Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
We introduce CUI networks, a compact graphical representation of utility functions over multiple attributes. CUI networks model multiattribute utility functions using the well stu...
This paper discusses the important issue of knowledge base comprehensibility and describes a technique for comprehensibility improvement. Comprehensibility is often measured by si...
Atsushi Sugiura, Maximilian Riesenhuber, Yoshiyuki...
This paper presents some of the key techniques for reaching agreements in multi-agent environments. It discusses game-theory and economics based techniques: strategic negotiation, ...
Modular robots represent a perfect application scenario for multiagent coordination. The autonomous modules composing the robot must coordinate their respective activities to enfor...