Parallel distributed processing: explorations in the microstructure of cognition, vol. 2: psychological and biological models
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Updating mean and variance estimates: an improved method
Communications of the ACM
Handbook of Practical Logic and Automated Reasoning
Handbook of Practical Logic and Automated Reasoning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Reasoning Processes in Propositional Logic
Journal of Logic, Language and Information
Integrating perception and cognition for AGI
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
A cognitive architecture based on dual process theory
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
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We present the transparent neural networks, a graph-based computational model that was designed with the aim of facilitating human understanding. We also give an algorithm for developing such networks automatically by interacting with the environment. This is done by adding and removing structures for spatial and temporal memory. Thus we automatically obtain a monolithic computational model which integrates concept formation with deductive, inductive, and abductive reasoning.