Cognition, Complexity, Dynamics

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Spring 2013

April 10 
Tononi, Giulio, and Gerald M. Edelman. (1998). Consciousness and complexity. Science 282.5395: 1846-1851. PDF

March 27 
Smith, L.B., & Thelen, E. (2003). Development as a dynamic system, TRENDS in Cognitive Sciences, Vol 7(8), 343-348.PDF

March 20 
Núñez, R. E. (2008). Mathematics, the Ultimate Challenge to Embodiment: Truth and the Grounding of Axiomatic Systems. In P. Calvo & T. Gomila (Eds.), Handbook of Cognitive Science: An Embodied Approach, pp. 333-353. PDF

March 6
Weber, A. & Varela, FJ. (2002). Life after Kant: Natural purposes and the autopoietic foundations of biological individuality. Phenomenology and the Cognitive Sciences 1: 97–125. PDF

February 27
Polani, D. (2008). Foundations and Formalizations of Self-organization. Advanced Information and Knowledge Processing, pp 19-37. PDF

February 20
W. Ross Ashby. (1962). Principles of the self-organizing system. Principles of Self-Organization: Transactions of the University of Illinois Symposium, H. Von Foerster and G. W. Zopf, Jr. (eds.), pp. 255-278. PDF

February 13
Beggs, JM. (2008). The criticality hypothesis: how local cortical networks might optimize information processing. Phil. Trans. R. Soc. A, 366, 329–343. PDF

February 6
Pellicano, E. & Burr, D. (2012). When the world becomes ‘too real’: a Bayesian explanation of autistic perception. Trends in Cognitive Sciences, 1-7. PDF

January 30
Froese, T. & Di Paolo, EA. (2011). The enactive approach: Theoretical sketches from cell to society. Pragmatics & Cognition, Vol 19(1), 1-36. PDF

January 23
Gentner, D. & Markman, AB. (1997). Structure mapping in analogy and similarity. American Psychologist, Vol 52(1), 45-56. PDF

January 16
Clark, A. & Chalmers, DJ. (1998). The extended mind. Analysis 58: 7-19. PDF

Fall 2012

November 15
Werndl, C. (2009). Deterministic versus indeterministic descriptions: not that different after all? In: A. Hieke and H. Leitgeb (Ed.), // Reduction, Abstraction, Analysis, Proceedings of the 31st International Ludwig Wittgenstein-Symposium//. Ontos, pp. 63-78.| PDF

November 8
Maturana, HR. & Varela, FJ. (1973). Autopoiesis: The Organization of the Living. As Reprinted in Autopoiesis and Cognition: The Realization of the Living pp: 73-93 PDF

November 1
N. Bertschinger et al. (2008) Autonomy: An information theoretic perspective”, BioSystems, vol. 91, pp. 331-345 PDF

October 25
Maturana, HR. (1970). Biology of Cognition. As Reprinted in Autopoiesis and Cognition: The Realization of the Living pp: 15-58 PDF

October 18
Maturana, HR. (1970). Biology of Cognition. As Reprinted in Autopoiesis and Cognition: The Realization of the Living pp: 1-14 PDF

October 11
Grossberg, S. (1987). Competitive Learning: From Interactive Activation to Adaptive Resonance. Cognitive Science, 11, 23-63. PDF

October 4
Grossberg, S. (1969). Embedding fields: A theory of learning with physiological implications. Journal of Mathematical Psychology, 6, 209-239. PDF

September 27
Townsend, J. T., & Busemeyer, J. R. (1989). Approach-avoidance: Return to dynamic decision behavior. In Chizuko Izawa (Ed.), Current Issues in Cognitive Processes: The Tulane Flowerree Symposium on Cognition. Hillsdale, NJ: Erlbaum Associates. PDF

September 20
Conant, R.C., & Ashby, W.R. (1970) Every Good Regulator of a System Must be a Model of that System. International Journal of Systems Science, No. 2, 89-97. PDF

