In this paper we propose an intrinsic developmental algorithm that is designed to allow a mobile robot to incrementally progress through levels of increasingly sophisticated behavior. We believe that the core ingredients for such a developmental algorithm are abstractions, anticipations, and self-motivations. We describe a multilevel, cascaded discovery and… (More)
This paper describes Metacat, an extension of the Copycat model of analogy-making. The development of Copycat focused on modeling context-sensitive concepts and the ways in which they interact with perception within an abstract microworld of analogy problems. This approach differs from most other models of analogy in its insistence that concepts acquire… (More)
We introduce Radical Interactionism (RI), which extends Franklin et al.'s (2013) Cognitive Cycles as Cognitive Atoms (CCCA) proposal in their discussion on conceptual commitments in cognitive models. Similar to the CCCA commitment, the RI commitment acknowledges the indivisibility of the perception-action cycle. However, it also reifies the… (More)
We propose the Small Loop Problem as a challenge for biologically inspired cognitive architectures. This challenge consists of designing an agent that would autonomously organize its behavior through interaction with an initially unknown environment that offers basic sequential and spatial regularities. The Small Loop Problem demonstrates four principles… (More)
This paper explores a philosophy and connectionist algorithm for creating a long-term, self-motivated developmental robot control system. Self-motivation is viewed as an emergent property arising from two competing pressures: the need to accurately predict the environment while simultaneously wanting to seek out novelty in the environment. These competing… (More)
This paper describes Metacat, an extension of the Copycat analogy-making program. Metacat is able to monitor its own processing, allowing it to recognize , remember, and recall patterns that occur in its " train of thought " as it makes analogies. This gives the program a high degree of flexibility and self-control. The architecture of the program is… (More)
This paper summarizes recent work on extending the architecture of the Copycat analogy-making program to include the ability to monitor certain aspects of its own processing as it solves analogy problems. It discusses several important weaknesses of the Copycat model and outlines current efforts aimed at overcoming these limitations.