Abstract
Immune system (IS) simulations have several applications. such as biological theory testing or as a complement in the development of improved drugs. This paper presents an agent based approach to simulate the IS response to bacterial infection challenge. The agent simulator is implemented in a discrete time and two- dimensional space, and composed by two layers: A) a specialized cellular automata responsible for substance diffusion and reactions; and b) the layer where agents move, act and interact. The IS model focuses upon low level cellular receptor interactions, receptor diversity and genetic-ruled agents, aiming to observe and study the resultant emergent behavior. The model reproduces the following IS behavioral characteristics: specificity and specialization, immune memory and vaccine immunization.
| Original language | English |
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| Pages | 252-257 |
| Number of pages | 6 |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 22nd Annual European Simulation and Modelling Conference, ESM 2008 - Le Havre, France Duration: 27 Oct 2008 → 29 Oct 2008 |
Conference
| Conference | 22nd Annual European Simulation and Modelling Conference, ESM 2008 |
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| Country/Territory | France |
| City | Le Havre |
| Period | 27/10/08 → 29/10/08 |
Keywords
- Agents
- Immune system
- Modeling
- Simulation