September 13
Moreno, A., Ruiz-Mirazo, K., & Barandiaran X. (2009) The Impact of the Paradigm of Complexity on the Foundational Frameworks of Biology and Cognitive Science. In: Handbook of the Philosophy of Science (Vols. 1-10, Vol. Philosophy of Complex Systems) PDF

September 6
Di Paolo, E., Noble, J., & Bullock, S. (2000) Simulation Models as Opaque Thought Experiments. Artificial Life VII: The Seventh International Conference on the Simulation and Synthesis of Living Systems. PDF

Summer 2012

May 24
Von Foerster, H. (1970). Molecular Ethology: An Immodest Proposal for Semantic Clarification. In G. Ungar (Ed.), Molecular Mechanisms in Memory and Learning (pp. 213–248). New York: Plenum Press. PDF

May 14
Clark, A. (in press). Whatever Next? Predictive Brains, Situated Agents, and the Future of Cognitive Science. Behavioral and Brain Sciences. PDF

Spring 2012

April 19
Dupuy, J. (2009). On the Origins of Cognitive Science: The Mechanization of Mind, pp: 113-143.

April 12
Dupuy, J. (2009). On the Origins of Cognitive Science: The Mechanization of Mind, pp: 70-112.

April 5
Dupuy, J. (2009). On the Origins of Cognitive Science: The Mechanization of Mind, pp: 43-69.

March 29
Dupuy, J. (2009). On the Origins of Cognitive Science: The Mechanization of Mind, pp: 27-42.

March 22
Dupuy, J. (2009). On the Origins of Cognitive Science: The Mechanization of Mind, pp: 3-26.

March 1
Shalizi, C. R. (2009). Dynamics of Bayesian updating with dependent data and misspecified models. Electronic Journal of Statistics, 3, 1039-1074. PDF (for a summary see Shalizi's related blog post)

February 23
Hopfield, J. J., & Brody, C. D. (2001). What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. Proceedings of the National Academy of Sciences, 98 (3), 1282-1287. PDF

February 9
Breiman, L. (2001). Statistical modeling: The two cultures. Statistical Science, 16 (3), 199-231. PDF

January 26
Pecevski, D., Buesing, L., & Maass, W. (2011). Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons. PLoS Computational Biology, 7 (12), 1-25. PDF

January 19
Reshef, D. N., et al. (2011). Detecting novel associations in large data sets. Science, 334, 1518-1524. PDF

Fall 2011

December 7
Berlyne, D. E. (1975). Behaviourism? Cognitive theory? Humanistic psychology? - To Hull with them all! Canadian Psychological Review, 16 (2), 69-80. PDF

November 30
Ioannidis, J. P. A. (2005). Why most published research findings are false. PLoS Medicine, 2 (8), 696-701. PDF

November 16
Anderson, B. (2011). There is no such thing as attention. Frontiers in Psychology, 2, 1-8. PDF

November 9
Pearl, J. (2009). Causal inference in statistics: An overview. Statistics Surveys, 3, 96-146. PDF

November 2
Kalish, C. W., Rogers, T. T., Lang, J., & Zhu, X. (2011). Can semi-supervised learning explain incorrect beliefs about categories? Cognition, 120, 106-118. PDF

October 26
Freyd, J. J. (1993). Five hunches about perceptual processes and dynamic representations. In D. Meyer and S. Kornblum (Eds.), Attention and Performance XIV: Synergies in Experimental Psychology, Artificial Intelligence, and Cognitive Neuroscience (pp. 99-119). Cambridge, MA: MIT Press. PDF

October 19
Glymour, C. (1998). What went wrong? Reflections on science by observation and the bell curve. Philosophy of Science, 65 (1), 1-32. PDF

October 12
Gershman, S. J., & Niv, Y. (2010). Learning latent structure: Carving nature at its joints. Current Opinion in Neurobiology, 20, 251-256. PDF

October 5
Ramscar, M., Yarlett, D., Dye, M., Denny, K., & Thorpe, K. (2010). The effects of feature-label-order and their implications for symbolic learning. Cognitive Science, 34, 909-957. PDF

