Jared Wigmore
Papers
2
Total Citations
31
H-Index
2
About
Jared Wigmore is a pioneering researcher in artificial general intelligence (AGI), whose work centers on cognitive architectures that bridge human-like reasoning and machine learning. His most influential contribution is the 2012 paper "The Architecture of Human-Like General Intelligence" (19 citations), which proposes an integrative cognitive model by synthesizing multiple AGI frameworks into a holistic diagram of human-level intelligence. This work provides a foundational blueprint for understanding how disparate cognitive processes can unify into a general intelligence system. Wigmore further advanced the field with his 2011 study "Cognitive Synergy between Procedural and Declarative Learning" (12 citations), introducing the concept of "cognitive synergy"—a dynamic, mutually reinforcing feedback loop between procedural and declarative memory systems. Applied to the OpenCogPrime AGI architecture, this idea demonstrates how animated and robotic agents can achieve more adaptive, human-like control. Wigmore’s research is notable for its theoretical depth and practical implications, offering a roadmap for building AGI systems that learn and reason with the fluidity of biological minds. His work continues to inspire researchers exploring integrative, synergy-driven approaches to general intelligence.
Research Focus
Key Achievements
Top Papers
- 1The Architecture of Human-Like General Intelligence19 citations · 2012
- 2