The kernel mechanism for handling assumptions and justifications and its application to the biotechnologies
In fields such as medicine and biology knowledge is still empirical and in rapid development. It is therefore needed to develop theories and systems for handling incomplete -thus possibly contradictory- knowledge, in order to be able to incorporate new knowledge that arises from the interpretation of the experimental outcomes and to acquire knowledge by communicating with other (human or artificial) experts.
The paper presents the kernel of a set of possible knowledge-based systems that integrate assumptions and justifications for the interpretation of new knowledge in order to control the possible non-monotonic reasoning processes.
The behaviour of the system is described by means of examples taken by an advisor for decision making in performing laboratory experiments for the production of monoclonal antibodies which is currently under study.
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