REVIEW 5 major objections 5 minor 93 references
The use of knowledge in open-ended systems
T0 review · 5 major / 5 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read The paper argues that in open-ended evolutionary systems, observers' knowledge is local and frame-relative: common knowledge is generally impossible, and rational agents can agree to disagree.
desk verdict A stimulating essay whose formal theorems are not established: the impossibility results rest on an unproved conjecture and several appendix proofs are invalid. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The framework's load-bearing objects are the observer-specific theory \(T_{i,t}\), the model \(M_{i,t}\), the set of nonlogical constants \(P_{i,t}\), and the decision procedure \(\delta_{i,t}:\Omega_{i,t}\to\Sigma_{i,t}\) that assigns truth values to sentences. Local knowledge \(\kappa_{i,t}(\omega)\) is the set of sentences in state \(\omega\) prefixed with the knowledge operator \(k_{i,t}\); the contextual knowledge possible \(K_{i,t}\) collects all states decidable by \(\delta_{i,t}\); and the adjacent knowledge possible \(A_{i,t}=K_{i,t+1}\setminus K_{i,t}\) captures the new states that enter between time steps. The Disjointness Conjecture, that \(K_{i,t}\neq K_{j,t}\) in general for different agents, is what carries the impossibility of common knowledge, while the non-convergence of theory revision, grounded in Gödelian undecidability, carries frame relativity.
What would settle it
Construct an open-ended evolutionary system with two observers who, despite continual novelty, maintain identical knowledge sets \(K_{i,t}=K_{j,t}\) at every time step, for example by having all new predicates broadcast symmetrically to both; then common knowledge would be possible and OEE2 and OEE3 would fail. Alternatively, exhibit a specific OEE process whose theory revision sequence \(\{T_{i,t}\}_{t}\) converges to a decidable \(T_\$\Omega$\), which would falsify OEE1 and frame relativity.
Extended reading notes
Core claim
The central discovery the paper asserts is frame relativity: a complete and correct theory of an open-ended evolutionary system is possible only for an agent outside the system, while any embedded observer is limited to their own known-world \(\Omega_{i,t}\), theory \(T_{i,t}\), and decision procedure \(\delta_{i,t}\). From this, the paper derives five results. OEE1 says an observer's believed-true propositions and the true propositions of the system can never coincide. OEE2 says common knowledge is in general impossible because knowledge hierarchies of different individuals are not mutually consistent. OEE3 says agents can therefore rationally agree to disagree. OEE4 says random, heuristic, or aesthetic search can be as knowledge-generative as logical search because logic alone cannot resolve the undecidable disjunctions an OEE system continually produces. OEE5 says knowledge in such systems is non-ergodic: the time average of local knowledge does not converge to a state-space average because the adjacent possible is always nonempty.
Load-bearing premise
The proof that common knowledge is impossible and that agents can agree to disagree rests on the unproved Disjointness Conjecture, which asserts that different observers' local knowledge sets are at least partially disjoint across time and agents; the proof sketch appeals to the very non-convergence result the paper is trying to establish.
Editorial extensions
If this is right
- No observer embedded in an OEE system can ever reach the theory of everything \(T_\Omega\), and the number of statements true in \(T_\Omega\) but undecidable in \(T_{i,t}\) is infinite.
- Common knowledge cannot be presumed in open-ended systems, so coordination must be achieved through explicit institutions, shared codes, and other knowledge-sharing mechanisms.
- Agents can rationally agree to disagree, overturning the classical result that common priors and common knowledge force agreement.
- Nonlogical modes of reasoning such as aesthetics and heuristics are not mere biases; they can be as knowledge-generative as logical deduction when undecidable disjunctions are unavoidable.
- Knowledge in OEE systems is non-ergodic, so an individual's time average of knowledge cannot be replaced by an ensemble average over possible states.
Reading between the lines
- Extension: if frame relativity is correct, expert failure and scientific consensus are not merely corrigible by more computation or better data; they are structural limits of any embedded observer, which would extend Hayek's knowledge problem to organized science.
- Extension: the framework suggests a testable prediction that faster open-ended change should increase cultural, ideological, and aesthetic fragmentation, because shared nonlogical codes become more valuable and cheaper to maintain in niches.
- Extension: the non-ergodicity result gives a formal epistemology for the recent critique of expected utility theory based on ergodicity; one could test it by simulating an artificial-life system where agents with asymmetric observations of novelty repeatedly disagree despite common priors.
