive competencies that would include predictive competency? Answer to the first question is addressed in the early pages of the following analysis. It addresses the basic question of what is cognition and how does the brain perform a cognitive function. These functions depend on several sources including the sensory stimuli drawn from several systems. Also stimuli that may relate to the past or the present and, occasionally, the future. And the question becomes could a stimuli induce a predictive pulse? Put differently can the brain, in response to stimuli, predict events? Answer to the second question is addressed in the following part of the chapter. It explores the potential for artificial intelligence-derived cognitive functions that may lead to a quasi-human brain cognitive performance.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-37208-7_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031372087

DOI: 10.1007/978-3-031-37208-7_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().