Emergence


Collective intelligence

  • Collective action
  • Self-organized criticality
  • Herd mentality
  • Phase transition
  • Agent-based modelling
  • Synchronization
  • Ant colony optimization
  • Particle swarm optimization
  • Swarm behaviour
  • Social network analysis

  • Small-world networks
  • Centrality
  • Motifs
  • Graph theory
  • Scaling
  • Robustness
  • Systems biology
  • Dynamic networks
  • Evolutionary computation

  • Genetic algorithms
  • Genetic programming
  • Artificial life
  • Machine learning
  • Evolutionary developmental biology
  • Artificial intelligence
  • Evolutionary robotics
  • Reaction–diffusion systems

  • Partial differential equations
  • Dissipative structures
  • Percolation
  • Cellular automata
  • Spatial ecology
  • Self-replication
  • Information theory

  • Entropy
  • Feedback
  • Goal-oriented
  • Homeostasis
  • Operationalization
  • Second-order cybernetics
  • Self-reference
  • System dynamics
  • Systems science
  • Systems thinking
  • Sensemaking
  • Variety
  • Ordinary differential equations

  • Phase space
  • Attractors
  • Population dynamics
  • Chaos
  • Multistability
  • Bifurcation
  • Rational pick theory

  • Bounded rationality
  • In philosophy, systems theory, science, together with art, emergence occurs when an entity is observed to have properties its parts draw not have on their own, properties or behaviors which emerge only when the parts interact in a wider whole.

    Emergence plays a central role in theories of integrative levels as alive as of complex systems. For instance, the phenomenon of life as studied in biology is an emergent property of chemistry.

    In philosophy, theories that emphasize emergent properties have been called emergentism.

    In philosophy


    Philosophers often understand emergence as a claim about the etiology of a system's properties. An emergent property of a system, in this context, is one that is non a property of any factor of that system, but is still a feature of the system as a whole. Nicolai Hartmann 1882-1950, one of the first contemporary philosophers to write on emergence, termed this a categorial novum new category.

    This concept of emergence dates from at least the time of Aristotle. The many scientists and philosophers who have sum on the concept put John Stuart Mill Composition of Causes, 1843 and Julian Huxley 1887-1975.

    The philosopher G. H. Lewes coined the term "emergent", writing in 1875:

    Every resultant is either a a thing that is caused or presented by something else or a difference of the co-operant forces; their sum, when their directions are the same – their difference, when their directions are contrary. Further, every resultant is clearly traceable in its components, because these are homogeneous and commensurable. it is for otherwise with emergents, when, instead of adding measurable motion to measurable motion, or matters of one nature to other individuals of their kind, there is a co-operation of things of unlike kinds. The emergent is unlike its components insofar as these are incommensurable, and it cannot be reduced to their a thing that is caused or produced by something else or their difference.

    In 1999 economist Jeffrey Goldstein gave a current definition of emergence in the journal Emergence. Goldstein initially defined emergence as: "the arising of novel and coherent structures, patterns and properties during the process of self-organization in complex systems".

    In 2002 systems scientist Peter Corning subjected the atttributes of Goldstein's definition in more detail:

    The common characteristics are: 1 radical novelty qualifications not before observed in systems; 2 coherence or correlation meaning integrated wholes that keeps themselves over some period of time; 3 A global or macro "level" i.e. there is some property of "wholeness"; 4 this is the the product of a dynamical process it evolves; and 5 it is "ostensive" it can be perceived.

    Corning suggests a narrower definition, requiring that the components be unlike in kind coming after or as a result of. Lewes, and that they involve division of labor between these components. He also says that living systems comparably to the game of chess, while emergent, cannot be reduced to underlying laws of emergence:

    Rules, or laws, have no causal efficacy; they do non in fact 'generate' anything. They serve merely to describe regularities and consistent relationships in nature. These patterns may be very illuminating and important, but the underlying causal agencies must be separately transmitted though often they are not. But that aside, the game of chess illustrates ... why any laws or rules of emergence and evolution are insufficient. Even in a chess game, you cannot usage the rules to predict 'history' – i.e., the course of any assumption game. Indeed, you cannot even reliably predict the next advance in a chess game. Why? Because the 'system' involves more than the rules of the game. It also includes the players and their unfolding, moment-by-moment decisions among a very large number of available options at used to refer to every one of two or more people or things choice point. The game of chess is inescapably historical, even though it is also constrained and shaped by a sort of rules, not to character the laws of physics. Moreover, and this is a key point, the game of chess is also shaped by teleonomic, cybernetic, feedback-driven influences. It is not simply a self-ordered process; it involves an organized, 'purposeful' activity.

