This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
In this paper we present our approach of improving the traditional alpha-beta search process for strategic board games by modifying the method in two ways: 1) forgoing the evaluat...
The confluence of virtual reality and artificial life, an emerging discipline that spans the computational and biological sciences, has yielded synthetic worlds inhabited by reali...
Embodied Conversational Agents (ECAs) are life-like computer generated characters that interact with human users in face-to-face multi-modal conversations. ECA systems are general...
Hung-Hsuan Huang, Toyoaki Nishida, Aleksandra Cere...
This paper addresses the issue of emergence of robust cooperation among self-interested agents interacting in N-player social dilemma games. A series of graphs are created each ex...