Emergence of Interaction among Adaptive Agents

Abstract

Abstract. Robotic agents can self-organize their interaction with the environment by an adaptive "homeokinetic" controller that simultaneously maximizes sensitivity of the behavior and predictability of sensory inputs. Based on previous work with single robots, we study the interaction of two homeokinetic agents. We show that this paradigm also produces quasi-social interactions among artificial agents. The results suggest that homeokinetic learning generates social behavior only in the the context of an actual encounter of the interaction partner while this does not happen for an identical stimulus pattern that is only replayed. This is in agreement with earlier experiments with human subjects.

Perceptual crossing: the simplest online paradigm

“…The models have suggested possible underlying mechanisms: Simple feedback rules; small recurrent neural networks exploiting agent-environment interaction (Iizuka and DiPaolo, 2007; Di Paolo et al, 2008; Rohde, 2010; ch. 6 and 7; Froese and Di Paolo, 2011); homeokinetic forward modeling (Martius et al, 2008) and model predictions were tested against empirical data. New variations of the perceptual crossing paradigm were tested in simulation (Iizuka and DiPaolo, 2007; Rohde and Di Paolo, 2008) and were implemented later on (Iizuka et al, 2009, 2012a; Lenay et al, 2011).…”

“…Martius et al ( 2008 ) modeled the perceptual crossing experiment with simulated agents that were controlled by a homeokinetic controller. Homeokinesis consists of a simultaneous maximisation of sensitivity to changes in inputs and predictability of future sensory inputs.…”

Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics

“…Auvray's perceptual crossing paradigm showed the same analogy in adult studies. Some model studies (Iizuka & Di Paolo, 2007;Martius, Nolfi, & Herrmann, 2008) simulating Auvray's findings have postulated that social interaction may lead to agency detection of each other when mutual anticipation is formed dynamically. In another line of research, Wolpert, Doya, and Kawato (2003) postulated that anticipatory competency for others by means of mirror neurons (Rizzolatti, Fadiga, Galless, & Fogassi, 1996) can lead to agency detection in the theory-of-mind context.…”

Goal-Oriented Control of Self-Organizing Behavior in Autonomous Robots

“…Another fascinating topic is the interaction of multiple homeokinetic agents, where first insights have been obtained by the author [92]. According to Luc Steels, one of the research challenges in the evolution of communication is "how populations of agents can self-organize a shared repertoire of discrete building blocks grounded in a continuous physical medium" [151].…”