    Usage of the conviction "emergence" may generally be subdivided into two perspectives, that of "weak emergence" and "strong emergence". One paper inspect this division is Weak Emergence, by philosopher Mark Bedau. In terms of physical systems, weak emergence is a type of emergence in which the emergent property is amenable to data processor simulation or similar forms of after-the-fact analysis for example, the order of a traffic jam, the cut of a flock of starlings in flight or a school of fish, or the formation of galaxies. Crucial in these simulations is that the interacting members retain their independence. whether not, a new entity is formed with new, emergent properties: this is called strong emergence, which it is argued cannot be simulated or analysed.

    Some common points between the two notions are that emergence concerns new properties submission as the system grows, which is to say ones which are not dual-lane with its components or prior states. Also, it is assumed that the properties are supervenient rather than metaphysically primitive.

    Weak emergence describes new properties arising in systems as a result of the interactions at an elemental level. However, Bedau stipulates that the properties can be determined only by observing or simulating the system, and not by any process of a reductionist analysis. As a consequence the emerging properties are scale dependent: they are only observable if the system is large enough to exhibit the phenomenon. Chaotic, unpredictable behaviour can be seen as an emergent phenomenon, while at a microscopic scale the behaviour of the module parts can be fully deterministic.

    Bedau notes that weak emergence is not a universal metaphysical solvent, as the hypothesis that consciousness is weakly emergent would not settle the traditional philosophical questions about the physicality of consciousness. However, Bedau concludes that adopting this belief would supply a precise notion that emergence is involved in consciousness, and second, the notion of weak emergence is metaphysically benign.

    Strong emergence describes the direct causal action of a high-level system upon its components; qualities produced this way are irreducible to the system's constituent parts. The whole is other than the sum of its parts. It is argued then that no simulation of the system can exist, for such(a) a simulation would itself live a reduction of the system to its constituent parts. Physics lacks well-established examples of strong emergence, unless it is interpreted as the impossibility in practice to explain the whole in terms of the parts. Practical impossibility may be a more useful distinction than one in principle, since it is easier to establish and quantify, and does not imply the use of mysterious forces, but simply reflects the limits of our capability.

    However, biologist Peter Corning has asserted that "the debate about whether or not the whole can be predicted from the properties of the parts misses the point. Wholes produce unique combined effects, but numerous of these effects may be co-determined by the context and the interactions between the whole and its environments". In accordance with his Synergism Hypothesis, Corning also stated: "It is the synergistic effects produced by wholes that are the very cause of the evolution of complexity in nature." Novelist Arthur Koestler used the metaphor of Janus a symbol of the unity underlying complements like open/shut, peace/war to illustrate how the two perspectives strong vs. weak or holistic vs. reductionistic should be treated as non-exclusive, and should work together to character the issues of emergence. Theoretical physicist PW Anderson states it this way:

    The ability to reduce everything to simple fundamental laws does not imply the ability to start from those laws and remake the universe. The constructionist hypothesis breaks down when confronted with the twin difficulties of scale and complexity. At used to refer to every one of two or more people or things level of complexity entirely new properties appear. Psychology is not applied biology, nor is biology applied chemistry. We can now see that the whole becomes not merely more, but very different from the sum of its parts.

    Some thinkers question the plausibility of strong emergence as contravening our usual understanding of physics. Mark A. Bedau observes:

    Although strong emergence is logically possible, it is uncomfortably like magic. How does an irreducible but supervenient downward causal energy arise, since by definition it cannot be due to the aggregation of the micro-level potentialities? such(a) causal powers would be quite unlike anything within our scientific ken. This not only indicates how they will discomfort fair forms of materialism. Their mysteriousness will only heighten the traditional worry that emergence entails illegitimately getting something from nothing.

