A novel framework for symbol grounding in artificial agents is presented, which relies on the key idea that concepts "emerge" implicitly at the perceptual level as clusters of points with similar features forming homogeneous regions in multiple perceptual Conceptual Spaces (pCS). Such spaces describe percepts such as color, texture, shape, and position that in turn are the properties of the objects populating the agent's environment. Objects are represented in a suitable object Conceptual Space where all their features are composed together again using clustering in pCSs. Symbols will be learned from such a tensor space. A detailed description of both the framework and its theoretical foundations are reported and discussed in this work.
Pirrone, R., & Chella, A. (2018). Grounding concepts as emerging clusters in multiple conceptual spaces. In CEUR Workshop Proceedings. CEUR-WS.
|Autori:||Pirrone, R.; Chella, A.|
|Titolo:||Grounding concepts as emerging clusters in multiple conceptual spaces|
|Nome del convegno:||2019 Papers of the Towards Conscious AI Systems Symposium, TOCAIS 2019|
|Luogo del convegno:||Stanford University, usa|
|Anno del convegno:||2019|
|Data di pubblicazione:||2018|
|Numero di pagine:||6|
|Citazione:||Pirrone, R., & Chella, A. (2018). Grounding concepts as emerging clusters in multiple conceptual spaces. In CEUR Workshop Proceedings. CEUR-WS.|
|Tipologia:||0 - Proceedings (TIPOLOGIA NON ATTIVA)|
|Appare nelle tipologie:||0 - Proceedings (TIPOLOGIA NON ATTIVA)|