Weadvance a knowledge-based learning method that augments conventional generalization to permit concept acquisition in failure domains. These are domains in whichlearning must pro...
We propose an evolutionary framework for studying agents that interact in electronic marketplaces. We describe how this framework could be used to study the dynamics of interactio...
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
This paper focuses on agent-based approach to study the relationship between the individual behavior of participants and the overall development of a virtual community, to help pe...
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....