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This paper overviews the interactivist model of representation and its applications in artificial intelligence (AI) and intelligent robotics. Selected examples from approaches in AI and robotics are contrasted with the generic interactivist architecture in order to illustrate specific features of it. Petitage, an artificial agent that instantiates our interactivist-expectative theory of agency and learning (IETAL), is discussed in detail from the interactivist perspective.

In this paper we take an interactivist perspective on the computer-mediated classroom, and explore the autopoietic teaching approach in the context of emergence of diversity in the classroom. The POPSICLE (Patterns in Orientation: Pattern-Aided Simulated Interaction Context-Learning Experiment) is presented and discussed, as well as its multiple consequences. POPSICLE is a study of learning in human subjects, as well as of interaction and transfer of knowledge between subjects in a collaborative environment.

The paper introduces lattice-valued fuzzy lattices. Two types of L-fuzzy lattices are defined, and their connection is observed. The first type of fuzzy lattices is obtained via fuzzification of the membership to the carrier, and the second via fuzzification of the ordering relation in a crisp lattice. It is proved that the two approaches are equivalent, similarly as in the crisp lattice theory.