Understanding how people explain is a core task for cognitive science. In this opinion article, we argue that research on explanation would benefit from more engagement with how the cognitive systems involved in generating explanations (e.g., attention, long-term memory) shape the outputs of this process. Although it is clear that these systems do shape explanation, surprisingly little research has investigated how they might do so. We outline the proposed mechanistic approach to explanation and illustrate it with an example: the recent research that suggests explanations exhibit a bias toward inherent information.
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Dr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the untapped potential of the human mind, Dr. Lowemann has dedicated his career to pushing the boundaries of human capabilities and understanding.
Armed with a Master of Science degree and a Ph.D. in his field, Dr. Lowemann has consistently been at the forefront of research and innovation, delving into ways to optimize human performance, cognition, and overall well-being. His work at the Institute revolves around a profound commitment to harnessing cutting-edge science and technology to help individuals lead more fulfilling and intelligent lives.
Dr. Lowemann’s influence extends to the educational platform BetterSmarter.me, where he shares his insights, findings, and personal development strategies with a broader audience. His ongoing mission is shaping the way we perceive and leverage the vast capacities of the human mind, offering invaluable contributions to society’s overall success and collective well-being.