- Extension: the 'many-selves' reading of reasoning through time implies that preference change is not just a parameter shift but a change in the observer's known-world, which could be operationalized in behavioral experiments on how people reinterpret past choices after radical novelty.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper develops a syntactic epistemic-logic framework for knowledge in open-ended evolutionary (OEE) systems. It defines per-agent "known-worlds" Ω_{i,t}, theories T_{i,t}, predicate sets P_{i,t}, decision procedures δ_{i,t}, contextual knowledge sets K_{i,t}, and local knowledge κ_{i,t}, and it proposes five headline results: OEE1 (believed truths never fully coincide with true truths), OEE2 (common knowledge is generally impossible), OEE3 (agents can agree to disagree), OEE4 (nonlogical search can be as knowledge-generative as logical search), and OEE5 (knowledge is non-ergodic). The formal apparatus is presented in an appendix with definitions, propositions, and corollaries. The central philosophical claim is "frame relativity": an observer embedded in an OEE system cannot possess a complete and correct model of the system, and individual knowledge is local and fragmented across agents and time.
Significance. If OEE1–OEE5 were soundly derived, the paper would provide a substantive formal challenge to closed-world epistemic logic and would motivate a research program on institutions, aesthetics, and heuristics as knowledge-generating devices under genuine novelty. The authors are to be credited for making their formalism explicit enough that the gaps are checkable, and for transparently labeling the key cross-agent assumption as a conjecture. However, the significance is currently prospective: the individual-level incompleteness results largely restate the definition of open-endedness, while the cross-agent results OEE2 and OEE3 rest on an unproved conjecture and an undeveloped probabilistic model. The paper supplies no machine-checked proofs and no falsifiable predictions, and several appendix proofs are invalid as written. The central claims are therefore not established by the manuscript in its present form.
major comments (5)
- [§3.2, Conjecture 1; Appendix, Proposition 6 and Corollary 2] The proof of OEE2 uses the unproved Disjointness Conjecture as a premise. Corollary 2 begins "Under open-ended evolution, T_{i,t} ≠ T_{j,t} ≠ T_Ω in general," which is exactly the conjecture restated as a fact rather than a derived conclusion. The proof sketch of Conjecture 1 appeals to Theorem 1, but Theorem 1 concerns a single agent's theory extension across time (P_{i,t+1}\P_{i,t} ≠ ∅) and says nothing about whether two different agents' theories or knowledge sets are disjoint. Definition 7 is an individual condition; it is compatible with all agents observing the same sequence of new predicates and sharing identical theories and known-worlds at every time. Therefore OEE2 is not established, and Proposition 6's claim that hierarchies are "in general" inconsistent inherits the same gap.
- [Appendix, Corollary 3] The "agree to disagree" conclusion does not follow from Proposition 6 and Corollary 2 as stated. In Aumann's sense, agreeing to disagree means that differing posterior beliefs are common knowledge, which requires a probabilistic apparatus: states with prior probabilities, posterior belief functions, and a definition of common knowledge of those beliefs. The paper never defines posteriors, common priors, or a probabilistic counterpart of K_{i,t}. Corollary 3 is asserted as a "direct consequence" without supplying any of the machinery that gives the phrase its standard meaning, so OEE3 is not demonstrated.
- [Appendix §6.7, Proposition 8 and Corollary 5] Proposition 8's proof cites "Theorems 7 and 5," but no Theorem 7 exists in the manuscript. More substantively, the argument that an algorithmic process m "does not halt" does not establish that there exists a sentence ξ' in Ω for which m is not specified: a non-halting process could still decide every sentence at some finite stage. Corollary 5 then infers from Proposition 8 that T_{i,t} is not recursively enumerable, which is a much stronger claim than the proposition establishes. Thus the frame-relativity result, as formalized, is not proved.
- [Appendix, Lemma 2] The finite-τ argument is logically invalid. From the assumption that there are finitely many undecidable disjunctions D_{i,t} with |D_{i,t}| = τ, the proof concludes that T_{i,t+τ} = T_Ω. But open-endedness only guarantees that new predicates arrive at each step; it does not imply that the number of undecidable disjunctions equals the number of steps to the theory of everything, nor that T_Ω is reached after τ steps at all. The further claim that D_{i,t} is uncountably infinite is also unsupported by the preceding argument, which at most suggests an infinite set.
