Information Immune Systems

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Dennis L. Chao and Stephanie Forrest: Information Immune Systems. Genetic Programming and Evolvable Machines, 4(4), pp. 311-331, December 2003.



The concept of an information immune system (IIS) is introduced, in which undesirable information is eliminated before it can reach the user. The IIS is inspired by the natural immune systems that protect us from pathogens. IISs from multiple individuals can be combined to form a group IIS which filters out information undesirable to any of the members. The relationship between our proposed IIS architecture and the natural immune system is outlined, and potential applications, including information filtering, interactive design, and collaborative design, are discussed.

Extended Abstract


Used References

D. Aha, D. W. Kibler, and M. K. Albert, “Instance-based learning algorithms, ” Machine Learning, vol. 6, pp. 37-66, 1991.

K. Arrow, Social Choice and Individual Values, Wiley: New York, 1951.

A. L. Austin, Letter to Charles Darwin, 1877, reprinted in Galton, 1879.

J. Balthrop, S. Forrest, and M. Glickman, “Revisting LISYS: Parameters and normal behaviour, ” in Proceedings of the 2002 Congress on Evolutionary Computation, D. B. Fogel, M. A. El-Sharkawi, X. Yao, G. Greenwood, H. Iba, P. Marrow, and M. Shackleton (eds.), IEEE Press: Piscataway, New Jersey, 2002, pp. 1045-1050.

N. J. Belkin and W. B. Croft, “Information filtering and information retrieval: Two sides of the same coin?” Communications of the ACM, vol. 35,no. 12, pp. 29-38, 1992.

P. J. Bentley and D. W. Corne (eds.), Creative Evolutionary Systems, Morgan Kaufmann Publishers: San Francisco, California, 2002.

H. Bersini and F. J. Varela, “Hints for adaptive problem solving gleaned from immune networks, ” in Parallel Problem Solving from Nature, H. Schwefel and R. Männer (eds.), Springer-Verlag: Berlin, 1991, pp. 343-354.

J. A. Borghans, A. J. Noest, and R. J. de Boer, “How specific should immunological memory be?” J. Immunol., vol. 163,no. 2, pp. 569-575, 1999.

Brightmail Solution Suite, Brightmail Inc., San Francisco, California, 2002.

D. L. Chao and S. Forrest, “Information immune systems, ” in Proceedings of the First International Conference on Artificial Immune Systems, J. Timmis, and P. J. Bentley (eds.), University of Kent atCanterbury Printing Unit: Canterbury, England, 2002, pp. 132-140.

D. L. Chao and S. Forrest, “Generating biomorphs with an aesthetic immune system, ” in ArtificialLife VIII: Proceedings of the Eighth International Conference on the Simulation and Synthesis ofLiving Systems, R. Standish, M. A. Bedau, and H. A. Abbass (eds.), MIT Press: Cambridge,Massachusetts, 2003, pp. 89-92.

N. Cochrane, “Mobile entrepreneur rapt in wireless e-mail advertising, ” The Age (Melbourne), vol. 24,July 2001, p. 7, 2001.

A. Crossen, J. Budzik, and K. J. Hammond, “Flytrap: Intelligent group music recommendation, ” inProceedings of the 7th International Conference on Intelligent User Interfaces, ACM Press: NewYork, 2002, ISBN 1-58113-382-0, pp. 184-185.

Cyberpatrol, SurfControl plc, Westborough, Massachusetts, 2002

A. C. Danto, “Can it be the ‘most wanted painting’ even if nobody wants it?” Painting by Numbers:Komar and Melamid's Scientific Guide to Art, J. Wypijewski (ed.), Farrar, Straus & Giroux: NewYork, 1997, pp. 124-139.

F. M. Davenport, A. V. Hennessy, and T. Francis, “Epidemiologic and immunologic significance ofage distribution to antibody to antigenic variants of influenza virus, ” J. Exp. Med., vol. 98, pp. 641-656,1953.

R. Dawkins, The Blind Watchmaker, Longman Scientific and Technical: Harlow, UK, 1986.

L. N. De Castro and F. J. Von Zuben, “aiNet: An artificial immune network for data analysis, ” DataMining: A Heuristic Approach, Chap. XII., H. A. Abbass, R. A. Sarker and C. S. Newton (eds.),Idea Group Publishing: Hershey, Pennsylvania, USA, 2001, pp. 231-259.

C. Dubey, M. Croft, and S. L. Swain, “Naive and effector CD4+ T cells differ in their requirementsfor T cell receptor versus costimulatory signals, ” J. Immunol., vol. 157,no. 8, pp. 3280-3289, 1996.

S. Fazekas de St. Groth and R. G. Webster, “Disquisitions of original antigenic sin. I. Evidence inman, ” J. Exp. Med., vol. 124,no. 3, pp. 331-345, 1966.

G. Fischer and C. Stevens, “Information access in complex, poorly structured information spaces, ” inProceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 1991),S. P. Robertson, G. M. Olson, and J. S. Olson (eds.), ACM Press: New York, 1991, pp. 63-70.

