AUTHOR=Calvo Tapia Carlos , Villacorta-Atienza José Antonio , Díez-Hermano Sergio , Khoruzhko Maxim , Lobov Sergey , Potapov Ivan , Sánchez-Jiménez Abel , Makarov Valeri A. 

TITLE=Semantic Knowledge Representation for Strategic Interactions in Dynamic Situations

JOURNAL=Frontiers in Neurorobotics

VOLUME=14

YEAR=2020

URL=https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2020.00004

DOI=10.3389/fnbot.2020.00004

ISSN=1662-5218

ABSTRACT=<p>Evolved living beings can anticipate the consequences of their actions in complex multilevel dynamic situations. This ability relies on abstracting the meaning of an action. The underlying brain mechanisms of such semantic processing of information are poorly understood. Here we show how our novel concept, known as time compaction, provides a natural way of representing semantic knowledge of actions in time-changing situations. As a testbed, we model a fencing scenario with a subject deciding between attack and defense strategies. The semantic content of each action in terms of lethality, versatility, and imminence is then structured as a spatial (static) map representing a particular fencing (dynamic) situation. The model allows deploying a variety of cognitive strategies in a fast and reliable way. We validate the approach in virtual reality and by using a real humanoid robot.</p>