Fielded object networks as a framework for computer intelligence

Semiotics is becoming the focus of attention of AI researchers due to its interesting capabilities in symbolic processing and knowledge representation. We propose the fielded object network (FON), a framework aimed at integrating many scientific fields related to artificial intelligence (e.g. artificial life and distributed artificial intelligence), in order to acquire a knowledge representation tool capable of performing semiotic processing. Following this trend, this work presents the basis of FON and shows how it can be used to a hierarchical knowledge processing in intelligent systems. To show that, we implement a generalized subsistence machine proposed by Meystel (1996) using a FON approach. We also provide simulation results for an AGV application built under the proposed framework