September 28
Shepard, R. N. (1984). Ecological constraints on internal representation: Resonant kinematics of perceiving, imagining, thinking, and dreaming. Psychological Review, 91 (4), 417-447. PDF

September 21
Frankenhuis, W. E., & Panchanathan, K. (2011). Balancing sampling and specialization: An adaptationist model of incremental development. Proceedings of the Royal Society B. PDF

September 14
Christiansen, M. H., & Chater, N. (2008). Language as shaped by the brain. Behavioral and Brain Sciences, 31, 489-509. PDF

Spring 2011

April 22
Berlyne, D. E. (1957). Uncertainty and conflict: A point of contact between information-theory and behavior-theory concepts. Psychological Review, 64 (6), 329-339. PDF (errata)

April 8
Chatterjee, A. (2010). Disembodying cognition. Language and Cognition, 2 (1), 79-119. PDF

April 1
Tononi, G., Sporns, O., & Edelman, G. M. (1996). A complexity measure for selective matching of signals by the brain. Proceedings of the National Academy of Sciences, 93, 3422-3427. PDF

March 25
Kemp, C., & Tenenbaum, J. T. (2008). The discovery of structural form. Proceedings of the National Academy of Sciences, 105 (31), 10687-10692. PDF

March 11
Linsker, R. (1990). Perceptual neural organization: Some approaches based on network models and information theory. Annual Review of Neuroscience, 13, 257-281. PDF

March 4
Tononi, G. (2008). Consciousness as Integrated Information: A Provisional Manifesto. Biological Bulletin, 215, 216-242. PDF

February 25 @ El Norteno
Settles, B. (2009). Active Learning Literature Survey. Computer Sciences Technical Report 1648, University of Wisconsin–Madison. PDF

February 11 @ El Norteno
Sporns, O. (2011). Networks of the Brain. MIT Press: Cambridge, MA.
Chapter 9, "Networks for Cognition". ZIP-compressed PDF

February 4 @ El Norteno
Sporns, O. (2011). Networks of the Brain. MIT Press: Cambridge, MA.
Chapter 7, "Economy, Efficiency, and Evolution". PDF

January 28 @ El Norteno
Moazzezi, R., & Dayan, P. (2008). Change-based inference for invariant discrimination. Network: Computation in Neural Systems, 19 (3), 236-252. PDF

Fall 2010

December 10 @ Runcible Spoon
Gold, E. M. (1967). Language identification in the limit. Information and Control, 10, 447-474. PDF

December 3 @ Runcible Spoon
Gallistel, C. R., Fairhurst, S., & Balsam, P. (2004). The learning curve: Implications of a quantitative analysis. Proceedings of the National Academy of Sciences, 101 (36), 13124-13131. PDF

November 12 @ Runcible Spoon
McClelland, J. M., et al. (2010). Letting structure emerge: Connectionist and dynamical systems approaches to understanding cognition. Trends in Cognitive Sciences, 14, 348-356. PDF
Griffiths, T. L., et al. (2010). Probabilistic models of cognition: Exploring representations and inductive biases. Trends in Cognitive Sciences, 14, 357-364. PDF
(Responses to both)

November 5 @ Runcible Spoon
Ashby, W. R. (1952/1960 [2nd ed.]). Design for a Brain. Wiley & Sons: New York, NY. Link
Chapter 16, "Adaptation in the Multistable System". PDF
Chapter 17, "Ancillary Regulations". PDF
Chapter 18, "Amplifying Adaptation". PDF

October 29 @ Runcible Spoon
Ashby, W. R. (1952/1960 [2nd ed.]). Design for a Brain. Wiley & Sons: New York, NY. Link
Chapter 14, "Repetitive Stimuli and Habituation". PDF
Chapter 15, "Adaptation in Iterated and Serial Systems". PDF

