Slice (Social Learning for Intelligent Characters) is one of the most recent projects of INESC-ID. This project’s objective is to develop and validate an authoring-friendly framework for the creation of transparent social intelligent agents capable of being deployed as virtual characters in training simulations or games, or used to drive the behavior of social robots. This framework joins two until now disparate areas of artificial intelligence research, namely, social agent architectures and machine learning.
By using machine learning techniques over a solid social theory foundation that defines the structure of the learning task, our framework provides a new methodology where authors can create intelligent characters by providing examples of social interaction.
The INESC-ID team is coordinated by Pedro Santos from ISS and is composed of researchers Rui Prada, João Dias, and Manuel Lopes.