Boicho Kokinov
Papers
3
Total Citations
41
H-Index
3
About
Boicho Kokinov is a cognitive scientist and AI researcher whose work sits at a fascinating intersection of analogy-making, cognitive modeling, and robotics. His research explores how analogical reasoning — the ability to draw meaningful comparisons between situations — can be harnessed to build more intelligent, anticipatory artificial systems. Kokinov has made notable contributions to understanding how analogy-making interacts with active vision and motor control, proposing that these cognitive processes are deeply intertwined rather than isolated functions. His most influential work, "The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots" (2008), has garnered 28 citations and represents a landmark effort in demonstrating how robots can leverage analogical thinking to anticipate future states and actions. Building on this, his research on analogy-based anticipation in robots offers a compelling framework for developing machines that reason more like humans. Kokinov's broader agenda centers on endowing artificial systems with genuinely anticipatory capabilities, moving AI beyond reactive behavior toward proactive, context-sensitive intelligence — a contribution that continues to inspire researchers working at the boundary of cognitive science and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Building Robots with Analogy-Based Anticipation10 citations · 2007
- 3