Abstract

Communications and categorizations mark the temporality of the possible sequences of network states, and each event thus produced modifies the space of the network by provoking in individual actors various types of learning that present an extensive and intensive dimension. This chapter examines in detail these types of learning and the mobilizations of the network space involved. Like inter‐individual communication, categorization potentially impacts both dimensions of learning. The chapter first discusses learning from inter‐individual communication, and shows that it is synonymous with bringing innovation in a weak sense to the network. It then discusses learning related to categorization, which we will see is likely to introduce novelty in a strong sense within the network. The increasing efficiency of the individual learning process would thus be tempered by the global cognitive network's degree of redundancy.