Our research issue represents one of the central questions in Artificial Life research: how new complexity and new functionality may emerge as autonomous agent's behavior? We propose a selectionist architecture defined as a set of dynamical systems running on a co-operative dynamics architecture. Furthermore we propose a language called PDL implemented on top of C. The overall task of the system is to remain viable the environment by evolving an appropriate set of behavior systems which ultimately guarantees its survival. We make a distinction between emergence of a set of basic functionalities such as forward movement, turning away from obstacles, orientation towards a light source etc. and a secondary repertoire which combines primary (or secundary) behaviors by manipulating their behaviour altendencies. A functionality may emerge from the interaction of different behaviors, for example, bluephotoaxis together with touch-based obstacle avoidance implements "drive into the charging station". Case Study: Integrating vision modules into a co-operative dynamics architecture of behavior oriented autonomous agent able to exhibit emergent behaviour: behavior modules applied to "tracking".
Effective start/end date20/07/9619/07/97

    Flemish discipline codes

  • Mathematical sciences

    Research areas

  • informatica

ID: 2717719