Evolution of Integrated Causal Structures in Animats Exposed to Environments of Increasing Complexity

PLoS Computational Biology

Volumn 10, Issue 12, 2014, Pages

  Albantakis, Larissa ^a   Hintze, Arend ^b,c   Koch, Christof ^d   Adami, Christoph ^b,c   Tononi, Giulio ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b Michigan State University ^*  (United States)

^c MICHIGAN STATE UNIVERSITY   (United States)

^d ALLEN INSTITUTE FOR BRAIN SCIENCE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY;

ADAPTIVE LOGIC; ANIMATS; DIFFERENT SIZES; EXPOSED TO; INFORMATION INTEGRATION; MEASURES OF INFORMATION; NATURAL SELECTION; RELEVANT FEATURES; SENSOR INPUTS; TASK ENVIRONMENT;

COMPLEX NETWORKS;

ANIMAT; ARTICLE; BIOMECHANICS; BRAIN DEVELOPMENT; CONCEPTUAL FRAMEWORK; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL FACTOR; EVOLUTIONARY ADAPTATION; INFORMATION PROCESSING; MEMORY; NERVE CELL NETWORK; NEUROANATOMY; PROBLEM SOLVING; SENSORY NERVE; TASK PERFORMANCE; ADAPTATION; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; EVOLUTION; FEEDBACK SYSTEM; GENETIC SELECTION; NONPARAMETRIC TEST; REPRODUCTIVE FITNESS;

ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; BIOLOGICAL EVOLUTION; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FEEDBACK, PHYSIOLOGICAL; GENETIC FITNESS; MODELS, NEUROLOGICAL; SELECTION, GENETIC; STATISTICS, NONPARAMETRIC;

EID: 84919628618     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003966     Document Type: Article

References (53)

