We consider the essence of human intelligence to be the ability to mentally (internally) construct a world in the form of stories\nthrough interactions with external environments. Understanding the principles of this mechanism is vital for realizing a humanlike\nand autonomous artificial intelligence, but there are extremely complex problems involved. From this perspective, we propose\na conceptual-level theory for the computational modeling of generative narrative cognition. Our basic idea can be described as\nfollows: stories are representational elements forming an agentâ??s mental world and are also living objects that have the power of\nself-organization. In this study, we develop this idea by discussing the complexities of the internal structure of a story and the\norganizational structure of a mentalworld. In particular,we classify the principles of the self-organization of a mentalworld into five\ntypes of generative actions, i.e., connective, hierarchical, contextual, gathering, and adaptive. An integrative cognition is explained\nwith these generative actions in the form of a distributed multiagent system of stories.
Loading....