- [Definition 7, Proposition 5, Lemma 1, Theorem 2] The individual-level impossibility result OEE1 is true by construction rather than by substantive proof. Definition 7 defines open-endedness as P_{i,t+1}\P_{i,t} ≠ ∅; Proposition 5 derives the nonemptiness of the adjacent knowledge possible A_{i,t} from this definition; Lemma 1 derives the existence of an undecidable sentence; and Theorem 2 uses Lemma 1 to conclude that knowledge is incomplete. This chain is valid but analytic: it shows that if one defines open-endedness as the arrival of new predicates, then individual knowledge is incomplete. The paper should state this explicitly, because OEE2–OEE5 inherit the definitional character of OEE1 rather than gaining independent empirical or mathematical support.
minor comments (5)
- [Definition 13] The definition text says "the quotient of the temporally adjacent contextual knowledge possible K_{i,t+1} with the current contextual knowledge possible K_{i,t+1}," but the displayed formula and the prose clearly require K_{i,t}, not K_{i,t+1}, in the second position.
- [Equations (3.2), (6.3), and Proposition 8] There are several notation slips: δ_{i,t}(ξ) + δ_{it},(¬ξ) contains a stray comma in the second term; Proposition 8 refers to "Theorems 7 and 5" when only Theorem 5 exists; and the appendix refers to "SE5" where Section 2.1 uses "S5n." These should be corrected.
- [Proposition 2(ii)] The statement "T_{i,t} = P_{i,t}" equates a theory with a set of nonlogical constants. Since a theory is a set of sentences and P_{i,t} is a set of predicates, this equality is a category error unless an unconventional identification is intended, which should be defined.
- [Appendix, Proposition 6] The proof contains apparent typographical repetitions ("T_{i,t} ⊂ T_Ω, T_{i,t} ⊂ T_Ω") and does not actually prove the claimed generic inconsistency; it merely asserts that equality of theories "is not true under open-ended evolution," which is the conjecture.
- [Section 4.6] The discussion of the "ragged partition" of system-level time is informal and does not engage with the formal definitions of T used elsewhere; it reads as a modeling suggestion rather than a result, and should be labeled as such.
Circularity Check
OEE2/OEE3 rest on the unproved Disjointness Conjecture used as a premise, while OEE1 and OEE5 restate the definition of open-endedness.
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self definitional
[Appendix 6.5, Proposition 5 (also Section 3.2)]
"Suppose A_{i,t}=∅. Then P_{i,t+1}=P_{i,t} by the definition of δ_{i,t}. But OEE systems are defined such that P_{i,t+1}\P_{i,t}≠∅. Therefore, A_{i,t}≠∅."
Definition 7 defines an OEE process by P_{i,t+1}\P_{i,t}≠∅, i.e., the appearance of new predicates is the definition of open-endedness. Proposition 5's proof uses exactly this defining condition to conclude A_{i,t}≠∅; it is the same fact restated in knowledge-space terminology. Lemma 1 and Theorem 2 then cite this nonemptiness to prove that individual knowledge is incomplete, so the incompleteness claim is a paraphrase of the definition rather than a derived theorem.
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other
[Section 3.2, Conjecture 1 (Disjointness)]
"Conjecture 1. (Disjointness) Under open-ended evolution, local knowledge is at least partially disjoint at any cross section of time and between cross sections. That is, K_{i,t}≠K_{j,t} in general for i,j∈N,t∈T."
The paper labels cross-agent disjointness as a conjecture and gives only a sketch. The sketch argues from Theorem 1, which states only that one agent's extension is essential relative to that agent's own earlier theory when new predicates appear; it says nothing about two agents' theories or knowledge sets converging to each other. The conjecture is therefore not derived; it is an additional assumption. The paper's central result OEE2 (common knowledge generally impossible) is then presented as following from this assumption, so the conclusion is imported as a premise.
3 more flagged steps
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other
[Appendix 6.5, Corollary 2 proof]
"Under open-ended evolution, T_{i,t}≠T_{j,t}≠T_Ω in general, which implies that P_{i,t}≠P_{j,t}≠P_Ω."
Corollary 2's proof begins with 'Under open-ended evolution, T_{i,t}≠T_{j,t}≠T_Ω in general,' which is exactly the cross-agent disjointness that Conjecture 1 was supposed to establish. No proof is supplied at this point; the previous material only established individual-level non-convergence (Theorem 1). Thus the impossibility of common knowledge is reduced to an unproved conjecture restated as a fact, and the proof does not go beyond its starting assumption.
