Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats that of humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn and how they learn it. Specifically, we argue that these machines should (1) build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; (2) ground learning in intuitive theories of physics and psychology to support and enrich the knowledge that is learned; and (3) harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes toward these goals that can combine the strengths of recent neural network advances with more structured cognitive models.

Brenden M Lake

Tomer D Ullman

Joshua B Tenenbaum

Samuel J Gershman

Behavioral and Brain Sciences

BBS 是国际知名期刊，采用开放同行评论的创新格式。心理学、神经科学、行为生物学或认知科学的任何领域的研究人员发表了特别重要和有争议的作品，以及这些学科内和跨学科专家对每篇文章的 10-25 条评论，以及作者对它们的回应. 结果是一个引人入胜的独特论坛，用于交流、批评、刺激，特别是从分子神经生物学到人工智能和心灵哲学的行为和脑科学研究的统一。

Behavioral and Brain Sciences is an internationally renowned journal that employs an innovative open peer review format. Researchers from fields such as psychology, neuroscience, behavioral biology, and cognitive science publish particularly significant and controversial works here. Each article receives 10 to 25 comments from experts within and across disciplines, to which the authors respond. The result is an engaging and unique forum for communication, critique, and stimulation, particularly in the unified study of behavioral and brain sciences, ranging from molecular neurobiology to artificial intelligence and philosophy of mind.

《Behavioral and Brain Sciences》是一本国际知名的期刊，采用开放同行评审的创新格式。心理学、神经科学、行为生物学和认知科学等领域的研究人员在此发表特别重要和有争议的研究成果。每篇文章都会收到10到25条来自该领域内及跨学科专家的评论，作者也会对此进行回应。最终形成了一个引人入胜的独特论坛，促进了从分子神经生物学到人工智能和心灵哲学等领域的行为与脑科学研究的交流与批评。

Category	Quartile
心理学	1
心理学, 行为科学	1
心理学, 神经科学	1
心理学, 心理学生物	1

Building machines that learn and think like people

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Journal Info

Category	Quartile
PSYCHOLOGY, BIOLOGICAL	1