1. Maynard Smith J, (2000) The Concept of Information in Biology. Philos Sci 67: 177–194.
2. Polani D, (2009) Information: currency of life? HFSP J 3: 307–316 doi:10.2976/1.3171566
3. Rivoire O, Leibler S, (2011) The Value of Information for Populations in Varying Environments. J Stat Phys 142: 1124–1166 doi:10.1007/s10955-011-0166-2
4. Adami C, (2012) The use of information theory in evolutionary biology. Ann N Y Acad Sci 1256: 49–65 doi:10.1111/j.1749-6632.2011.06422.x
5. Taylor SF, Tishby N, Bialek W (2007) Information and fitness.
6. Edlund J a, Chaumont N, Hintze A, Koch C, Tononi G, et al. (2011) Integrated information increases with fitness in the evolution of animats. PLoS Comput Biol 7: e1002236 doi:10.1371/journal.pcbi.1002236
7. Joshi NJ, Tononi G, Koch C, (2013) The minimal complexity of adapting agents increases with fitness. PLoS Comput Biol 9: e1003111 doi:10.1371/journal.pcbi.1003111
8. Adami C, Ofria C, Collier TC, (2000) Evolution of biological complexity. Proc Natl Acad Sci 97: 4463–4468 doi:10.1073/pnas.97.9.4463
9. Jablonka E, (2002) Information: Its Interpretation, Its Inheritance, and Its Sharing. Philos Sci 69: 578–605 doi:10.1086/344621
10. Adami C, (2002) What is complexity? BioEssays 24: 1085–1094 doi:10.1002/bies.10192
11. Yaeger L, Sporns O (2006) Evolution of neural structure and complexity in a computational ecology. Artif Life X Proc Tenth ….
12. Prokopenko M, Boschetti F, Ryan A, (2009) An information-theoretic primer on complexity, self-organization, and emergence. Complexity 15: 11–28.
13. Marstaller L, Hintze A, Adami C, (2013) The evolution of representation in simple cognitive networks. Neural Comput 25: 2079–2107 doi:__10.1162/NECO_a_00475
14. Tononi G, (2012) Integrated Information Theory of Consciousness: An Updated Account. Arch Ital Biol 150: 56–90.
15. Oizumi M, Albantakis L, Tononi G, (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. PLoS Comput Biol 10: e1003588 doi:10.1371/journal.pcbi.1003588
16. Balduzzi D, Tononi G, (2008) Integrated information in discrete dynamical systems: motivation and theoretical framework. PLoS Comput Biol 4: e1000091 doi:10.1371/journal.pcbi.1000091
17. Tononi G, (2001) Information measures for conscious experience. Arch Ital Biol 139: 367–371.
18. Tononi G, (2004) An information integration theory of consciousness. BMC Neurosci 5: 42 doi:10.1186/1471-2202-5-42
19. Lenski RE, Ofria C, Pennock RT, Adami C, (2003) The evolutionary origin of complex features. Nature 423: 139–144 doi:10.1038/nature01568
20. Ay N, Bertschinger N, Der R, Güttler F, Olbrich E, (2008) Predictive information and explorative behavior of autonomous robots. Eur Phys J B 63: 329–339 doi:10.1140/epjb/e2008-00175-0
21. Bialek W, Nemenman I, Tishby N, (2001) Predictability, complexity, and learning. Neural Comput 13: 2409–2463 doi:10.1162/089976601753195969
22. Tononi G, Sporns O (2003) Measuring information integration. BMC Neurosci 4.
23. Tononi G, (2008) Consciousness as integrated information: a provisional manifesto. Biol Bull 215: 216–242 doi:215/3/216 [pii]
24. Chen BL, Hall DH, Chklovskii DB, (2006) Wiring optimization can relate neuronal structure and function. Proc Natl Acad Sci U S A 103: 4723–4728 doi:10.1073/pnas.0506806103
25. Tononi G, Sporns O, Edelman GM, (1999) Measures of degeneracy and redundancy in biological networks. Proc Natl Acad Sci U S A 96: 3257–3262 doi:10.1073/pnas.96.6.3257
26. Kashtan N, Alon U, (2005) Spontaneous evolution of modularity and network motifs. Proc Natl Acad Sci U S A 102: 13773–13778 doi:10.1073/pnas.0503610102
27. Hintze A, Adami C, (2008) Evolution of Complex Modular Biological Networks. PLoS Comput Biol 4: e23 doi:10.1371/journal.pcbi.0040023
28. Van den Heuvel MP, Sporns O, (2011) Rich-club organization of the human connectome. J Neurosci 31: 15775–15786 doi:10.1523/JNEUROSCI.3539-11.2011
29. Tononi G, Sporns O, Edelman GM, (1996) A complexity measure for selective matching of signals by the brain. Proc Natl Acad Sci U S A 93: 3422–3427.
30. Beer RD, (2003) The Dynamics of Active Categorical Perception in an Evolved Model Agent. Adapt Behav 11: 209–243 doi:10.1177/1059712303114001.31. Cover TM, Thomas JA (2006) Elements of information theory. Wiley-interscience
31. Cover TM, Thomas JA (2006) Elements of information theory. Wiley-interscience.
32. Touchette H, Lloyd S, (2004) Information-theoretic approach to the study of control systems. Phys A Stat Mech its Appl 331: 140–172 doi:10.1016/j.physa.2003.09.007
33. Bonner JT (1988) The evolution of complexity by means of natural selection. Princeton University Press.
34. McShea D, (1996) Metazoan Complexity and Evolution: Is there a trend? Evolution (N Y) 50: 477–492.
35. Eigenmann C (1909) Cave vertebrates of America: a study in degenerative evolution. Carnegie Institution of Washington.
36. Emerson A, (1938) Termite nests—a study of the phylogeny of behavior. Ecol Monogr 8: 247–284.
37. Protas M, Jeffery WR (n.d.) Evolution and development in cave animals: from fish to crustaceans. Wiley Interdiscip Rev Dev Biol 1: 823–845 doi:10.1002/wdev.61
38. Orr HA, (2000) Adaptation and the Cost of Complexity. Evolution (N Y) 54: 13–20 doi:10.1111/j.0014-3820.2000.tb00002.x
39. Hornik K, Stinchcombe M, White H, (1989) Multilayer feedforward networks are universal approximators. Neural Networks 2: 359–366.
40. Thompson C (2010) Smarter Than You Think - I.B.M.'s Supercomputer to Challenge “Jeopardy!” Champions. N Y Times Mag.
41. Le Q V., Ranzato M, Monga R, Devin M, Chen K, et al. (2011) Building high-level features using large scale unsupervised learning. arXiv Prepr arXiv: 1112.6209.
42. Edelman G (1978) The mindful brain: Cortical organization and the group-selective theory of higher brain function. In: Edelman G, Mountcastle V, editors. Cambridge (Massachusetts): MITPress. pp. pp.51–100.
43. Edelman G (1987) Neural Darwinism: The theory of neuronal group selection. New York: Basic Books.
44. Edelman GM, Gally JA, (2001) Degeneracy and complexity in biological systems. Proc Natl Acad Sci U S A 98: 13763–13768 doi:10.1073/pnas.231499798
45. Kashtan N, Parter M, Dekel E, Mayo AE, Alon U, (2009) Extinctions in heterogeneous environments and the evolution of modularity. Evolution 63: 1964–1975 doi:10.1111/j.1558-5646.2009.00684.x
46. Pearl J (2000) Causality: models, reasoning and inference. Cambridge Univ Press.
47. Rubner Y, Tomasi C, Guibas L, (2000) The earth mover's distance as a metric for image retrieval. Int J Comput Vis 40: 99–121.
48. Pele O, Werman M, (2008) A Linear Time Histogram Metric for Improved SIFT Matching. ECCV. Lecture Notes in Computer Science 5304: 495–508.
49. Pele O, Werman M, (2009) Fast and Robust Earth Mover's Distances. ICCV: 460–467.
50. Hoel EP, Albantakis L, Tononi G, (2013) Quantifying causal emergence shows that macro can beat micro. PNAS 110: 19790–19795 doi:10.1073/pnas.1314922110
51. IIT 3.0 Code (2013). Available: https://github.com/Albantakis/iit/tree/IIT-3.0-Program.
52. Balduzzi D, Tononi G, (2009) Qualia: the geometry of integrated information. PLoS Comput Biol 5: e1000462 doi:10.1371/journal.pcbi.1000462
53. Bateson G (1972) Steps to an Ecology of Mind. University of Chicago Press.