Controlling Combinatorial Explosion in Inference via Synergy with Nonlinear-Dynamical Attention Allocation

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• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9782
• 期：1
• 页码：334-343
• 全文大小：385 KB
• 参考文献：1.Project tuffy. http://​hazy.​cs.​wisc.​edu/​hazy/​tuffy/​doc/​
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• 作者单位：Ben Goertzel (16) (17)
  Misgana Bayetta Belachew (16) (17) (19)
  Matthew Ikle’ (18)
  Gino Yu (19)
  
  16. OpenCog Foundation, Hong Kong, China
  17. Hanson Robotics, Hong Kong, China
  19. School of Design, Hong Kong Poly U, Hong Kong, China
  18. Adams State University, Alamosa, USA
  
• 丛书名：Artificial General Intelligence
• ISBN：978-3-319-41649-6
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9782

文摘

One of the core principles of the OpenCog AGI design, “cognitive synergy”, is exemplified by the synergy between logical reasoning and attention allocation. This synergy centers on a feedback in which nonlinear-dynamical attention-spreading guides logical inference control, and inference directs attention to surprising new conclusions it has created. In this paper we report computational experiments in which this synergy is demonstrated in practice, in the context of a very simple logical inference problem.