Abductive diagnosis is an important method to identify explanations for a given set of observations. Unfortunately, most of the algorithmic problems in this area are intractable. ...
In group decision-making problems that involve selfinterested agents with private information, reaching socially optimal outcomes requires aligning the goals of individuals with t...
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
This paper is concerned with the problem of structured data extraction from Web pages. The objective of the research is to automatically segment data records in a page, extract da...
Despite the significant progress to extend Markov Decision Processes (MDP) to cooperative multi-agent systems, developing approaches that can deal with realistic problems remains ...