The society of mind
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Modular and hierarchical learning systems
The handbook of brain theory and neural networks
Introspective multistrategy learning: on the construction of learning strategies
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Conceptual Information Processing
Conceptual Information Processing
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Human Problem Solving
Approximate Reasoning in MAS: Rough Set Approach
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Approximate Reasoning in MAS: Rough Set Approach
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
A Cognitive Substrate for Natural Language Understanding
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Learning from Inconsistencies in an Integrated Cognitive Architecture
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Toward Rough-Granular Computing
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A wistech paradigm for intelligent systems
Transactions on rough sets VI
I-Cog: a computational framework for integrated cognition of higher cognitive abilities
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Toward perception based computing: a rough-granular perspective
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
An architecture for adaptive algorithmic hybrids
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
An architectural framework for complex cognition
Cognitive Systems Research
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Making progress toward human-level artificial intelligence often seems to require a large number of difficult-to-integrale computational methods and enormous amounts of knowledge about the world. This article provides evidence from linguistics, cognitive psychology, and neuroscience for the cognitive substrate hypothesis that a relatively small set of properly integrated data structures and algorithms can underlie the whole range of cognition required for human-level intelligence. Some computational principles (embodied in the Polyscheme cognitive architecture) are proposed to solve the integration problems involved in implementing such a substrate. A natural language syntactic parser that uses only the mechanisms of an infant physical reasoning model developed in Polyscheme demonstrates that a single cognitive substrate can underlie intelligent systems in superficially very dissimilar domains. This work suggests that identifying and implementing a cognitive substrate will accelerate progress toward human-level artificial intelligence.