1 1ntr0duct10n Natura1 1mmune 5y5tem5 pr0v1de an exce11ent examp1e 0f emer9ent c0mputat10n [5], 1n wh1ch adaptat10n 0perate5 at the 10ca1 1eve1 and u5efu1 6ehav10r (e.9., rec09n121n9 ant19en5) emer9e5 at the 9106a1 1eve1:. We are deve10p1n9 5evera1 a190r1thm5 6a5ed 0n the 1mmune 5y5tem • 5 a6111ty t0 rec09n12e and remem6er an en0rm0u5 num6er 0f pattern5. Fr0m an 1nf0rmat10n-pr0ce551n9 per5pect1ve, the 1mmune 5y5tem mu5t rec09n12e an a1m05t 11m1t1e55 num6er 0f m01ecu1ar pattern5 0n f0re19n ce115 and m01ecu1e5, 1.e., ant19en5, w1th extreme1y 11m1ted re50urce5. A m0u5e 15 th0u9ht t0 6e a61e t0 make 0n the 0rder 0f 1011 d1fferent recept0r m01ecu1e5, even th0u9h 1t5 ent1re 9en0me pr06a61y c0nta1n5 fewer than 105 9ene5 [2, 1]. 7he 1mmune 5y5tem • 5 pattern-rec09n1t10n a6111t1e5 are even m0re 1mpre551ve when 0ne c0n51der5 that the 5y5tem 15 d15tr16uted thr0u9h0ut 0ur 60d1e5; there 15 n0 centra1 • • 1mmune 0r9an • • that c0ntr015 wh1ch ant160d1e5 are pr0duced 0r when. 7hu5, the 1nd1v1dua1 1ymph0cyte5 and ant160d1e5 that c0mpr15e the 1mmune 5y5tem enc0de and 0perate the c0ntr01 mechan15m 1n para11e1. 1n 0rder t0 pr0v1de 1t5 defen5e funct10n5 eff1c1ent1y, the 1mmune 5y5tem mu5t perf0rm pattern rec09n1t10n ta5k5 t0 d15t1n9u15h 5e1[ m01ecu1e5 and ce115 fr0m f0re19n 0ne5 (ant19en5). 7he num6er 0f f0re19n m01ecu1e5 that the 1mmune 5y5tem can rec09n12e 15 unkn0wn 6ut 1t ha5 6een e5t1mated t0 6e 9reater than 10 7M [12]. 1n pract1ca1 term5, e55ent1a11y any f0re19n m01ecu1e pre5ented t0 the 1mmune 5y5tem, even th05e created 1n the 1a60rat0ry and thu5 never hav1n9 appeared 6ef0re 1n a11 0f ev01ut10nary t1me, are rec09n12ed a5 6e1n9 f0re19n. 8e51de5 th15 1mmen5e rec09n1t10n capac1ty, the 0ther feature that d15t1n9u15he5 the verte6rate 1mmune 5y5tem fr0m the defen5e 5y5tem5 0f 10wer 0r9an15m5 15 that the 1mmune 5y5tem 1earn5 and exh161t5 mem0ry. 7hu5 the re5p0n5e t0 the 5ec0nd exp05ure 0f the 5ame ant19en 0ccur5 m0re 4u1ck1y and v190r0u51y than the f1r5t re5p0n5e. We have deve10ped a m0de1 d1rected at under5tand1n9 the pattern rec09n1t10n pr0ce55e5 0f tw0 a5pect5 0f the 1mmune 5y5tem, c10na1 5e1ect10n and 10n9-term ev01ut10n 0f 9ene5. 7he m0de1 15 6a5ed 0n a un1ver5e f1r5t 1ntr0duced 6y Farmer et a1.
[1]
Alan S. Perelson,et al.
Searching for Diverse, Cooperative Populations with Genetic Algorithms
,
1993,
Evolutionary Computation.
[2]
Stephanie Forrest,et al.
Parallelism and programming in classifier systems
,
1990
.
[3]
Alan S. Perelson,et al.
Genetic Algorithms and the Immune System
,
1990,
PPSN.
[4]
David E. Goldberg,et al.
Genetic Algorithms in Search Optimization and Machine Learning
,
1988
.
[5]
Alan S. Perelson,et al.
The immune system, adaptation, and machine learning
,
1986
.
[6]
John H. Holland,et al.
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
,
1992
.
[7]
C. Milstein,et al.
The Dynamic Nature of the Antibody Repertoire
,
1988,
Immunological reviews.
[8]
John H. Holland,et al.
Induction: Processes of Inference, Learning, and Discovery
,
1987,
IEEE Expert.
[9]
Alan S. Perelson,et al.
Using Genetic Algorithms to Explore Pattern Recognition in the Immune System
,
1993,
Evolutionary Computation.