A dynamic field architecture for the generation of hierarchically organized sequences
2012 (English)In: Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I / [ed] Alessandro E. P. Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm, Springer Berlin/Heidelberg, 2012, no PART 1, 25-32 p.Conference paper (Refereed)
A dilemma arises when sequence generation is implemented on embodied autonomous agents. While achieving an individual action goal, the agent must be in a stable state to link to fluctuating and time-varying sensory inputs. To transition to the next goal, the previous state must be released from stability. A previous proposal of a neural dynamics solved this dilemma by inducing an instability when a "condition of satisfaction" signals that an action goal has been reached. The required structure of dynamic coupling limited the complexity and flexibility of sequence generation, however. We address this limitation by showing how the neural dynamics can be generalized to generate hierarchically structured behaviors. Directed couplings downward in the hierarchy initiate chunks of actions, directed couplings upward in the hierarchy signal their termination. We analyze the mathematical mechanisms and demonstrate the flexibility of the scheme in simulation. © 2012 Springer-Verlag.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2012. no PART 1, 25-32 p.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 7552 LNCS
Dynamic Field Theory, Hierarchies, Intentionality, Sequences, Dynamic couplings, Dynamic fields, Mathematical mechanisms, Neural dynamics, Sensory input, Sequence generation, Stable state, Time varying, Autonomous agents, Couplings, Dynamics, Neural networks
Computer and Information Science
Research subject Technology
IdentifiersURN: urn:nbn:se:his:diva-8370DOI: 10.1007/978-3-642-33269-2_4ScopusID: 2-s2.0-84867686740ISBN: 978-3-642-33268-5ISBN: 978-3-642-33269-2OAI: oai:DiVA.org:his-8370DiVA: diva2:639517
22nd International Conference on Artificial Neural Networks, ICANN 2012, 11 September 2012 through 14 September 2012, Lausanne