Representing and Managing Narratives in a Computer-Suitable Form

International audienceno abstrac

Differentiating Between "Functional" and "Semantic" Roles in a HighLevel Conceptual Data Modeling Language

International audienceno abstrac

Bridges between the Methodological and Practical Work of the Robotics and Cognitive Systems Communities – From Sensors to Concepts

International audienceno abstrac

The impact of life experiences on risk taking

Introduction to the Special Issue of the Journal of Economic Psychology on "The Impact of Life Experiences on Risk Taking" (Guest Editors: Peter Ayton; Gennaro Bernile; Alessandro Bucciol; Luca Zarri)

Semantic framework for context-aware monitoring of AAL ecosystems

International audienceThe Web of Objects is a new emerging concept that represents a new way of organizing physical or immaterial objects—or things—delivering a high level of services that can be discovered, composed, executed, and monitored. Building an ambient assisted living (AAL) ecosystem, according to this vision, is of great interest since it consists of multiple heterogeneous objects that need to be semantically and automatically interoperable. In this chapter, a new semantic framework for monitoring the AAL heterogeneous ecosystems is presented. This framework deals with context awareness and closed-world assumption (CWA) semantic reasoning in designing management rules and ontologies. It preserves, on one hand, the structural expressiveness provided by ontologies, through the compatibility with the W3C recommendations and, on the other hand, it takes advantage of the full benefit of the production rule reasoning. It is capable of dynamically detecting real-world objects and capturing their contexts, in order to identify the specific changes that are happening in the environment, to infer the current situation and to react accordingly. Context management is designed by combining the micro-concept ontology language into a set rules and queries using the SEMbySEM business rule language. These rules allow us to express high-level reasoning over context events, sent from the façade, while the queries allow us to generate high-level monitoring views, concerning manageable objects status and context, as well as their measures and produced activities. Conversely, the monitoring rules can trigger control actions that are translated, by the façade, into concrete operations on the targeted manageable object. In order to validate the proposed framework, a scenario dedicated to the safety of elderly people in smart homes is proposed and implemented hereby

Narrative reasoning for cognitive ubiquitous robots

International audienceThe symbolic spatio-temporal reasoning is one of the major research challenges aiming to increase the autonomy and cognitive capabilities of ubiquitous robots in ambient intelligent systems. In these environments, there are several situations that are governed by complex processes and where multiple events must be correlated with respect to their spatial and temporal ordering to infer the right situation and to take the right decision. Inferring everyday human activities is a typical example that illustrates the complexity of spatiotemporal modeling and reasoning at a high semantic level. The ambition of this paper is to explore the potential of the narrative representation and reasoning for recognizing and understanding situations. This approach uses hierarchical structures of semantic predicates and functional roles of the Narrative Knowledge Representation Language (NKRL) and allows semantic descriptions of entities, events and relationships between events. A scenario dedicated to the monitoring, in smart home, of elderly people is presented and analyzed to show the feasibility of the proposed approach and its capacity to explain causal chains between observed events

Semantic and architectural approach for Spatio-Temporal Reasoning in Ambient Assisted Living

International audienceno abstrac