2016

Heure:	14:00 - 15:00
Lieu:	Salle B107, bâtiment B, Université de Villetaneuse
Résumé:	Towards narrative generation of spatial experiences in service robots
Description:	Jorge Garcia Flores We propose a first approximation to the generation of narrative experiences by a service robot. The goal of such narratives is to communicate in a brief, structured and natural way what the robot recently experienced while solving a task. We structure the narrative's elements into blocks guided by the spatial areas the robot visited. We also include a mechanism to mention failures, and template-based natural language generation. At this state of our research we include movement, manipulation and visual events. We evaluate our approach comparing the generated narratives with descriptions produced by humans after having followed the same robot's trajectory and performed the same robot's activities. We use the ROUGUE-L automatic evaluation metric and a survey in order to measure the narrative quality of the robot's description. Results show that while the robot generated narratives have close to human completeness scores, they still lack of readability and fluency.

Heure:	14:00 - 15:00
Lieu:	Salle B107, bâtiment B, Université de Villetaneuse
Résumé:	Abstraction, Entropy and Computing Formats
Description:	Luis A. Pineda In this talk a theory for the diagrammatic representation and computation of finite discrete functions and abstractions is presented. The theory is defined in terms of two basic operations that are computed directly on tables: the func- tional abstrac tion and the functional application or reduction. However, unlike the analogous operations of the lamba-calculus, these operations are not fully re- versible and the system has an inherent information loss. For this, abstractions have an associated entropy value that measures their degree of indeterminacy or information content. The theory is applied to the definition and construction of an associative memory, where the information is accessed by content, with its associated memory register, recognition and retrieval operations. A case study in visual memory with very promising preliminary results is presented. The overall theory suggests a comprehensive view or space of possible compu- tations that is defined in relation to (1) the trade-off between extensional and intensional forms of expressing information and (2) the formats employed in computations. This trade-off underlies the knowledge representation trade-off of articial intelligence and cognitive science.The computing formats, in turn, range from the linguistic format, whose paradigmatic case is the Turing Machine, to fully distributed formats including neural networks and the diagrammatic format.The view suggests that the trade-off between extensions and intensions is the manner in which the entropy of abstractions surface in the linguistic format. It also supports the case of direct representation in AI and the case of images in the imagery debate, and helps to clarify the opposition between symbolic and sub-symbolic computations. Finally, the implications of the view for learning, creativity, embodied and situated cognition, and for the distinction between "artificial" and "natural” computations are briefly discussed.