October 22 @ Runcible Spoon
Ashby, W. R. (1952/1960 [2nd ed.]). Design for a Brain. Wiley & Sons: New York, NY. Link
Chapter 12, "Temporary Independence". PDF
Chapter 13, "The System with Local Stabilities". PDF

October 15 @ Runcible Spoon
Ashby, W. R. (1952/1960 [2nd ed.]). Design for a Brain. Wiley & Sons: New York, NY. Link
Chapter 10, "The Recurrent Situation". PDF
Chapter 11, "The Fully-joined System". PDF

October 8 @ Runcible Spoon
Ashby, W. R. (1952). Design for a Brain. Wiley & Sons: New York, NY. Link
Chapter 5, "Adaptation as Stability". PDF
Chapter 6, "Parameters". PDF
Chapter 7, "Step-Functions". PDF
Chapter 8, "The Ultrastable System". PDF
Chapter 9, "Ultrastability in the Living Organism". PDF
(Optional references, Chapter 21, "Parameters", Chapter 22, "Step-Functions", Chapter 23, "The Ultrastable System".)

September 24 @ Runcible Spoon
Ashby, W. R. (1952). Design for a Brain. Wiley & Sons: New York, NY. Link
Chapter 3, "The Animal as Machine". PDF
Chapter 4, "Stability". PDF
(Optional reference, Chapter 20, "Stability" - PDF.)

September 17 @ Runcible Spoon
Ashby, W. R. (1952). Design for a Brain. Wiley & Sons: New York, NY. Link
Chapter 1, "The Problem". PDF
Chapter 2, "Dynamic Systems". PDF (Chapter 19, "The Absolute System", may be a useful reference for this chapter - PDF)
(Also, for fun, the preface and the table of contents.)

September 10 @ Runcible Spoon
ORGANIZATIONAL MEETING

Summer 2010

We meet Fridays at 6pm at different places

August 13 @ Runcible Spoon
Pfeifer, R., M. Lungarella, et al. (2007). "Self-organization, embodiment, and biologically inspired robotics." Science 318(5853): 1088. PDF

July 23 @ Runcible Spoon
Williams, L., & Bargh, J. (2008). Experiencing physical warmth promotes interpersonal warmth. Science, 322(5901), 606. PDF

June 18 @ Runcible Spoon
Jaynes, E. (1957). Information theory and statistical mechanics. Physical review, 108(2), 171-190. PDF

June 4 @ Runcible Spoon
Logothetis, N. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869-878. PDF

Spring 2009

May 21 @ Firat's house
Mukamel, R., Ekstrom, A., Kaplan, J., Iacoboni, M., & Fried, I. (2010). Single-neuron responses in humans during execution and observation of actions. Current biology. PDF

May 4
Mitchell, T., Shinkareva, S., Carlson, A., Chang, K., Malave, V., Mason, R., et al. (2008). Predicting human brain activity associated with the meanings of nouns. Science, 320(5880), 1191. PDF

April 20
Barsalou, L. (2008). "Grounded Cognition." Annu. Rev. Psychol 59: 617-645. PDF

April 6
Andres, M., E. Olivier, et al. (2008). "Actions, words, and numbers." Current Directions in Psychological Science 17(5): 313. PDF

March 23
Friston, K. (2010). The free-energy principle: a unified brain theory?. Nature Reviews Neuroscience 11(2): 127-138. PDF

Feb 16
West, M., & King, A. (1987). Settling nature and nurture into an ontogenetic niche. Developmental Psychobiology, 20(5), 549-562. PDF

Jan 26
Tinbergen, N. (1963). On aims and methods of ethology. Zeitschrift für Tierpsychologie, 20, 410-433. PDF

Jan 12
Hutchins, Edwin. How a cockpit remembers its speeds. Cognitive Science, 19, 1995, 265-288. PDF

Fall 2009

Oct 16
Merleau-Ponty, Maurice. The Phenomenology of Perception, 1945: pp 60-83.

Oct 2
Merleau-Ponty, Maurice. The Phenomenology of Perception, 1945: pp i-30.