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other
[Appendix 6.5, Proposition 6 proof]
"Suppose that, in general, T_{i,t}=T_{j,t}. But this would imply that K_{i,t}=K_{j,t} and Ω_{i,t}=Ω_{j,t} in general, which is not true under open-ended evolution."
Proposition 6 asserts that pairs of knowledge hierarchies are generally inconsistent and justifies it by 'which is not true under open-ended evolution' — i.e., it invokes the Disjointness Conjecture (K_{i,t}≠K_{j,t}, Ω_{i,t}≠Ω_{j,t}) as the reason. This is the same conjecture that Corollary 2 is meant to apply; the hierarchy-inconsistency result is therefore assumed, not proved.
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self definitional
[Section 4.5, Proposition 1]
"But by Proposition 5, A_{i,τ}≡K_{i,τ+1}\K_{i,τ}={ω′∉K_{i,τ}} is nonempty, meaning there exist states that lie in K_{i,τ+1} that i cannot integrate over. ... Therefore, they can never derive the right-hand side of the equation unless A_{i,τ} is empty—i.e., the system is closed."
The non-ergodicity proof uses Proposition 5's A_{i,τ} nonempty, which was derived directly from the defining condition P_{i,t+1}\P_{i,t}≠∅. The conclusion 'unless A_{i,τ} is empty—i.e., the system is closed' makes explicit that non-ergodicity is the definitional negation of closedness. The result restates open-endedness rather than deriving a separate fact about knowledge.
full rationale
The paper's formal apparatus is not circular through self-citation: the cited prior work by the authors (e.g., Koppl et al. 2023; Devereaux et al. 2024) is used for context and motivation, not as the proof of OEE1-5. However, the central derivation chain is substantially definitional. Open-endedness is defined as P_{i,t+1}\P_{i,t}≠∅ (Definition 7); Proposition 5 immediately converts this into nonempty adjacent knowledge possible, and Lemma 1 / Theorem 2 derive individual incompleteness from that same nonemptiness. The cross-agent disjointness needed for OEE2 and OEE3 is explicitly labeled Conjecture 1, and its proof sketch appeals to Theorem 1, which concerns only a single agent's theory extension, not convergence between agents. Proposition 6 and Corollary 2 then restate the conjecture as a premise ('T_{i,t}≠T_{j,t}≠T_Ω in general'), so the impossibility of common knowledge reduces to the very assumption meant to be established. Corollary 3 inherits this gap and, in addition, asserts Aumann-style 'agree to disagree' without defining posteriors or common priors. OEE5's non-ergodicity proof likewise uses the definitional nonemptiness of A_{i,τ}, making it a restatement of the defining predicate-growth condition. Thus OEE1, OEE2, OEE3, and OEE5 are not independently derived from first principles; they are either immediate unpackings of Definition 7 or consequences of an unproved conjecture reused as a premise. OEE4 is informal and does not introduce a separate circular step. Overall, the central negative results are substantially forced by the setup rather than established by independent argument.
Assumptions & free parameters
assumptions (6)
- domain assumption A theory of everything TOmega exists for the universe, which is consistent and closed.
- domain assumption Every observer's language and theory interprets Peano arithmetic.
- ad hoc to paper Open-endedness is defined by the arrival of new nonlogical constants in every period, so P_{i,t+1}\P_{i,t} is nonempty.
- ad hoc to paper Disjointness Conjecture: local knowledge of different observers is at least partially disjoint.
- domain assumption Each individual believes their own theory is consistent and complete.
- standard math Goedel's first incompleteness theorem and Tarski's undecidability results apply to each individual theory Ti,t.
Cite this review
Pith. "Pith review of The use of knowledge in open-ended systems." pith.science (2026). https://pith.science/paper/MFIZ7NZE
@misc{pith2026241200011,
author = {Pith},
title = {Pith review of: The use of knowledge in open-ended systems},
year = {2026},
howpublished = {\url{https://pith.science/paper/MFIZ7NZE}},
note = {Machine review of arXiv:2412.00011}
}
read the original abstract
Economists model knowledge use and acquisition as a cause-and-effect calculus associating observations made by a decision-maker about their world with possible underlying causes. Knowledge models are well-established for static contexts, but not for contexts of innovative and unbounded change. We develop a representation of knowledge use and acquisition in open-ended evolutionary systems and demonstrate its primary results, including that observers embedded in open-ended evolutionary systems can agree to disagree and that their ability to theorize about their systems is fundamentally local and constrained to their frame of reference what we call frame relativity. The results of our framework formalize local knowledge use, the many-selves interpretation of reasoning through time, and motivate the emergence of nonlogical modes of reasoning like institutional and aesthetic codes.
