Action Selection Properties in a Software Simulated Agent
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Modeling adaptive autonomous agents
Artificial Life
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In order to model the cell it is essential to understand the communication system that governs its behaviour. Though it is true that determining the kinetic equations of the biochemistry involved in vital functions is very useful, the management of the information in order for the cell to make the correct physiological decisions is even more so. This can be appreciated in the determinacy of the correct function of oncogenes coding for signal transduction components. We emulate a signal transduction network using behaviour-based systems and the blackboard architecture. Our construct, named Cellulat, allows one to observe two essential aspects of the intracellular signalling networks: (1) the apparent behavioural capabilities and (2) a spatial organization. The first user interfaces for creating a model cell are presented, the ontology used, as well as a simple example for the analysis of a kinase pathway.