Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Introduction
- 1 From unicellular to multicellular organisation in the social amoeba Dictyostelium discoideum
- 2 Optimality of communication in self-organised social behaviour
- 3 The interplay of intracolonial genotypic variance and self-organisation of dominance hierarchies in honeybees
- 4 Traffic rules of fish schools: a review of agent-based approaches
- 5 A process-oriented approach to the social behaviour of primates
- 6 Order and noise in primate societies
- 7 Self-organisation in language
- 8 Dictatorship effect of majority rule in voting in hierarchical systems
- 9 Natural selection and complex systems: a complex interaction
- 10 Interlocking of self-organisation and evolution
- Index
- References
10 - Interlocking of self-organisation and evolution
Published online by Cambridge University Press: 07 December 2009
Edited by
Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Introduction
- 1 From unicellular to multicellular organisation in the social amoeba Dictyostelium discoideum
- 2 Optimality of communication in self-organised social behaviour
- 3 The interplay of intracolonial genotypic variance and self-organisation of dominance hierarchies in honeybees
- 4 Traffic rules of fish schools: a review of agent-based approaches
- 5 A process-oriented approach to the social behaviour of primates
- 6 Order and noise in primate societies
- 7 Self-organisation in language
- 8 Dictatorship effect of majority rule in voting in hierarchical systems
- 9 Natural selection and complex systems: a complex interaction
- 10 Interlocking of self-organisation and evolution
- Index
- References
Summary
Introduction
Organisms can cope with a variable environment in which various actions are called for in a variety of ways, e.g.:
‘Red Queen’ evolution. Each individual performs the different types of actions with a pre-set frequency. There is some within-population/ species variation in these frequencies (i.e. it is a ‘quasi-species’ rather than a monomorphic species). Because many variants are present in the population, changes in the environment will cause relatively rapid change in the population by selection of available genotypes of the quasi-species. In such a case the rate of change is fairly independent of mutation rate.
Frequency-dependent selection. There are two or more subtypes in the population, each specialising on one or a subset of the actions. In contrast to the previous mode the within-population variation is not unimodal but multi-modal. Dependent on which actions are more in demand these subpopulations will increase/decrease. A clear-cut example is the distribution of the ‘rover’ and ‘sitter’ types in Drosophila, which do what the names suggest in foraging. The difference has been localized to two different alleles of a cGMP-dependent kinase gene which has plural effects, among which is a change in ion channels in the brain, ultimately leading to the two modes of exploiting food resources (Osborne et al., 1997; Sokolowski, 1997; Renger et al., 1999).
[…]
- Type
- Chapter
- Information
- Self-Organisation and Evolution of Biological and Social Systems , pp. 166 - 189Publisher: Cambridge University PressPrint publication year: 2005
References
, , and (2002). Influence of gene action across different time scales on behavior. Science 296, 741–744CrossRefGoogle ScholarPubMed
, , and (2001). Social inhibition and the regulation of temporal polyethism in honey bees. J. Theoret. Biol. 213, 461–479CrossRefGoogle ScholarPubMed
and (1991a). Spiral wave structure in pre-biotic evolution: hypercycles stable against parasites. Physica D 48, 17–28CrossRefGoogle Scholar
Boerlijst, M. A. and Hogeweg, P. (1991b). Selfstructuring and selection: spiral waves as a substrate for prebiotic evolution. In Artificial Life II: SFI Studies in the Sciences of Complexity, vol 10, ed. . Redwood City, CA: Addison-Wesley, pp. 255–276Google Scholar
, , et al. (2001). Self-Organisation in Biological Systems. Princeton, NJ: Princeton University PressGoogle Scholar
and (1995). The evolution of emergent computation. Proc. Natl Acad. Sci. USA 92, 10742–10746CrossRefGoogle ScholarPubMed
, and (2002). Chemical warfare between microbes promotes biodiversity. Proc. Natl Acad. Sci. USA 99, 786–790CrossRefGoogle ScholarPubMed
and (1979). The Hypercycle: A Principle of Natural Self-organisation. Berlin:Springer-Verlag.CrossRefGoogle Scholar
, , and (1999). Systematic changes in gene expression patterns following adaptive evolution in yeast. Proc. Natl Acad. Sci USA 96, 9721–9726CrossRefGoogle Scholar
and (2000). ‘Origin of complexity in multicellular organisms. Phys. Rev. Lett. 84, 6130–6133CrossRefGoogle ScholarPubMed
and (2001). Theory of robustness of irreversible differentiation in a stem cell system: chaos hypothesis. J. Theoret. Biol. 209, 395–416CrossRefGoogle Scholar
and (1997). Molecular Evolution and Adaptive Radiation. Cambridge: Cambridge University PressGoogle Scholar
(1996). Biochemical Oscillations and Cellular Rhythms: The Molecular Basis of Periodic and Chaotic Behaviour. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hemelrijk, C. K. (1998). Spatial centrality of dominants without positional preference. In Artificial Life, vol. 6, ed. , , and . Cambridge, MA: MIT Press, pp. 307–315Google Scholar
(1999). An individual-oriented model on the emergence of despotic and egalitarian societies. Proc. Roy. Soc. London B 266, 361–369CrossRefGoogle Scholar