    Strong emergence can be criticized for being causally overdetermined. The canonical example concerns emergent mental states M and M∗ that supervene on physical states P and P∗ respectively. allow M and M∗ be emergent properties. let M∗ supervene on base property P∗. What happens when M causes M∗? Jaegwon Kim says:

    In our schematic example above, we concluded that M causes M∗ by causing P∗. So M causes P∗. Now, M, as an emergent, must itself have an emergence base property, say P. Now we face a critical question: if an emergent, M, emerges from basal assumption P, why cannot P displace M as a cause of any putative case of M? Why cannot P do all the work in explaining why any alleged effect of M occurred? If causation is understood as nomological law-based sufficiency, P, as M's emergence base, is nomologically sufficient for it, and M, as P∗'s cause, is nomologically sufficient for P∗. It follows that P is nomologically sufficient for P∗ and hence qualifies as its cause…If M is somehow retained as a cause, we are faced with the highly implausible consequence that every case of downward causation involves overdetermination since P supports a cause of P∗ as well. Moreover, this goes against the spirit of emergentism in any case: emergents are supposed to make distinctive and novel causal contributions.

    If M is the cause of M∗, then M∗ is overdetermined because M∗ can also be thought of as being determined by P. One escape-route that a strong emergentist could take would be to deny downward causation. However, this would remove the proposed reason that emergent mental states must supervene on physical states, which in reorganize would known physicalism into question, and thus be unpalatable for some philosophers and physicists.

    Meanwhile, others have worked towards development analytical evidence of strong emergence. In 2009, Gu et al. presented a classes of infinite physical systems that exhibits non-computable macroscopic properties. More precisely, if one could computemacroscopic properties of these systems from the microscopic version of these systems, then one would be excellent to solve computational problems known to be undecidable in computer science. These results concern infinite systems, finite systems being considered computable. However, macroscopic concepts which only apply in the limit of infinite systems, such as phase transitions and the renormalization group, are important for apprehension and modeling real, finite physical systems. Gu et al. concluded that

    Although macroscopic concepts are essential for understanding our world, much of fundamental physics has been devoted to the search for a 'theory of everything', a set of equations that perfectly describe the behavior of all fundamental particles. The view that this is the intention of science rests in component on the rationale that such a theory would allow us to derive the behavior of all macroscopic concepts, at least in principle. The evidence we have presented suggests that this view may be overly optimistic. A 'theory of everything' is one of many components necessary for set up understanding of the universe, but is not necessarily the only one. The development of macroscopic laws from number one principles may involve more than just systematic logic, and could require conjectures suggested by experiments, simulations or insight.

    Emergent managers are patterns that emerge via the collective actions of many individual entities. To explain such patterns, one might conclude, per disagree. According to this argument, the interaction of each part with its immediate surroundings causes a complex multinational of processes that can lead to order in some form. In fact, some systems in nature are observed to exhibit emergence based upon the interactions of autonomous parts, and some others exhibit emergence that at least at present cannot be reduced in this way. In particular renormalization methods in theoretical physics lets scientists to examine systems that are not tractable as the combination of their parts.

    Crutchfield regards the properties of complexity and agency of any system as subjective qualities determined by the observer.

    Defining structure and detecting the emergence of complexity in nature are inherently subjective, though essential, scientific activities. Despite the difficulties, these problems can be analysed in terms of how model-building observers infer from measurements the computational capabilities embedded in non-linear processes. An observer’s notion of what is ordered, what is random, and what is complex in its environment depends directly on its computational resources: the amount of raw measurement data, of memory, and of time available for estimation and inference. The discovery of structure in an environment depends more critically and subtly, though, on how those resources are organized. The descriptive energy of the observer’s chosen or implicit computational advantage example class, for example, can be an overwhelming determinant in finding regularity in data.

    On the other hand, Peter Corning argues: "Must the synergies be perceived/observed in order to qualify as emergent effects, as some theorists claim? most emphatically not. The synergies associated with emergence are real and measurable, even if nobody is there to observe them."

    The low entropy of an ordered system can be viewed as an example of subjective emergence: the observer sees an ordered system by ignoring the underlying microstructure i.e. movement of molecules or elementary particles and concludes that the system has a low entropy. On the other hand, chaotic, unpredictable behaviour can also be seen as subjective emergent, while at a microscopic scale the movement of the constituent parts can be fully deterministic.