期刊
FRONTIERS IN NEUROROBOTICS
卷 14, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fnbot.2020.00004
关键词
cognitive maps; manipulation of objects; dynamical systems; semantic description; neural networks
资金
- Russian Science Foundation [19-12-00394]
- Spanish Ministry of Science, Innovation and Universities [FIS2017-82900-P]
- Russian Science Foundation [19-12-00394] Funding Source: Russian Science Foundation
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.
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