Bayesian and non-Bayesian evidential updating
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Non-axiomatic reasoning system: exploring the essence of intelligence
Non-axiomatic reasoning system: exploring the essence of intelligence
The Automation of Proof: A Historical and Sociological Exploration
IEEE Annals of the History of Computing
Proceedings of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Stages of Ethical Development in Artificial General Intelligence Systems
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
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A novel theory of stages in cognitive development is presented, loosely corresponding to Piagetan theory but specifically oriented toward AI systems centered on uncertain inference components. Four stages are articulated (infantile, concrete, formal and reflexive), and are characterized both in terms of external cognitive achievements (a la Piaget) and in terms of internal inference control dynamics. The theory is illustrated via the analysis of specific problem solving tasks corresponding to the different stages. The Novamente AI Engine, with its Probabilistic Logic Networks uncertain inference component and its embodiment n the AGI-SIM simulation world, is used as an example throughout.