We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...
This paper investigates methods to automatically infer structural information from large XML documents. Using XML as a reference format, we approach the schema generation problem ...
We propose a design theory that tackles dynamic complexity in the design for Information Infrastructures (IIs) defined as a shared, open, heterogeneous and evolving socio-technica...
We consider the issue of representing coalitional games in multiagent systems with externalities (i.e., in systems where the performance of one coalition may be affected by other ...
Tomasz P. Michalak, Talal Rahwan, Jacek Sroka, And...
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...