Multilayered cellular automata
Theoretical Computer Science - Special issue: cellular automata
Computing in Science and Engineering
Proceedings of the second international workshop on Multi-agent based simulation
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Multi agent based simulation: beyond social simulation
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Mathematical Modeling of the Immune Response
Mathematical Modeling of the Immune Response
IMMSIM, a flexible model for in machina experiments on immune system responses
Future Generation Computer Systems - Cellular automata CA 2000 and ACRI 2000
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Multi-Agent-Based Simulation III: 4th International Workshop, Mabs 2003, Melbourne, Australia, July 2003: Revised Papers (LECTURE NOTES IN COMPUTER SCIENCE)
Transactions on Computational Systems Biology II (Lecture Notes in Computer Science)
Transactions on Computational Systems Biology II (Lecture Notes in Computer Science)
Supporting Action-at-a-distance in Situated Cellular Agents
Fundamenta Informaticae
Proceedings of the 3rd international conference on Multi-agent-based simulation II
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Towards a methodology for situated cellular agent based crowd simulations
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
On model design for simulation of collective intelligence
Information Sciences: an International Journal
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The Immune System (IS) is the main defense mechanism of higher level organisms to antigens (microscopic threats, such as viruses and bacteria). It is a very complex system, genuinely distributed and providing mechanisms of adaptation to unknown threats. The most relevant characteristics of the IS, such as learning capabilities and the possibility to tackle unknown threats in any part of the body, are a consequence of interactions among its composing parts. This paper describes a Multi-Agent Systems modeling approach to the study of interactions in the IS, adopting the Situated Cellular Agents (SCA) model. After a brief description of the IS, an overview of current modeling and simulation approaches will be given. The SCA model will be then introduced and exploited in order to model some relevant elements and mechanisms of the IS. This work is one of the results of an interdisciplinary research that has involved immunologists of the Advanced Biotechnology Center of Genova and computer scientists of the University of Milan-Bicocca.