A Commentary on Towards autonomous artificial agents with an active self: Modeling sense of control in situated action

Hao C, Russwinkel N, Haeufle DF, Beckerle P (2023)

Publication Type: Journal article

Publication year: 2023

Journal

Cognitive Systems Research Elsevier

Book Volume: 79

Pages Range: 1-3

DOI: 10.1016/j.cogsys.2022.12.006

Abstract

Kahl et al., (2022) present a computational model of an autonomous agent implemented with an active self. With ideas based on the Free Energy Principle (Friston and Kiebel, 2009), their model tackles the challenge to unify higher-level cognitive activities and lower-level sensorimotor control as the autonomous agent maintains situational awareness while interacting with the environment. While Kahl et al., (2022) focus on modeling a single agent, we argue that this challenge similarly appears in modeling human–robot interaction (HRI). In this commentary, we discuss how the conceptual framework from Kahl et al., (2022) could inspire unified models of physical and cognitive HRI and how the modeling approach from Kahl et al., (2022) can potentially be applied to anticipatory thinking in robotics to support the human in daily life.

Authors with CRIS profile

Chenxu Hao Lehrstuhl für Autonome Systeme und Mechatronik Philipp Beckerle Lehrstuhl für Autonome Systeme und Mechatronik

Involved external institutions

Universität zu Lübeck DE Germany (DE) Hertie-Institut für klinische Hirnforschung DE Germany (DE)

How to cite

APA:

Hao, C., Russwinkel, N., Haeufle, D.F., & Beckerle, P. (2023). A Commentary on Towards autonomous artificial agents with an active self: Modeling sense of control in situated action. Cognitive Systems Research, 79, 1-3. https://doi.org/10.1016/j.cogsys.2022.12.006

MLA:

Hao, Chenxu, et al. "A Commentary on Towards autonomous artificial agents with an active self: Modeling sense of control in situated action." Cognitive Systems Research 79 (2023): 1-3.

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