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Items: 1 to 20 of 86

1.

Integrated information increases with fitness in the evolution of animats.

Edlund JA, Chaumont N, Hintze A, Koch C, Tononi G, Adami C.

PLoS Comput Biol. 2011 Oct;7(10):e1002236. doi: 10.1371/journal.pcbi.1002236. Epub 2011 Oct 20.

2.

Animats: computer-simulated animals in behavioral research.

Watts JM.

J Anim Sci. 1998 Oct;76(10):2596-604. Review.

3.

Evolution of integrated causal structures in animats exposed to environments of increasing complexity.

Albantakis L, Hintze A, Koch C, Adami C, Tononi G.

PLoS Comput Biol. 2014 Dec 18;10(12):e1003966. doi: 10.1371/journal.pcbi.1003966. eCollection 2014 Dec.

4.

The minimal complexity of adapting agents increases with fitness.

Joshi NJ, Tononi G, Koch C.

PLoS Comput Biol. 2013;9(7):e1003111. doi: 10.1371/journal.pcbi.1003111. Epub 2013 Jul 11.

5.

A simple artificial life model explains irrational behavior in human decision-making.

Feher da Silva C, Baldo MV.

PLoS One. 2012;7(5):e34371. doi: 10.1371/journal.pone.0034371. Epub 2012 May 1.

6.

Using artificial evolution and selection to model insect navigation.

Dale K, Collett TS.

Curr Biol. 2001 Sep 4;11(17):1305-16.

7.

Direct fitness for dynamic kin selection.

Wild G.

J Evol Biol. 2011 Jul;24(7):1598-610. doi: 10.1111/j.1420-9101.2011.02291.x. Epub 2011 May 17.

8.

Guided evolution of in silico microbial populations in complex environments accelerates evolutionary rates through a step-wise adaptation.

Mozhayskiy V, Tagkopoulos I.

BMC Bioinformatics. 2012 Jun 25;13 Suppl 10:S10. doi: 10.1186/1471-2105-13-S10-S10.

9.

EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks.

Berka C, Levendowski DJ, Lumicao MN, Yau A, Davis G, Zivkovic VT, Olmstead RE, Tremoulet PD, Craven PL.

Aviat Space Environ Med. 2007 May;78(5 Suppl):B231-44.

PMID:
17547324
10.

Animats and what they can tell us.

Dean J.

Trends Cogn Sci. 1998 Feb 1;2(2):60-7.

PMID:
21227067
11.

Adaptive memory: evaluating alternative forms of fitness-relevant processing in the survival processing paradigm.

Sandry J, Trafimow D, Marks MJ, Rice S.

PLoS One. 2013 Apr 9;8(4):e60868. doi: 10.1371/journal.pone.0060868. Print 2013.

12.

Artificial pigs in space: using artificial intelligence and artificial life techniques to design animal housing.

Stricklin WR, de Bourcier P, Zhou JZ, Gonyou HW.

J Anim Sci. 1998 Oct;76(10):2609-13. Review.

13.

Organismal complexity and the potential for evolutionary diversification.

Svardal H, Rueffler C, Doebeli M.

Evolution. 2014 Nov;68(11):3248-59. doi: 10.1111/evo.12492. Epub 2014 Sep 2.

PMID:
25087681
14.

The evolution of parental care in stochastic environments.

Bonsall MB, Klug H.

J Evol Biol. 2011 Mar;24(3):645-55. doi: 10.1111/j.1420-9101.2010.02203.x. Epub 2011 Jan 24.

15.

The concept of fitness in fluctuating environments.

Sæther BE, Engen S.

Trends Ecol Evol. 2015 May;30(5):273-81. doi: 10.1016/j.tree.2015.03.007. Epub 2015 Apr 3. Review.

PMID:
25843273
16.
17.

Social competence: an evolutionary approach.

Taborsky B, Oliveira RF.

Trends Ecol Evol. 2012 Dec;27(12):679-88. doi: 10.1016/j.tree.2012.09.003. Epub 2012 Oct 3.

PMID:
23040461
18.

The use of information theory in evolutionary biology.

Adami C.

Ann N Y Acad Sci. 2012 May;1256:49-65. doi: 10.1111/j.1749-6632.2011.06422.x. Epub 2012 Feb 9. Review.

PMID:
22320231
19.

Asynchronous hatching provides females with a means for increasing male care but incurs a cost by reducing offspring fitness.

Ford LE, Smiseth PT.

J Evol Biol. 2016 Feb;29(2):428-37. doi: 10.1111/jeb.12797. Epub 2015 Dec 16.

PMID:
26606605
20.

Evolution of a single gene highlights the complexity underlying molecular descriptions of fitness.

Peña MI, Van Itallie E, Bennett MR, Shamoo Y.

Chaos. 2010 Jun;20(2):026107. doi: 10.1063/1.3453623.

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