The growth and form of knowledge networks by kinesthetic curiosity
Autor: | Perry Zurn, Danielle S. Bassett, David M. Lydon-Staley, Dale Zhou |
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Rok vydání: | 2021 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Artificial Intelligence Cognitive Neuroscience media_common.quotation_subject Identity (social science) Network science 050105 experimental psychology Article 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Information space ComputingMilieux_COMPUTERSANDEDUCATION Reinforcement learning 0501 psychology and cognitive sciences media_common Cognitive science Information seeking 05 social sciences ComputingMilieux_PERSONALCOMPUTING Kinesthetic learning Psychiatry and Mental health Artificial Intelligence (cs.AI) Quantitative Biology - Neurons and Cognition FOS: Biological sciences Beauty Curiosity Neurons and Cognition (q-bio.NC) Psychology 030217 neurology & neurosurgery |
Zdroj: | Curr Opin Behav Sci |
ISSN: | 2352-1546 |
Popis: | Throughout life, we might seek a calling, companions, skills, entertainment, truth, self-knowledge, beauty, and edification. The practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information. Despite its importance, curiosity has been challenging to computationally model because the practice of curiosity often flourishes without specific goals, external reward, or immediate feedback. Here, we show how network science, statistical physics, and philosophy can be integrated into an approach that coheres with and expands the psychological taxonomies of specific-diversive and perceptual-epistemic curiosity. Using this interdisciplinary approach, we distill functional modes of curious information seeking as searching movements in information space. The kinesthetic model of curiosity offers a vibrant counterpart to the deliberative predictions of model-based reinforcement learning. In doing so, this model unearths new computational opportunities for identifying what makes curiosity curious. |
Databáze: | OpenAIRE |
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