… a break …

Summer 2009

July 3
(@ Art's house)
Tsuda, I. (2001). Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems. BBS, 24, 793-847. PDF

June 19
(@ Dan's house)
Núñez, R., & Lakoff, G. (2005). The cognitive foundations of mathematics: The role of conceptual metaphor. Handbook of mathematical cognition, 109.124. PDF

Sfard, A. (1994). Reification as a birth of a metaphor. For the Learning of Mathematics, 14(1), 44-55. PDF

EXTRA:
Núñez, R. E. (2008). Mathematics, the Ultimate Challenge to Embodiment: Truth and the Grounding of Axiomatic Systems. In P. Calvo & T. Gomila (Eds.), Handbook of Cognitive Science: An Embodied Approach, pp. 333-353. PDF

June 5
(@ Firat's house)
RG Millikan, "Pushmi-Pullyu Representations", Philosophical Perspectives, Vol. 9, AI, Connectionism and Philosophical Psychology (1995), pp. 185-200 PDF

RG Millikan, "Styles of Rationality", In Rationality in Animals, M. Nudds and S. Hurley eds. (Oxford: Oxford University Press), (2006) PDF

EXTRA:
RG Millikan, "A common structure for concepts of individuals, stuffs, and real kinds: More Mama, more milk, and more mouse", Behavioral and Brain Sciences (1998). PDF

Spring 2009

We meet Wednesdays @ 8:30pm, at El Norteño (used to be Mondays)

May 22
(@ Rob's house)
BF Skinner, "Are theories of learning necessary?" Psychological Review, 57(4), 1950, 193-216. PDF
Optional: Tom Mitchell's "The Discipline of Machine Learning" PDF

May 6
Roger C. Conant, W. Ross Ashby, "Every Good Regulator of a System Must be a Model of that System", International Journal of Systems Science, 1970 PDF
Arturo Rosenbluth, Norbert Wiener and Julian Bigelow, "Behavior, Purpose, and Teleology", Philosophy of Science, vol. 10, 1943, 18.24 PDF
Daniel Dennett, "Real Patterns", Journal of Philosophy, 1991, 27-51 PDF

Apr 22
Francisco J Varela, Evan Thompson, Eleanor Rosch, The Embodied Mind: Cognitive Science and Human Experience, 1993, Chapters 9-11.

Apr 15
Francisco J Varela, Evan Thompson, Eleanor Rosch, The Embodied Mind: Cognitive Science and Human Experience, 1993, Chapters 8.

Apr 1
Francisco J Varela, Evan Thompson, Eleanor Rosch, The Embodied Mind: Cognitive Science and Human Experience, 1993, Chapters 6, 7.

SPRING BREAK

[NOTICE: now on Wednesday!]
Mar 2
Kurt Koffka, "Perception: An introduction to the Gestalt-theorie", 1922. LINK

Feb 9
Vygotsky, Lev. Mind in Society: The Development of Higher Psychological Processes, 1930: ch 6-7. CH.6 LINK CH.7 LINK

Jan 26
Vygotsky, Lev. Mind in Society: The Development of Higher Psychological Processes, 1930: ch 1-2. LINK

WINTER BREAK

Fall 2008

Dec 4
L. Goldfarb, "Representational formalisms: what they are and why we haven't had any" PDF

Nov 13
A. S. Klyubin, D. Polani, C. L. Nehaniv, "Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop", Neural Computation, vol. 19, 2007, pp. 2387-2432 PDF

Oct 23
R. Legenstein and W. Maass, .What makes a dynamical system computationally powerful?., New Directions in Statistical Signal Processing: From Systems to Brain, 2005 PDF

Oct 9
L. Floridi, .Open Problems in the Philosophy of Information., Metaphilosophy, vol. 35, Jul. 2004 PDF

-Mike's gushing review of Floridi

Sep 25
W. Ross Ashby, "Principles of the self-organizing system," in Principles of Self-Organization: Transactions of the University of Illinois Symposium, H. Von Foerster and G. W. Zopf, Jr. (eds.), 1962, pp. 255-278. PDF