S. Forrest, A. S. Perelson, L. Allen, and R. Cherukuri, “Self-nonself discrimination in a computer, ” inProceedings of the 1994 IEEE Symposium on Research in Security and Privacy, IEEE ComputerSociety Press: Los Alamitos, California, 1994, pp. 202-212.

F. C. Galton, “Composite portraits, made by combining those of many different persons into a singleresultant figure, ” Journal of the Anthropological Institute of Great Britain and Ireland, vol. 8,pp. 132-144, 1879.

D. Goldberg, D. Nichols, B. M. Oki, and D. Terry, “Using collaborative filtering to weave aninformation tapestry, ” Communications of the ACM, vol. 35,no. 12, pp. 61-70, 1992.

S. R. Hedberg, “After desktop computing: A progress report on smart environments research, ” IEEEIntelligent Systems, vol. 15,no. 5, pp. 7-9, 2000.

S. R. Hiltz and M. Turoff, “Structuring computer-mediated communication systems to avoidinformation overload, ” Communications of the ACM, vol. 28,no. 7, pp. 680-689, 1985.

S. A. Hofmeyr, An immunological model of distributed detection and its application to computersecurity, Ph.D. thesis, University of New Mexico: Albuquerque, New Mexico, 1999.

S. A. Hofmeyr and S. Forrest, “Architecture for an artificial immune system, ” EvolutionaryComputation, vol. 8,no. 4, pp. 443-473, 2000.

House_n Living Laboratory, School of Architecture and Planning, Massachusetts Institute ofTechnology, Cambridge, Massachusetts, 2001.

J. E. Hunt and D. E. Cooke, “Learning using an artificial immune system, ” J. Network Comp. Appl.,vol. 19, pp. 189-212, 1996.

C. A. Janeway Jr, “The immune system evolved to discriminate infectious nonself from noninfectiousself, ” Immunol. Today, vol. 13,no. 1, pp. 11-16, 1992.

E. Jenner, An Inquiry into the Causes and Effects of the Variolae Vaccinae; a Disease Discovered insome of the Western Counties of England, Particularly Gloucestershire, and Known by the Name ofthe Cow Pox, 1798.

N. K. Jerne, “Towards a network theory of the immune system, ” Ann. Immunol. (Inst Pasteur),vol. 125C, pp. 373-389, 1974.

P. Kanerva, Sparse Distributed Memory, MIT Press: Cambridge, Massachusetts, 1988.

C. D. Kidd, R. J. Orr, G. D. Abowd, C. G. Atkeson, I. A. Essa, B. MacIntyre, E. Mynatt, T. E. Starner, and W. Newstetter, “The aware home: A living laboratory for ubiquitous computingresearch, ” in Proceedings of the Second International Workshop on Cooperative Buildings(CoBuild'99) of Lecture Notes in Computer Science, N. A. Streitz, J. Siegel, V. Hartkopf and S. Konomi (eds.), Springer: Berlin, 1999, pp. 191-198.

V. Komar, A. Melamid, and J. Wypijewski, Painting by Numbers: Komar and Melamid's ScientificGuide to Art, Farrar, Straus & Giroux: New York, 1997.

J. Lanza, “Elevator Music: A surreal history of Muzak, easy-listening, and other moodsong, ”St. Martin's Press: New York, 1994.

P. Lyman and H. R. Varian, “How much information?” 2000, retrieved from 1 June 2002.

P. Machado and A. Cardoso, “All the truth about NEvAr, ” Applied Intelligence, vol. 16, pp. 101-118,20022002.

C. R. Mackay, W. L. Marston, L. Dudler, O. Spertini, T. F. Tedder, and W. R. Hein, “Tissue-specificmigration pathways by phenotypically distinct subpopulations of memory T cells, ” Eur J Immunol,vol. 22,no. 4, pp. 887-895, 1992.

T. W. Malone, K. R. Grant, and F. A. Turbak, “The Information Lens: An intelligent system forinformation sharing in organizations, ” in Proceedings of the SIGCHI Conference on Human Factorsin Computing Systems (CHI 1986), M. Mantei, and P. Orbeton (eds.), ACM Press: New York, 1986,pp. 1-8.

T. W. Malone, K. R. Grant, F. A. Turbak, S. A. Brobst, and M. D. Cohen, “Intelligent informationsharing systems, ” Communications of the ACM, vol. 30,no. 5, pp. 390-402, 1987.

J. F. McCarthy and T. D. Anagnost, “MusicFX: An arbiter of group preferences for computersupported collaborative workouts, ” in Proceedings of the ACM 1998 Conference on ComputerSupported Cooperative Work, ACM Press: New York, 1998, pp. 363-372.

J. F. McCarthy, T. J. Costa, and E. S. Liongosari, “UniCast, OutCast & GroupCast: An explorationof new interaction paradigms for ubiquitous, peripheral displays, ” in Workshop on Distributed andDisappearing User Interfaces in Ubiquitous Computing at the SIGCHI Conference on HumanFactors in Computer Systems (CHI 2001), ACM Press: New York, 2001.