Reference graph
Works this paper leans on
-
[1]
Adams, A., Zenil, H., Davies, P. C. W., & Walker, S. I. (201 7). Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mec hanisms for Open- Ended Evolution in Dynamical Systems. Scientific Reports, 7 (1), 997
-
[2]
Anscombe, F. J. and R. J. Aumann. (1963). A Definition of Su bjective Probability. Annals of Mathematics and Statistics, 34 : 199-205. 37
1963
-
[3]
D., & Pischke, J
Angrist, J. D., & Pischke, J. S. (2010). The credibility r evolution in empirical eco- nomics: How better research design is taking the con out of ec onometrics. Journal of economic perspectives, 24 (2), 3-30
2010
-
[4]
Arkani-Hamed, N., & Trnka, J. (2014). The amplituhedron . Journal of High Energy Physics, 2014(10), 1-33
2014
-
[5]
Artemov, S. (2022). Towards Syntactic Epistemic Logic ( No. arXiv:2205.13145). arXiv. http://arxiv.org/abs/2205.13145
work page Pith review arXiv 2022
-
[6]
Arthur, W. B. (2009). The nature of technology: What it is and how it evolves . Simon and Schuster
2009
-
[7]
Arthur, W. B. (2015). Complexity and the economy . Oxford University Press
2015
-
[8]
Aumann, R.J. (1976). Agreeing to disagree. Annals of Statistics,4 , 1236–1239
1976
Show all 93 references
-
[9]
Aumann, R. J. (1999a). Interactive epistemology I: Know ledge. International Jour- nal of Game Theory, 28 (3), 263–300
1999
-
[10]
Aumann, R. J. (1999b). Interactive epistemology II: Pr obability. International Jour- nal of Game Theory 28 (3), 301-314
1999
-
[11]
J., & Brandenburger, A
Aumann, R. J., & Brandenburger, A. (1995). Epistemic Con ditions for Nash Equi- librium. Econometrica, 63 (5), 21
1995
-
[12]
A., McMullin, B., de Melo, V
Banzhaf, W., Baumgaertner, B., Beslon, G., Doursat, R., Fos ter, J. A., McMullin, B., de Melo, V. V., Miconi, T., Spector, L., Stepney, S., & Whit e, R. (2016). Defin- ing and simulating open-ended novelty: Requirements, guid elines, and challenges. Theory in Biosciences, 135 (...
2016
-
[13]
Bedau MA, Snyder E, Packard NH. (1998). A classification o f long-term evolution- ary dynamics. In: ALife IV , MIT Press, Cambridge, MA, USA, pp 228–237
1998
-
[14]
2014 [1889]
Bergson, H. 2014 [1889]. Time and free will: An essay on the immediate data of consciousness. Routledge
2014
-
[15]
Bergson, H. (1911). Creative evolution. Henry Holt
1911
-
[16]
Birkhoff, G. D. (1931). Proof of the Ergodic Theorem. Proceedings of the National Academy of Sciences, 17 (12), 656–660. 38
1931
-
[17]
Chaitin, G. (2005). Epistemology as information theor y: From Leibniz to Ω ∗. Com- putation, Information, Cognition–The Nexus and The Limina l; Dodig Crnkovic, G., Ed, 2-17
2005
-
[18]
Axiomatics, the Social Sciences , and the Gödel Phenomenon: A Toolkit
Chaitin,G. (2017a). “Axiomatics, the Social Sciences , and the Gödel Phenomenon: A Toolkit.” In Doria, F. A. , Ed., The Limits of Mathematical Modeling in the Social Sciences: The Significance of Gödel’s Incompletenes s Phenomenon . World Scientific
2017
-
[19]
Chaitin, G. (2017b). The Perfect Language. In Doria, F. A. , Ed., The Limits of Mathematical Modeling in the Social Sciences: The Significa nce of Gödel’s Incom- pleteness Phenomenon , pp. 91-109. World Scientific
