The affirmation of self: a new perspective on the immune system
Artificial Life
Artificial immune systems---today and tomorrow
Natural Computing: an international journal
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Biological inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Non-deterministic Explanation of Immune Responses: A Computer Model
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Relevance of pattern recognition in a non-deterministic model of immune responses
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
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Immune phenomena are explained from the reductionist view of the immune system as a collection of cells, molecules, and their interactions. Although this approach has produced abundant valuable information, it has added increased complexity. Artificial Immune Systems (AIS) have relied on this theoretical framework to emulate the desired characteristics of immunity. However, the complexity of the theoretical base has lead to an impasse in AIS research, suggesting that a new theoretical framework is needed. A theoretical model is presented here that explains immune responses as a "swarm function". The model proposes a system based on two stochastic networks: a central recursive network, wherein the proportion of agents is determined and maintained, and a peripheral network, wherein the random interactions of these agents determine if an inflammatory response will emerge from the system.