Linear Logic for Non-LInear Storytelling

Autor: Bosser, Anne-Gwenn, Cavazza, Marc, Champagnat, Ronan
Přispěvatelé: Champagnat, Ronan, school of computing University of Teesside, University of Teesside, Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR)
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: ECAI 2010
European Conference on Artificial Intelligence
European Conference on Artificial Intelligence, Aug 2010, Lisbon, Portugal. pp.713-718
Popis: International audience; Whilst narrative representations have played a prominent role in AI research, there has been a renewed interest in the topic with the development of interactive narratives. A typical approach aims at generating narratives from baseline action representations, most of- ten using planning techniques. However, this research has developed empirically, often as an application of planning. In this paper, we explore a more rigorous formalisation of narrative concepts, both at the action level and at the plot level. Our aim is to investigate how to bridge the gap between action descriptions and narrative concepts, by considering the latter from the perspective of resource consumption and causality. We propose to use Linear Logic, often introduced as a logic of resources, for it provides, through linear implication, a bet- ter description of causality than in Classical and Intuitionistic Logic. Besides advances in the fundamental principles of narrative formal- isation, this approach can support the formal validation of scenario description as a preliminary step to their implementation via other computational formalisms.
Databáze: OpenAIRE