2017
-
[20]
Church, A. (1936). A note on the Entscheidungsproblem. The journal of symbolic logic, 1 (1), 40-41
1936
-
[21]
F., & Solé, R
Corominas-Murtra, B., Seoane, L. F., & Solé, R. (2018). Z ipf’s Law, unbounded complexity and open-ended evolution. Journal of The Royal Society Interface, 15 (149), 20180395
2018
-
[22]
Cotler, J., & Strominger, A. (2022). The universe as a qu antum encoder. arXiv preprint arXiv:2201.11658
2022 arXiv
-
[23]
Cox, J. R.., R. A. Griggs (1982). The Effect of Experience on Performance in Wason’s Selection Task. Memory and Cognition, 10 : 496-502
1982
-
[24]
Debreu, G. (1974). Excess Demand Functions. Journal of Mathematical Economics 1:15–23
1974
-
[25]
Dempster, A. P. (1967). Upper and Lower Probabilities I nduced by a Multivalued Mapping. Annals of Mathematical Statistics, 38 : 325-339
1967
-
[26]
& Kauffman, S
Devereaux, A., Koppl, R. & Kauffman, S. (2024). Creative evolution in economics. J Evol Econ
2024
-
[27]
Duim, H., & Otto, S. (2017). Towards open-ended evoluti on in self-replicating molecular systems. Beilstein journal of organic chemistry, 13 (1), 1189-1203
2017
-
[28]
Ellerman, D. (2022). Follow the Math!: The Mathematics of Quantum Mechanics as the Mathematics of Set Partitions Linearized to (Hilbert ) Vector Spaces. Foun- dations of Physics, 52 , 100. 39
2022
-
[29]
Felin, T., & Koenderink, J. (2022). A Generative View of Rationality and Growing Awareness†. Frontiers in Psychology, 13 , 807261
2022
-
[30]
Feyerabend, P. (1993). Against method (3rd ed). Verso
1993
-
[31]
How to Impr ove Bayesian Rea- soning without Instructions: Frequency Formats
Gigerenzer, Gerd and Ulrich Hoffrage (1995). How to Impr ove Bayesian Rea- soning without Instructions: Frequency Formats. Psychological Review, 102 : 684-704
1995
-
[32]
Gilboa, I. (2023). Decision under Uncertainty: State o f the Science. Working paper
2023
-
[33]
Gilboa, I., & Marinacci, M. (2016). Ambiguity and the Bay esian Paradigm. In Readings in formal epistemology (pp. 385–439). Springer
2016
-
[34]
W., & Schmeidler, D
Gilboa, I., Postlewaite, A. W., & Schmeidler, D. (2008) . Probability and Uncer- tainty in Economic Modeling. Journal of Economic Perspectives, 22 (3), 173–188
2008
-
[35]
Gilboa, I., & Schmeidler, D. (1989). Maxmin expected ut ility with non-unique prior. Journal of Mathematical Economics, 18 (2), 141-153
1989
-
[36]
Gilboa, I., & Schmeidler, D. (1993). Updating ambiguou s beliefs. Journal of Eco- nomic Theory, 59 (1), 33-49
1993
-
[37]
Giménez Roche, G. A. (2016). The Impossibility of Entre preneurship Under the Neoclassical Framework: Open vs. Closed-Ended Processes. Journal of Economic Issues, 50 (3), 695–715
2016
-
[38]
Über formal unentscheidbare Sätze d er Principia Mathematica und verwandte Systeme I
Gödel, K. (1931). “Über formal unentscheidbare Sätze d er Principia Mathematica und verwandte Systeme I” with page-facing English translat ion, in “Kurt Gödel, Collected Works. Vol. I. Publications 1929–1936”, Feferma n S et al., (eds), Oxford University Press, New York, 1986....
