In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Agent-based modelling approaches are usually based on logical languages, whereas in many areas dynamical system models based on differential equations are used. This paper shows ho...
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...
We consider example-critiquing systems that help people search for their most preferred item in a large catalog. We first analyze how such systems can help users in the framework ...
Organizations involving multiple agents require adaptation mechanisms to guarantee robustness, especially in critical domains. This paper presents an organizational template to ai...