(2000a). Towards the integration of social dominance and spatial structure. Anim. Behav. 59, 1035–1048CrossRefGoogle Scholar
(2000b). Self-reinforcing dominance interactions between virtual males and females: hypothesis generation for primate studies. Adapt. Behav. 8, 13–26CrossRefGoogle Scholar
Hogeweg, P. (1988). MIRROR beyond MIRROR, puddles of Life. In Artificial Life: SFI Studies in the Sciences of Complexity, ed. . Redwood City, CA: Addison-Wesley, pp. 297–315Google Scholar
(1994). On the potential role of DNA in an RNA world: Pattern generation and information accumulation in replicator systems. Ber. Bunsengesel Phys. Chem. 98, 1135–1139CrossRefGoogle Scholar
Hogeweg, P. (1998). On searching generic properties in non-generic phenomena: an approach to bioinformatic theory formation. In Artificial Life, vol. 6, ed. , , and Cambridge, MA: MIT Press, pp. 285–294Google Scholar
(2000a). Evolving mechanism of morphogenesis: on the interplay between differential adhesion and cell differentiation. J. Theoret. Biol. 203, 317–333CrossRefGoogle Scholar
(2000b). Shapes in the shadow: evolutionary dynamics of morphogenesis. Artif. Life 6, 85–101CrossRefGoogle Scholar
(2002). Computing an organism: on the interface between informatic and dynamic processes. Biosystems 64, 97–109CrossRefGoogle ScholarPubMed
and (1983). The ontogeny of the interaction structure in bumble bee colonies: a MIRROR model. Behav. Ecol. Sociobiol. 12, 271–283CrossRefGoogle Scholar
and (1985). Socioinformatic processes: a MIRROR modelling methodology. J. Theoret. Biol. 113, 311–330CrossRefGoogle Scholar
Hogeweg, P. and Hesper, B. (1991). Evolution as pattern processing: TODO as substrate for evolution. In From Animals to Animats, ed. and . Cambridge, MA: MIT Press, pp. 492–497Google Scholar
and (2002). Selection at the level of the community: the importance of spatial structure. Trends Ecol. Evol. 17, 83–90CrossRefGoogle Scholar
and (2002). Selection for restraint in competetive ability in spatial competing systems. Proc. Roy. Soc. London B 269, 655–663CrossRefGoogle Scholar
and (1997). Isologous diversification: a theory of cell differentiation. Bull. Math. Biol. 59, 139–196CrossRefGoogle ScholarPubMed
and (2000). Sympatric speciation: compliance with phenotype diversification from a single genotype. Proc. Roy. Soc. London B 267, 2367–2373CrossRefGoogle ScholarPubMed
and (2002). Genetic diversification through interaction-driven phenotype differentiation. Evol. Eco. Res. 4, 317–350Google Scholar
and (1995). Predator–prey coevolution: interactions among different time scales. Proc. Roy. Soc. London B 259, 35–42CrossRefGoogle Scholar
, and (1999a). Migration and thermotaxis of Dictyostelium discoideum slugs, a model study. J. Theoret. Biol. 199, 297–309CrossRefGoogle Scholar
, and (1999b). Phototaxis during the slug stage of Dictyostelium discoideum: a model study. Proc. Roy. Soc. London B 266, 1351–1360CrossRefGoogle Scholar
, and (1999a). Statistical dynamics of the Royal Road genetic algorithm. Theoret. Comput. Sci. 229, 41–102CrossRefGoogle Scholar
, and (1999b). Neutral evolution of mutational robustness. Proc. Natl Acad. Sci. USA 96, 9716–9720CrossRefGoogle Scholar
, , et al. (1997). Natural behavior polymorphism due to a cGMP-dependent protein kinase of Drosophila. Science 277, 834–836CrossRefGoogle ScholarPubMed
, and (1996). Effects of social group size on information transfer and task allocation. Evol. Ecol. 10, 127–165CrossRefGoogle Scholar
Pagie, L. W. P. (1999). Information integration in evolutionary processes. Ph. D. thesis, Utrecht University
and (1999). Colicin diversity: a result of eco-evolutionary dynamics. J. Theoret. Biol. 196, 251–261CrossRefGoogle ScholarPubMed
and (2000a). Individual- and population-based diversity in restriction-modification systems. Bull. Math. Biol. 62, 759–774CrossRefGoogle Scholar
and (2000b). Information integration and red queen dynamics in coevolutionary optimization. In Proc. 2000 Congr. Evol. Computation, pp. 797–806Google Scholar
and (2002). A comparison of evolutionary and coevolutionary search. Int. J. Comput. Intell. Applic. 2, 53–70CrossRefGoogle Scholar
Post, D. J. van der and Hogeweg, P. (2004). Learning what to eat: studying the interrelationship between learning, grouping and environmental conditions in an artificial world. In Cellular Automata, ed. , and . Berlin: Springer-Verlag, pp. 491–501CrossRefGoogle Scholar
, , and (1999). Neuronal polymorphism among natural alleles of a cGMP-dependent kinase gene, foraging, in Drosophila. J. Neurosci. 19, RC28CrossRefGoogle ScholarPubMed
and (1997). Evolutionary stagnation due to pattern–pattern interactions in a co-evolutionary predator–prey model. Artif. Life 3, 81–100CrossRefGoogle Scholar
, and (1997). Self-reinforcing spatial patterns enslave evolution in a host–parasitoid system. J. Theoret. Biol. 188, 11–20CrossRefGoogle Scholar
(1982). Adaptive significance of the age polyethism schedule in honey bee colonies. Behav. Ecol. Sociobiol. 11, 287–294CrossRefGoogle Scholar
and (1991).Age polyethism for hive duties in honey bees: illusion or reality. Ethology 87, 284–297CrossRefGoogle Scholar
, and (1997). Evolution of foraging behavior in Drosophila by density-dependent selection. Proc. Natl Acad. Sci. USA 94, 7373–7377CrossRefGoogle ScholarPubMed
(1993). Loose coupling of predator–prey cycles: entrainment, chaos and intermittancy in the classic MacArthur consumer resource equations. Am. Naturalist 141, 687–716CrossRefGoogle Scholar
- 1
- Cited by