A Framework for Modeling and Simulation of the Artificial
AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH
Pagination or Media Count:
Artificial systems that generate contingency-based teleological behaviors in real-time, are difficult to model. This chapter describes a modeling and simulation MS framework designed specifically to reduce this difficulty. The described Knowledge-based Contingency-driven Generative Systems KCGS framework combines aspects of SES theory, DEVS-based general systems theory, net-centric heterogeneous simulation, knowledge engineering, cognitive modeling, and domain-specific language development using meta-modeling. The chapter outlines the theoretical and technical foundations of the KCGS framework as realized in the Cognitive Systems Specification Framework CS2F, a subset of KCGS. Two executable models are described to illustrate how models of autonomous, goal-pursuing cognitive systems can be modeled and simulated in the framework. The technical content and agent descriptions in the chapter illustrate how the MS of the artificial depends critically on ontology, epistemology, and teleology in the KCGS framework.
- Computer Programming and Software