QUALITATIVE MODELING OF CELL GROWTH PROCESSES
E. ARD ZZONE, F. Bonadonna, Salvatore Gaglio, C. NICOUNI, C. Ruggiero, Filippo Sorbello · Applied Artificial Intelligence · 1988
In this paper we present a qualitative physics model to reason about cell growth processes and cell-drug interactions, to be used in the knowledge base of NEWCHEM, an expert system intended to guide experimentation in the design of new optimal protocols in cancer treatment, After a brief discussion of the contributions that artificial intelligence techniques could make in cancer research and a brief presentation of some currently developed expert systems, some details of the proposed model based on the Forbus and Kuipers approaches to qualitative physics are given and its implementation as a LISP program is briefly discussed.