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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Cognitivism01:17

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Language and Cognition01:27

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Information Processing Approach01:30

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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
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How systemic cognition enables epistemic engineering.

Stephen J Cowley1, Rasmus Gahrn-Andersen1

  • 1Department of Language and Communication, University of Southern Denmark, Slagelse, Denmark.

Frontiers in Artificial Intelligence
|February 24, 2023
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Summary
This summary is machine-generated.

Epistemic engineering, a fundamental evolutionary process, enables systems to create new knowledge and adapt. This involves distributed control and human cognitive agents constructing novelties through systemic functions.

Keywords:
distributed cognitionevoneeringpre-reflective experienceradical embodied cognitive sciencesimplexitysocial organizingsystemic cognitionvicariance

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Area of Science:

  • Cognitive Science
  • Evolutionary Biology
  • Systems Theory

Background:

  • Epistemic engineering involves systems developing functionality perceived as valid knowledge.
  • It is hypothesized as a basic evolutionary principle driving adaptation and change.
  • Living systems identify critical differences and utilize distributed control for epistemic change.

Purpose of the Study:

  • To explore epistemic engineering as a fundamental evolutionary principle.
  • To examine how distributed systems and cognitive agents construct epistemic novelties.
  • To illustrate epistemic engineering in both biological and organizational contexts.

Main Methods:

  • Analysis of a cyborg cockroach experiment demonstrating human-machine interaction and control.
  • Case study of organizational cognition in a Danish utility company using drone-based data.
  • Examination of how adaptor functions spread within complex, poly-centered systems.

Main Results:

  • Human subjects acted as adaptors with "thought control" over a cyborg animal, showcasing ex novo technique generation.
  • Drone data integration in a utility company led to epistemically engineered results via system operators' expertise.
  • Vicariant effects emerged from poly-centered control involving brains, individuals, equipment, and institutions.

Conclusions:

  • Epistemic engineering is a core evolutionary mechanism enabling adaptation and knowledge construction.
  • Human cognitive agents leverage systemic functions to create novelties, simplifying tasks.
  • Epistemic engineering reduces entropy within cultural and organizational systems.