Building Bridges between AI and Cognitive Psychology

Abstract


 
 
 My goal in this article is to encourage greater integration of the fields of AI and cognitive psychology by reviewing work on shared interests. I begin with examples that link my early research related to AI with my current efforts to organize knowledge in the cognitive sciences. I then describe how cognitive psychologists have contributed to the methods explained in the book The Master Algorithm: How the Ultimate Learning Machine Will Remake Our World (Domingos, 2015), including how these methods can be combined. The final section discusses three benefits of building bridges: using computational models in AI as theoretical models in cognitive psychology, solving joint computational problems, and facilitating the interactions between people and machines.
 
 

Searching for the Big Pictures

“…The Master Algorithm encourages thinking about how combining these methods can make them more effective and challenges readers to help achieve this goal. Cognitive psychologists have done extensive work on developing and combining these methods, which I described in my article, “Building Bridges Between AI and Cognitive Psychology” (Reed, 2019a). For instance, Kemp and Tenenbaum (2008) combined the analogizer and Bayesian methods by using a hierarchical Bayesian model to select the best fitting graph structure for capturing similarity.…”