Name
Title | ||
|---|---|---|
Metamodeling the learning-hiding competition between tumours and the immune system: A kinematic approach |
Abstract | ||
|---|---|---|
The competitive interaction between the Immune System and tumours is very complex, being non-linear and, to some extent, evolutionary. A fundamental aspect of this evolution is the asynchronous process of mutual learning of the two populations involved - the tumoural and the immune cells. In this work, to describe them, we propose a simple non-linear family of super-macroscopic models with non-monotonically time-varying coefficients. Numerical simulations of transitory phases complement the theoretical analysis. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.mcm.2010.01.012 | Mathematical and Computer Modelling |
Keywords | Field | DocType |
fundamental aspect,learning,learning-hiding competition,super-macroscopic model,immune system,simple non-linear family,tumour,time-varying parameters,non-monotonically time-varying coefficient,competitive interaction,mutual learning,dynamical systems,immune cell,asynchronous process,numerical simulation,kinematic approach,dynamic system | Asynchronous communication,Mathematical optimization,Kinematics,Control theory,Dynamical systems theory,Artificial intelligence,Immune system,Mutual learning,Metamodeling,Mathematics | Journal |
Volume | Issue | ISSN |
52 | 1-2 | Mathematical and Computer Modelling |
Citations | PageRank | References |
1 | 0.41 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlo Cattani | 1 | 92 | 26.22 |
| ARMANDO CIANCIO | 2 | 15 | 3.22 |
| Alberto D'Onofrio | 3 | 143 | 17.19 |