We present systems of logic programming agents (LPAS) to model the interactions between decision-makers while evolving to a conclusion. Such a system consists of a number of agents...
Background: The principles of protein folding and evolution pose problems of very high inherent complexity. Often these problems are tackled using simplified protein models, e.g. ...
We present a multi-agent formalism based on extended answer set programming. The system consists of independent agents connected via a communication channel, where knowledge and be...
Davy Van Nieuwenborgh, Marina De Vos, Stijn Heyman...
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Answer set programs with time predicates are useful to model systems whose properties depend on time, like for example gene regulatory networks. A state of such a system at time po...
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chri...