Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Implementing a semantic interpreter using conceptual graphs
IBM Journal of Research and Development
The society of mind
The structure-mapping engine: algorithm and examples
Artificial Intelligence
Unified theories of cognition
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Purenet: a modeling program for neurocognitive linguistics
Purenet: a modeling program for neurocognitive linguistics
Human Problem Solving
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Pursuing the Goal of Language Understanding
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
Extending the Soar Cognitive Architecture
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Two Paradigms Are Better Than One, and Multiple Paradigms Are Even Better
ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
On the thresholds of knowledge
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Architectures for intelligent systems
IBM Systems Journal
Conceptual graphs for a data base interface
IBM Journal of Research and Development
Toward a Unified Catalog of Implemented Cognitive Architectures
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
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The book Conceptual Structures: Information Processing in Mind and Machine surveyed the state of the art in artificial intelligence and cognitive science in the early 1980s and outlined a cognitive architecture as a foundation for further research and development. The basic ideas stimulated a broad range of research that built on and extended the original topics. This paper reviews that architecture and compares it to four other cognitive architectures with their roots in the same era: Cyc, Soar, Society of Mind, and Neurocognitive Networks. The CS architecture has some overlaps with each of the others, but it also has some characteristic features of its own: a foundation in Peirce's logic and semiotics; a grounding of symbols in Peirce's twin gates of perception and action; and a treatment of logic as a refinement and extension of more primitive mechanisms of language and reasoning. The concluding section surveys the VivoMind Cognitive Architecture, which builds on and extends the original version presented in the CS book.