1931
-
[39]
G., & May, R
Haldane, A. G., & May, R. M. (2011). Systemic risk in bank ing ecosystems. Nature, 469 (7330), 351–355
2011
-
[40]
Hayek, F. A. (1937). Economics and knowledge. Economica N.S. 4(13): 33-54
1937
-
[41]
Hayek, F. A. (1945). The Use of Knowledge in Society. The American Economic Review, 35 (4), 519–530
1945
-
[42]
Helbing, D., & Kirman, A. (2013). Rethinking economics using complexity theory. Real-World Economics Review, 64 . 40
2013
-
[43]
Hernández-Orozco, S., Hernández-Quiroz, F., & Zenil, H. (2018). Undecidability and irreducibility conditions for open-ended evolution an d emergence. Artificial Life, 24 (1), 56-70
2018
-
[44]
Hintikka, J. (1962). Knowledge and belief .Cornell University Press
1962
-
[45]
Huneman, P. (2012). Determinism, predictability and o pen-ended evolution: lessons from computational emergence. Synthese, 185 , 195-214
2012
-
[46]
James, W. (1890). The Principles Of Psychology Volume II
-
[47]
Kahneman, D., A. Tversky. (1973). On the Psychology of P rediction. Psychological Review, 80 : 237-251
1973
-
[48]
Kauffman, S. A. (1993). The origins of order: Self-organization and selection in evolution. Oxford University Press, USA
1993
-
[49]
Kauffman, S., & Roli, A. (2021). The world is not a theorem . Entropy, 23 (11), 1467
2021
-
[50]
The General Theory o f Employment,
Keynes, John Maynard [1937] 1973. “The General Theory o f Employment,” in Col- lected Writings, Vol. XIV, New York: St. Martin’s Press
1937
-
[51]
Kirzner, I. M. (1973). Competition and entrepreneurship. University of Chicago Press
1973
-
[52]
Kirzner, I. M. (1997). Entrepreneurial Discovery and t he Competitive Market Pro- cess: An Austrian Approach. Journal of Economic Literature, 26
1997
-
[53]
Knight, F. H. (1921). Risk, uncertainty and profit (Vol. 31). Houghton Mifflin
1921
-
[54]
Koppl, R., Kauffman, S., Felin, T., & Longo, G. (2015). Ec onomics for a creative world. Journal of Institutional Economics, 11 (1), 1–31
2015
-
[55]
Kripke, S. A. (1963). Semantical analysis of modal logi c I: Normal modal proposi- tional calculi. Mathematical Logic Quarterly, 9 (5-6), 67-96
1963
-
[56]
Kuhn, T. S. (1996). The structure of scientific revoluti ons (3rd ed). University of Chicago Press
1996
-
[57]
Kung, J.P.S., Rota, G.-C., Yan, C.H. 2009. Combinatorics: The Rota Way. Cam- bridge University Press, New York. 41
2009
-
[58]
Lachmann, L. M. (1976). From Mises to Shackle: An Essay o n Austrian Economics and the Kaleidic Society. Journal of Economic Literature, 14 (1), 54–62
1976
-
[59]
Lewis, A. A. (1985). On effectively computable realizat ions of choice functions. Mathematical Social Sciences, 10 (1), 43–80
1985
-
[60]
D., Strogatz, S
Loreto, V., Servedio, V. D., Strogatz, S. H., & Tria, F. ( 2016). Dynamics on ex- panding spaces: modeling the emergence of novelties. Creativity and universality in language, 59-83
2016
-
[61]
Mantel, R. (1974). On the Characterization of Aggregat e Excess Demand. Journal of Economic Theory 7 :348–53
1974
-
[62]
(1948 [1951])
Neumann, J von. (1948 [1951]). The general and logical t heory of automata. In: Cerebral mechanisms in behavior: the Hixon Symposium . John Wiley and Sons Inc, New York
1948
-
[63]
(1949 [1966])
Neumann, J von. (1949 [1966]). Theory of self-reproduc ing automata. In: Burks A W (ed), University of Illinois, Urbana
1949
-
[64]
Disruptive Scientific Change
Nickles, T. (2008). “Disruptive Scientific Change.” In Soler, L., Sankey, H., & Hoyningen-Huene, P. (Eds.), Rethinking Scientific Change and Theory Compari- son: Stabilities, Ruptures, Incommensurabilities? (Vol. 255). Springer Science & Business Media, (pp. 351-379)
2008
-
[65]
Peters, O. (2019). The ergodicity problem in economics . Nature Physics, 15 (12), 1216–1221
2019
-
[66]
Bib- liothèque de philosophie scientifique
Poincaré, H. (1920). Science et méthode. In Ed. Flammarion, E., Collection: “Bib- liothèque de philosophie scientifique”. Paris
1920
-
[67]
