We describe a new method to explore recursive cognition in the visual domain. We define recursion as the ability to represent multiple hierarchical levels using the same rule, entailing the ability to generate new levels beyond those previously encountered. With this definition recursion can be distinguished from general hierarchical embedding. To investigate this recursion/hierarchy distinction in the visual domain, we developed two novel methods: The Visual Recursion Task (VRT), in which an inferred rule is used to represent new hierarchical levels, and the Embedded Iteration Task (EIT), in which additional elements are added to an existing hierarchical level. We found that adult humans can represent recursion in the visuo-spatial domain, and that this ability is distinct from both general intelligence and the ability to represent iterative processes embedded within hierarchical structures. Compared with embedded iteration, visual recursion correlated positively with other recursive planning tasks (Tower of Hanoi), but not with specific visuo-spatial resources (spatial short-term memory and working memory). We conclude that humans are able to use recursive representations to process complex visuo-spatial hierarchies and that our visual recursion task taps into specific cognitive resources. This method opens exciting opportunities to explore the relationship between visual recursion and language.Keywords Recursion . Iteration . Cognition . Vision .
Fractals . RepresentationThe capacity to understand and generate complex hierarchies is one of the most fascinating features of human cognition. In many domains, including language, music, problem-solving, action-sequencing, and spatial navigation, humans organize basic elements into higher-order groupings and structures (Badre, 2008;Chomsky, 1957;Hauser, Chomsky, & Fitch, 2002; Nardini, Jones, Bedford, & Braddick, 2008;Unterrainer & Owen, 2006;Wohlschlager, Gattis, & Bekkering, 2003). This ability to encode the relationship between basic elements (words, people, etc.) and the broader structures in which these are embedded (sentences, corporations, etc.), affords flexibility to human behavior. For example, in action sequencing, and unlike pure serial associative behavior, hierarchical representations allow the omission or modification of certain steps, without impairing the overall goal.Here, we define hierarchies as non-cyclical tree-like organizations, where higher levels incorporate multiple lower levels in structural representations (Fitch & Martins, 2014), i.e., in which elements are embedded within other elements. This embedding can refer to the grouping of constituents within a higher order set, such as the grouping of individuals within a family (family = {ind1; ind2; ind3}), or it can refer to the establishment of asymmetrical dominance-subordination relationships between constituents, such as in social hierarchies (ind1 dominant over ind2, ind2 dominant over ind3, etc.).Electronic supplementary material The online version of this article