Links

People

Papers

Information Theory

N. Ay and D. Polani, “Information Flows in Causal Networks”, ADVANCES IN COMPLEX SYSTEMS, vol. 11, 2008, p. 17 PDF

Y. Bar-Yam, “Multiscale Complexity/Entropy”, ADVANCES IN COMPLEX SYSTEMS, vol. 7, 2004, pp. 47-64 PDF

N. Bertschinger et al., “Autonomy: An information theoretic perspective”, BioSystems, vol. 91, 2008, pp. 331-345 PDF

K. Hlavácková-Schindler et al., “Causality detection based on information-theoretic approaches in time series analysis”, Physics Reports, vol. 441, 2007, pp. 1-46 PDF

J. Jost et al., “An information theoretic approach to system differentiation on the basis of statistical dependencies between subsystems”, Physica A: Statistical Mechanics and its Applications, vol. 378, May. 2007, pp. 1-10 PDF

X.S. Liang and R. Kleeman, “Information Transfer between Dynamical System Components”, Physical Review Letters, vol. 95, 2005, p. 244101 PDF

J.T. Lizier, M. Prokopenko, and A.Y. Zomaya, “A framework for the local information dynamics of distributed computation in complex systems”, Physica D, submitted. 2008

J.T. Lizier, M. Prokopenko, and A.Y. Zomaya, “Local information transfer as a spatiotemporal filter for complex systems”, 0809.3275, Sep. 2008 PDF

M. Lungarella and O. Sporns, “Mapping Information Flow in Sensorimotor Networks.”, PLoS Computational Biology, vol. 2, Oct. 2006, pp. 1301-1312 PDF

M. Prokopenko, F. Boschetti, and A.J. Ryan, “An information-theoretic primer on complexity, self-organisation and emergence”, Advances in Complex Systems, 2007 PDF

T. Schreiber, “Measuring Information Transfer”, Physical Review Letters, vol. 85, 2000, pp. 461-464 PDF

C.R. Shalizi and C. Moore, “What Is a Macrostate? Subjective Observations and Objective Dynamics”, cond-mat/0303625, Mar. 2003 PDF

C.R. Shalizi, K.L. Shalizi, and J.P. Crutchfield, “An Algorithm for Pattern Discovery in Time Series”, cs/0210025, Oct. 2002 PDF

R.V. Solé and S. Valverde, “Information Theory of Complex Networks: OnEvolution and Architectural Constraints”, 2004, pp. 189-207 PDF

Neuroscience

J. Atick, “Could information theory provide an ecological theory of sensory processing?”, Network: Computation in Neural Systems, vol. 3, 1992, pp. 213-251 PDF

A.J. Bell and T.J. Sejnowski, “An Information-Maximization Approach to Blind Separation and Blind Deconvolution”, Neural Computation, vol. 7, Nov. 1995, pp. 1129-1159 PDF

C. Fernando and S. Sojakka, “Pattern Recognition in a Bucket”, Advances in Artificial Life, 2003, pp. 588-597 PDF

W.J. Freeman, “A Neurobiological Theory of Meaning in Perception Part I:: Information and Meaning in Nonconvergent and Nonlocal Brain Dynamics.”, International Journal of Bifurcation & Chaos in Applied Sciences & Engineering, vol. 13, 2003, p. 2493 PDF

R. Linsker, “Self-organization in a perceptual network”, Computer, vol. 21, 1988, pp. 105-117 PDF

W. Maass, T. Natschlager, and H. Markram, “Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations”, Neural Computation, vol. 14, 2002, pp. 2531-2560 PDF

D. Prokhorov, “Echo state networks: appeal and challenges”, Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, 2005, pp. 1463-1466 vol. 3 PDF

M. Rabinovich, R. Huerta, and G. Laurent, “NEUROSCIENCE: Transient Dynamics for Neural Processing”, Science, vol. 321, Jul. 2008, pp. 48-50 PDF

