Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Social reasoning theories, whilst studied extensively in the area of multiagent systems, are hard to implement directly in agents. They often specify properties of beliefs or behav...
The central problem in computational mechanism design is the tension between incentive compatibility and computational ef ciency. We establish the rst significant approximability ...
Christos H. Papadimitriou, Michael Schapira, Yaron...
Although approaches to User Centered Software Development have existed for almost 20 years a rift still exists between theory and practice. In practice, many software projects are...
Motivated and informed by perspectives on sustainability and design, this paper draws on a diverse body of scholarly works related to energy and materiality to articulate a perspe...