Effective complexity is a measure of complexity defined in a 1996 paper by Murray Gell-Mann and Seth Lloyd that attempts to measure the amount of non-random information in a system.[1][2] It has been criticised as being dependent on the subjective decisions made as to which parts of the information in the system are to be discounted as random.[3]
^Gell-Mann, Murray; Lloyd, Seth (1996). "Information Measures, Effective Complexity, and Total Information". Complexity. 2 (1): 44–52. Bibcode:1996Cmplx...2a..44G. doi:10.1002/(SICI)1099-0526(199609/10)2:1<44::AID-CPLX10>3.0.CO;2-X.
^Ay, Nihat; Muller, Markus; Szkola, Arleta (2010). "Effective Complexity and Its Relation to Logical Depth". IEEE Transactions on Information Theory. 56 (9): 4593–4607. arXiv:0810.5663. doi:10.1109/TIT.2010.2053892. S2CID 2217934.
^McAllister, James W. (2003). "Effective Complexity as a Measure of Information Content". Philosophy of Science. 70 (2): 302–307. doi:10.1086/375469. S2CID 120267550.
and 24 Related for: Effective complexity information
Effectivecomplexity is a measure of complexity defined in a 1996 paper by Murray Gell-Mann and Seth Lloyd that attempts to measure the amount of non-random...
Complexity management is a business methodology that deals with the analysis and optimization of complexity in enterprises. Effectivecomplexity management...
concepts may be needed when approaching complexity: entropy, size, description length, effectivecomplexity, information, connectivity, irreducibility...
and applications Forecasting complexityEffectivecomplexity Kolmogorov complexity, a measure of algorithmic complexity Self-dissimilarity in information...
theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of a shortest computer...
Complexity characterises the behaviour of a system or model whose components interact in multiple ways and follow local rules, leading to non-linearity...
project for project management to be effective. Complexity can be: Structural complexity (also known as detail complexity, or complicatedness), i.e. consisting...
Atomic to Mesoscale: The Role of Quantum Coherence in Systems of Various Complexities. Institute for Theoretical, Atomic and Molecular and Optical Physics...
could be automated. The relation between the complexity classes P and NP is studied in computational complexity theory, the part of the theory of computation...
streamline genomes, the complexity of an organism increases by a process called constructive neutral evolution. Since the effective population size in eukaryotes...
Irreducible complexity (IC) is the argument that certain biological systems with multiple interacting parts would not function if one of the parts were...
systems in the context of complexity theory. In particular the notion of Murray Gell-Mann and Seth Lloyd's effectivecomplexity is cited. In this view both...
Lutz; Elvira Mayordomo (2007). "Effective strong dimension in algorithmic information and computational complexity". SIAM Journal on Computing. 37 (3):...
Cole Kleene and Andrzej Mostowski) classifies certain sets based on the complexity of formulas that define them. Any set that receives a classification is...
Systems thinking is a way of making sense of the complexity of the world by looking at it in terms of wholes and relationships rather than by splitting...
bureaucracy, work complexity and human capability over 60 years. Requisite organization is the system of business organization that aims for effective managerial...
Burt Nanus, to describe or to reflect on the volatility, uncertainty, complexity and ambiguity of general conditions and situations. The U.S. Army War...
for portrait, and 6x4 for landscape. Due to the increased freedom and complexity of the new home screen on iPad, this is just a rough listing of facts...
The effective population size (Ne) is size of an idealised population would experience the same rate of genetic drift or increase in inbreeding as in...
In computability theory and computational complexity theory, a decision problem is a computational problem that can be posed as a yes–no question of the...
which means the number and complexity of hypotheses, and parsimony (ontological simplicity), which is the number and complexity of things postulated. In...
In complexity theory and computability theory, an oracle machine is an abstract machine used to study decision problems. It can be visualized as a Turing...
required? Computational complexity Technology The required frequency response is an important parameter. The steepness and complexity of the response curve...
Global Information