A neural dynamic intentional agent
- Prof. Dr. Gregor Schöner
- /
- September 4, 2024
How situated, embodied agents may achieve goals using knowledge is a central challenge for a neural theory of natural and artificial intelligence. A new paper by Jan Tekülve and Gregor Schöner borrows terms from Searle’s analysis of intentionality to structure a neural dynamic architecture that illustrates a possible route to such a theory. Intentional states are instantiated by neural activation patterns that are stabilized by neural interaction. Their dynamic instabilities enable the autonomous generation of sequences of intentional states. In a toy demonstration, an intentional agent is grounded in perception and action and generates memories and action plans. It autonomously learns beliefs that it activates to achieve desired outcomes.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210