G. Tononi, G.M. Edelman, and O. Sporns, “Complexity and coherency: integrating information in the brain”, Trends in Cognitive Sciences, vol. 2, 1998, pp. 474-484 PDF

Philosophy

X. Barandiaran and A. Moreno, “On the nature of neural information: A critique of the received view 50 years later”, Neurocomputing, 2007 PDF

J. Barham, “A dynamical model of the meaning of information”, BioSystems, vol. 38, 1996, pp. 235-241 PDF

P. Cisek, “Beyond the Computer Metaphor: Behaviour as interaction”, JOURNAL OF CONSCIOUSNESS STUDIES, vol. 6, 1999, pp. 125-142 PDF

J. Collier, “Causation is the Transfer of Information”, Causation, Natural Laws and Explanation, H. Sankey, ed., 1997 PDF

C. Eliasmith, “Is the brain analog or digital? The solution and its consequences for cognitive science”, Cognitive Science Quarterly, vol. 1, 2000, pp. 147-170 PDF

L. Floridi, “Semantic Conceptions of Information” PDF

Goldfarb, Lev, “Representational formalisms: what they are and why we haven't had any”, 2006 PDF

Biosemiotics

M. Barbieri, “Biosemiotics: a new understanding of life”, Naturwissenschaften, vol. 95, Jul. 2008, pp. 577-599 PDF

S. Brier, Cybersemiotics: Why Information is Not Enough, 2007 PDF

P. Capdepuy, D. Polani, and C.L. Nehaniv, “Constructing the Basic Umwelt of Artificial Agents: An Information-Theoretic Approach”, LECTURE NOTES IN COMPUTER SCIENCE, vol. 4648, 2007, p. 375

P. Lyon, “The biogenic approach to cognition”, Cognitive Processing, vol. 7, Mar. 2006, pp. 11-29 PDF

M. Piraveenan, D. Polani, and M. Prokopenko, “Emergence of Genetic Coding: An Information-Theoretic Model”, Advances in Artificial Life, 2007, pp. 42-52 PDF

D. Polani, O. Sporns, and M. Lungarella, “How Information and Embodiment Shape Intelligent Information Processing”, LECTURE NOTES IN COMPUTER SCIENCE, vol. 4850, 2007, p. 99

“Biosystems Autonomy issue, Volume 93, Issue 3, Pages 151-260 (September 2008)”, 2008 PDF

Others

JJ Gibson, "New Reasons for Realism", Synthese, 17:2, 1967, p.162. PDF

Daniel Casasanto, "Embodiment of Abstract Concepts: Good and Bad in Right- and Left-Handers", Journal of Experimental Psychology: General, 2009. PDF

The Five Graces Group, "Language is a Complex Adaptive System", SFI Working Papers, 2008
PDF

Anagol et al. "There’s Something About Ambiguity. 2008 PDF

Classics

FRIEDMAN, M. Use of ranks to avoid the assumption of normality
implicit in the analysis of variance
. Amer. statist. Ass., 1937, 32,
675-701.

MANN, H. B., & WHITNEY, D. R. On a test of whether one of two random
variables is stochastically larger than the other
. Ann. math.
Statist., 1947,18, 50-60.

TUKEY, J. W. Comparing individual means in the analysis of variance.
Biometrics, 1949, B, 99-114.

WILCOXON, F. Some rapid approximate statistical procedures. Stamford,
Conn.: American Cyanamid Co., 1949.

Zipf, G. K., Human Behavior and The Principle of Least Effort: An Introduction to Human Ecology. Reading, Mass., Addision-Wesley (1949) PDF (31mb) DJVU (smaller file but you need to dl djvu viewer)

Herbert Simon, “The Architecture of Complexity”, Proceedings of the American Philosophical Society, vol. 106, Dec. 1962, pp. 467-482 PDF

Pylyshyn (1978) "Computational Models and Empirical constraints" BBS v1 Pylyshyn 1978 PDF

“The Cognitive Science Millennium Project” (100 classic papers) Link

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