Real World Problem-Solving

Frontiers in Human Neuroscience
Vasanth Sarathy

Abstract

Real world problem-solving (RWPS) is what we do every day. It requires flexibility, resilience, resourcefulness, and a certain degree of creativity. A crucial feature of RWPS is that it involves continuous interaction with the environment during the problem-solving process. In this process, the environment can be seen as not only a source of inspiration for new ideas but also as a tool to facilitate creative thinking. The cognitive neuroscience literature in creativity and problem-solving is extensive, but it has largely focused on neural networks that are active when subjects are not focused on the outside world, i.e., not using their environment. In this paper, I attempt to combine the relevant literature on creativity and problem-solving with the scattered and nascent work in perceptually-driven learning from the environment. I present my synthesis as a potential new theory for real world problem-solving and map out its hypothesized neural basis. I outline some testable predictions made by the model and provide some considerations and ideas for experimental paradigms that could be used to evaluate the model more thoroughly.

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Citations

Dec 10, 2019·NPJ Science of Learning·Jessica E BartleyAngela R Laird
Jan 28, 2021·Frontiers in Robotics and AI·Lakshmi Nair, Sonia Chernova
Apr 6, 2021·Cognitive Processing·Johannes Wagemann, Jonas Raggatz
Jul 6, 2021·Frontiers in Robotics and AI·Alla GubenkoClaude Houssemand

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Methods Mentioned

BETA
contraption

Software Mentioned

VR
Archimedes
Geneplore
CSPT

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