6533b837fe1ef96bd12a27ea

RESEARCH PRODUCT

QUALITATIVE MODELING OF CELL GROWTH PROCESSES

Claudio NicoliniF. BonadonnaEdoardo ArdizzoneS. GaglioCarmelina RuggieroFilippo Sorbello

subject

Computer sciencebusiness.industryManagement sciencemedia_common.quotation_subjectcomputer.software_genreExpert systemCancer treatmentPresentationQualitative physicsKnowledge baseArtificial IntelligenceLispArtificial intelligencebusinesscomputercomputer.programming_languagemedia_common

description

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.

https://doi.org/10.1080/08839518808949910