Year: 2018
Type: preprint
Abstract: In the parable of Simon's Ant, an ant follows a complex path along a beach on to reach its goal. The story shows how the interaction of simple rules and a complex environment result in complex behavior. But this relationship can be looked at in another way - given path and rules, we can infer the environment. With a large population of agents - human or animal - it should be possible to build a detailed map of a population's social and physical environment. In this abstract, we describe the development of a framework to create such maps of human belief space. These maps are built from the combined trajectories of a large number of agents. Currently, these maps are built using multidimensional agent-based simulation, but the framework is designed to work using data from computer-mediated human communication. Maps incorporating human data should support visualization and navigation of the "plains of research", "fashionable foothills" and "conspiracy cliffs" of human belief spaces.
Source: arXiv (Cornell University)
Authors: Feldman, Philip, Dant, Aaron, Lutters, Wayne
Institution: University of Maryland, Baltimore County
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2797607124