Cooperative knowledge evolution: a construction-integration approach to knowledge discovery in medicine.
In this paper, we perform a cognitive analysis of knowledge discovery processes. As a result of this analysis, the construction-integration theory is proposed as a general framework for developing cooperative knowledge evolution systems. We thus suggest that for the acquisition of new domain knowledge in medicine, one should first construct pluralistic views on a given topic which may contain inconsistencies as well as redundancies. Only thereafter does this knowledge become consolidated into a situation-specific circumscription and the early inconsistencies become eliminated. As a proof for the viability of such knowledge acquisition processes in medicine, we present the IDEAS system, which can be used for the intelligent documentation of adverse events in clinical studies. This system provides a better documentation of the side-effects of medical drugs. Thereby, knowledge evolution occurs by achieving consistent explanations in increasingly larger contexts (i.e., more cases and more pharmaceutical substrates). Finally, it is shown how prototypes, model-based approaches and cooperative knowledge evolution systems can be distinguished as different classes of knowledge-based systems.
Schmalhofer
F J
FJ
German Research Center for Artificial Intelligence, Kaiserslautern, Germany. schmalho@dfki.uni-kl.de
Tschaitschian
B
B
D001185:Artificial Intelligence; D003661:Decision Support Techniques; D004282:Documentation; D006801:Humans; D016247:Information Storage and Retrieval; D008491:Medical Informatics Applications; D008492:Medical Informatics Computing; D012984:Software