Post, E. L. (1944). Recursively enumerable sets of posi tive integers and their decision problems. Bulletin of the American Mathematical Society, 50 (5), 284-316
1944
-
[68]
Tarski, A. (1936). Der Wahrheitsbegriff in den formalis ierten Sprachen. Studia Philosophica, vol. 1, pp. 261-405
1936
-
[69]
Tarski, A., Mostowski, A., & Robinson, R. M. (Eds.).(19 53 [2010]). Undecidable theories. Dover Publications. 42
2010
-
[70]
E., Geiger, B
Rosas, F. E., Geiger, B. C., Luppi, A. I., Seth, A. K., Pola ni, D., Gast- par, M., & Mediano, P. A. M. (2024). Software in the natural wo rld: A com- putational approach to hierarchical emergence (No. arXiv: 2402.09090). arXiv. http://arxiv.org/abs/2402.09090
2024 arXiv
-
[71]
Rosser, B. (1936). Extensions of some theorems of Gödel a nd Church. Journal of Symbolic Logic, vol. 1, pp. 87-91
1936
-
[72]
Rizvi, S. A. T. (2006). The Sonnenschein-Mantel-Debre u Results after Thirty Years. History of Political Economy, 38 (Suppl 1), 228–245
2006
-
[73]
J., & Whitman, D
Rizzo, M. J., & Whitman, D. G. (2009). The knowledge prob lem of new paternalism. BYU L. Rev. , 905
2009
-
[74]
Ruiz-Mirazo, K., Umerez, J., & Moreno, A. (2007). Enabl ing conditions for ‘open- ended evolution.’ Biology & Philosophy, 23 (1), 67–85
2007
-
[75]
Samet, D. (1990). Ignoring ignorance and agreeing to di sagree. Journal of Economic Theory, 52 (1), 190-207
1990
-
[76]
Schütz, A. (1945). The homecomer. American Journal of S ociology, 50(5), 369-376
1945
-
[77]
Shackle, G. L. S. (2017 [1972]). Epistemics and economics: A critique of economic doctrines. Routledge
2017
-
[78]
Silberstein, M. (2002). Reduction, emergence and expl anation. The Blackwell guide to the philosophy of science , 80-107
2002
-
[79]
(2010 [1751])
Smith, A. (2010 [1751]). The theory of moral sentiments . Penguin
2010
-
[80]
Smith, V. L. (2003). Constructivist and Ecological Rat ionality in Economics. Amer- ican Economic Review, 93(3), 465–508
2003
-
[81]
Sonnenschein, H. (1973). Do Walras’ Identity and Conti nuity Characterize the Class of Community Excess Demand Functions? Journal of Economic Theory 6 :345–54
1973
-
[82]
Taylor, T. (1999). From artificial evolution to artifici al life. Ph. D. Dissertation. University of Edinburgh
1999
-
[83]
Taylor, T. (2015). Requirements for open-ended evolut ion in natural and artificial systems. arXiv preprint arXiv:1507.07403. 43
2015 arXiv
-
[84]
& Wiser, M
Taylor, T., Bedau, M., Channon, A., Ackley, D., Banzhaf, W ., Beslon, G., ... & Wiser, M. (2016). Open-ended evolution: Perspectives from the OEE workshop in York. Artificial life, 22 (3), 408-423
2016
-
[85]
Taylor, T. (2019). Evolutionary innovations and where to find them: Routes to open-ended evolution in natural and artificial systems. Artificial life, 25 (2), 207- 224
2019
-
[86]
M., & Gigerenzer, G
Todd, P. M., & Gigerenzer, G. (2007). Environments That Make Us Smart: Eco- logical Rationality. Current Directions in Psychological Science, 16 (3), 167–171
2007
-
[87]
C., & Doria, F
Tsuji, M., Da Costa, N. C., & Doria, F. A. (1998). The inco mpleteness of theories of games. Journal of Philosophical Logic, 27, 553-568
1998
-
[88]
Turing, A. M. (1937). Computability and λ-definability. The Journal of Symbolic Logic, 2 (4), 153-163
1937
-
[89]
Turing, A. (1939). Systems of logic based on ordinals. Proceedings of the London Mathematical Society 2( 45), 161-228
1939
-
[90]
1934 [2010]
Uexküll, Jakob von. 1934 [2010]. A Foray into the Worlds of Animals and Humans, with a theory of meaning, translated by Joseph D. O’Neil. Minneapolis and London: University of Minesota Press
1934
-
[91]
Velupillai, K. V. (2012). Computable foundations for economics . Routledge
2012
-
[92]
(1898, [1936])
Wicksell, Knut. (1898, [1936]). Interest and Prices , translated by Richard F. Kahn, Macmillan, London
1936
-
[93]
Wolfram, S. (2002). A new kind of science . Wolfram Media. 44
2002
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