M. Metral, A Generic Learning Interface Agent, B.Sc. thesis, Department of Electrical Engineeringand Computer Science, Massachusetts Institute of Technology: Cambridge, Massachusetts, 1992.

J. Mount, S. N. Reilly, and M. Witbrock, “International Genetic Art II site, ”,1994, (site no longer accessible).

G. L. Nelson, “Sonomorphs: An application of genetic algorithms to the growth and development ofmusical organisms, ” in Proceedings of the Fourth Biennial Art & Technology Symposium,Connecticut: New London, 1993, pp. 155-169.

M. O'Connor, D. Cosley, J. A. Konstan, and J. Riedl, “PolyLens: A recommender system for groupsof users, ” in Proceedings of the Seventh European Conference on Computer Supported CooperativeWork, W. Prinz (ed.), Kluwer Academic: New York, 2001, pp. 199-218.

G. Pennington, “Just try zapping these ads, ” St. Louis Post-Dispatch, vol. 14, April 2002, p. F1,2002.

A. S. Perelson and G. F. Oster, “Theoretical studies of clonal selection: minimal antibody repertoiresize and reliability of self-non-self discrimination, ” J. Theor. Biol., vol. 81,no. 4, pp. 645-670, 1979.

N. Postman, “Informing ourselves to death, ” Speech delivered to the German Informatics Society(Gesellschaft für Informatik), 1990.

N. Postman, Technopoly, The Surrender of Culture to Technology: Vintage Books, New York, 1992.

Realtime Blackhole List, Mail Abuse Prevention System LLC, Redwood City, California, 2002,

P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl, “GroupLens: An open architecturefor collaborative filtering of Netnews, ” in Proceedings of the ACM 1994 Conference on ComputerSupported Cooperative Work, R. K. Furuta and C. M. Neuwirth (eds.), ACM Press: New York, 1994,pp. 175-186.

M. Roesch, “Snort—lightweight intrusion detection for networks, ” in Proceedings of ThirteenthSystems Administration Conference (LISA '99), The USENIX Association, Berkeley: California,1999, pp. 229-238.

F. Sallusto, D. Lenig, R. Forster, M. Lipp, and A. Lanzavecchia, “Two subsets of memoryT lymphocytes with distinct homing potentials and effector functions, ” Nature, vol. 401,no. 6754,pp. 708-712, 1999.

R. C. Schank, Dynamic Memory: A theory of reminding and learning in computers and people,Cambridge University Press: New York, 1982.

T. Schwartz, “Interview: Paul Simon, ” Playboy, vol. 31,no. 2, pp. 49-51, 163–174, 1984.

L. K. Selin, K. Vergilis, R. M. Welsh, and S. R. Nahill, “Reduction of otherwise remarkably stablevirus-specific cytotoxic T lymphocyte memory by heterologous viral infections, ” J. Exp. Med.,vol. 183,no. 6, pp. 2489-2499, 1996.

K. Sims, “Artificial evolution for computer graphics, ” Computer Graphics, vol. 25,no. 4, pp. 319-328,1991.

K. Sims, Genetic Images, 1993.

D. J. Smith, S. Forrest, D. H. Ackley, and A. S. Perelson, “Variable efficacy of repeated annualinfluenza vaccination, ” Proc. Natl. Acad. Sci. USA, vol. 96,no. 24, pp. 14001-14006, 1999.

D. J. Smith, S. Forrest, and A. S. Perelson, “Immunological memory is associative, ” in WorkshopNotes, Workshop 4: Immunity Based Systems, Intnl. Conf. on Multiagent Systems, 1998, pp. 62-70.

J. R. Smith, “Designing biomorphs with an interactive genetic algorithm, ” in Proceedings of theFourth International Conference on Genetic Algorithms (ICGA'91), R. K. Belew and L. B. Booker(eds.), Morgan Kaufmann Publishers: San Francisco, California, 1991, pp. 535-538.

P. D. Stahl and R. A. Ezekowitz, “The mannose receptor is a pattern recognition receptor involved inhost defense, ” Curr Opin Immunol, vol. 10,no. 1, pp. 50-55, 1998.

C. Stanfill, D. Waltz, “Toward memory-based reasoning, ” Communications of the ACM, vol. 29,no. 12,pp. 1213-1228, 1986.

J. Timmis, Artificial immune systems: A novel data analysis technique inspired by the immunenetwork theory, Ph.D. thesis, University of Wales, 2000.

S. Todd and W. Latham, Evolutionary Art and Computers, Academic Press: London, 1992.

“The user in control, ” Philips Research Password, vol. 3, pp. 10-13, 2000.

L. Van Valen, “A new evolutionary law, ” Evolutionary Theory, vol. 1, pp. 1-30, 1973.

“Virtual ads, real problems, ” Advertising Age, vol. 70,no. 22, p. 30, 1999.


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