The creative mind: myths and mechanisms
The creative mind: myths and mechanisms
Journal of Experimental & Theoretical Artificial Intelligence
Emergence: from chaos to order
Emergence: from chaos to order
Dynamics of complex systems
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Designing creative artificial systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Complex Systems, Artificial Intelligence and Theoretical Psychology
Proceedings of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006
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The paper proposes that knowledge based systems must be designed as complex adaptive systems and any other approach is not fundamental, even if sometimes it yields good results. Complex systems are characterized as having global behavior not always explainable from local behavior. Here we propose that the way we perceive knowledge in AI needs to change to Complex Adaptive, hence the need for a paradigm shift is stressed. Almost all historical KBS were not complex systems in an authentic sense. But it is not a good idea to criticize them because with available resources and theories, they did their best. Sooner or later, we will have to design our KBS as complex adaptive systems, so why not sooner. There are three mechanisms that must be part of any knowledge based system, viz., Interdependency and fluidity, mechanisms for attribution of emergent properties and self-organization.