F. Celada and P. E. Seiden. A computer model of cellular interactions in the immune system. Immunology Today, 13:56, 1992. Home/Search Document Not in Database Summary Related Articles Check |
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Stochastic Stage-structured Modeling of the Adaptive.. - Chao, Davenport.. (2003) (Correct)
....individuals can exhibit different responses to the same antigen [26] Because small numbers of cells are involved at the beginning of an immune response [7,16] using a discrete model might be more suitable than a continuous one. The existing agent based models of the immune system, such as IMMSIM [10, 23, 39], the B cell model of Smith et al. 41] and the self nonself discrimination model of Langman and Cohn [11, 24] take advantage of these features. Another advantage of agent based models is that by explicitly representing the individual cells, they are in many ways closer to the modeled system. In ....
F. Celada and P. E. Seiden. A computer model of cellular interactions in the immune system. Immunol Today, 13(2):56-- 62, 1992.
A Systemic Metaphor Of Multi-Agent Coordination In.. - Borghoff, Bottoni.. (1996) (Correct)
....sent and received, and the stack constitute the memory of the agent, i.e. its state. To simulate the immunocomplex formation process in the circulatory system, antibodies, antigens, and immunocomplexes are defined as agents whose state variable contains their binding sites (for more details see (Celada and Seiden 1992) ) At each new time step of the global simulation time, each agent deposits in its local environment the composition of its sites, reads site composition of other agents in the same local environment, and selects the most affine agents from other classes to form immunocomplex agents. Conflicts ....
F. Celada and P. Seiden. "A Computer Model for Cellular Interaction in the Immune System". Immunology Today, 13(2):56--62, 1992.
Immunity-Based Systems: A Survey - Dasgupta, Attoh-Okine (1997) (17 citations) (Correct)
....models in the fields of science and engineering. The last section will conclude with some remarks. 2 Immune System Based Models There exist several theories [22] 24] 30] and mathematical models [26] 27] to explain immunological phenomena. There is also a growing number of computer models [2], 28] 29] to simulate various components of the immune system and the overall behavior from a biological point of view. However, the natural immune system is also a source of inspiration for developing antigen (called peptides) on its surface, to bring the attention of B and T cells for ....
Franco Celada and Philip E. Seiden. A computer model of cellular interactions in the immune system. Immunology Today, 13(2):56--62, 1992.
Genetic Algorithms and Artificial Life - Mitchell, Forrest (1993) (35 citations) (Correct)
....system, only contains about 10 5 genes, and further, that the immune system is distributed throughout the body with no central organ to control it. Different approaches to modeling the immune system have included differential equationbased models (e.g. see [86, 85] cellular automata models [24], classifier systems [33] and GAs [38] In the last, GAs are used to model both somatic mutation (the process by which antibodies are evolved during the lifetime of an individual to match a specific antigen) and the more traditional type of evolution over many individual lifetimes of variable , ....
F. Celada and P. E. Seiden. A computer model of cellular interactions in the immune system. Immunology Today, 13(2):56--62, 1992.
Computational Modeling and Simulation of the - Immune System Kalita (2006) (Correct)
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F. Celada and P. E. Seiden. A computer model of cellular interactions in the immune system. Immunology Today, 13:56, 1992.
Immune System Modelling with Situated Cellular Agents - Bandini, Manzoni, Vizzari (Correct)
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Celada, F. and Seiden, P.: A computer model of cellular interactions in the immune system, Immunology Today, Volume 13, Issue 2, Pp. 56--62, Elsevier, 1992.
Situated Cellular Agents and Immune System Modelling - Bandini, Manzoni, Vizzari (2003) (Correct)
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F. Celada and P. Seiden, A computer model of cellular interactions in the immune system, Immunology Today, Volume 13, Issue 2, Pp. 56--62, Elsevier, 1992.
Computational Power of Killers and Helpers in the Immune System - Pacheco (2004) (Correct)
No context found.
Celada, F. and Seiden, P. E. (1992). A computer model of cellular interactions in the immune system. Immunology Today, 13(2):56--62.
Artificial Immune Systems: Part II - A Survey Of Applications - de Castro, Von Zuben (2000) (Correct)
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Celada, F. & Seiden, P. E. (1992), "A Computer Model of Cellular Interaction in the Immune System", Imm. Today, 13, pp. 56-62.
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