In [1] we propose interchangeability based algorithms as methods for solving the case adaptation for the domain of problems which can be expressed as Constraint Satisfaction Proble...
We present a simple and uniform communication framework for an agent-based market infrastructure, the goal of which is to enable automation of consumer goods markets distributed ov...
Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
Multi-agent systems result from interactions between individual agents. Through these interactions different kinds of relationships are formed, which can impact substantially on t...
In this paper, we present a global scheme for encoding/ decoding natural video sequences with partial 3D models. This technique is based on a robust estimation of a constrained de...