Emergence

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 not a property of any component of that system, but is still a feature of the system as a whole. Nicolai Hartmann (1882–1950), one of the first modern philosophers to write on emergence, termed this a categorial novum (new category). Definitions This concept of emergence dates from at least the time of Aristotle. In Heideggerian thought, the notion of emergence is derived from the Greek word poiein, meaning "to make", and refers to a bringing-forth that encompasses not just a process of crafting (techne) but also the broader sense of something coming into being or revealing itself. Heidegger used emerging blossoms and butterflies as examples to illustrate poiêsis as a threshold event where something moves from one state to another. Many scientists and philosophers have written on the concept, including John Stuart Mill (Composition of Causes, 1843) and Julian Huxley (1887–1975). The philosopher G. H. Lewes coined the term "emergent" in 1875, distinguishing it from the merely "resultant": Every resultant is either a sum 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 otherwise with emergents, when, instead of adding measurable motion to measurable motion, or things of one kind 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 sum or their difference. Strong and weak emergence Usage of the notion "emergence" may generally be subdivided into two perspectives, that of "weak emergence" and "strong emergence". One paper discussing 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 computer simulation or similar forms of after-the-fact analysis (for example, the formation of a traffic jam, the structure 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. If not, a new entity is formed with new, emergent properties: this is called strong emergence, which it is argued cannot be simulated, analysed or reduced. David Chalmers writes that emergence often causes confusion in philosophy and science due to a failure to demarcate strong and weak emergence, which are "quite different concepts". Some common points between the two notions are that emergence concerns new properties produced as the system grows, which is to say ones which are not shared 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 a fundamental 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 constituent 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 resolve the traditional philosophical questions about the physicality of consciousness. However, Bedau concludes that adopting this view would provide 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 on 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 simulation would itself constitute 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 determine and quantify, and does not imply the use of mysterious forces, but simply reflects the limits of our capability. Viability of strong emergence One of the reasons for the importance of distinguishing these two concepts with respect to their difference concerns the relationship of purported emergent properties to science. Some thinkers question the plausibility of strong emergence as contravening our usual understanding of physics. Mark A. Bedau observes: The concern that strong emergence does so entail is that such a consequence must be incompatible with metaphysical principles such as the principle of sufficient reason or the Latin dictum ex nihilo nihil fit, often translated as "nothing comes from nothing". Strong emergence can be criticized for leading to causal overdetermination. The canonical example concerns emergent mental states (M and M∗) that supervene on physical states (P and P∗) respectively. Let M and M∗ be emergent properties. Let M∗ supervene on base property P∗. What happens when M causes M∗? Jaegwon Kim says: 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 turn would call physicalism into question, and thus be unpalatable for some philosophers and physicists. Carroll and Parola propose a taxonomy that classifies emergent phenomena by how the macro-description relates to the underlying micro-dynamics. ; Type‑0 (Featureless) Emergence: : A coarse-graining map Φ from a micro state space A to a macro state space B that commutes with time evolution, without requiring any further decomposition into subsystems. ; Type‑1 (Local) Emergence: : Emergence where the macro theory is defined in terms of localized collections of micro-subsystems. This category is subdivided into: :: Type‑1a (Direct) Emergence: When the emergence map Φ is algorithmically simple (i.e. compressible), so that the macro behavior is easily deduced from the micro-states. :: Type‑1b (Incompressible) Emergence: When Φ is algorithmically complex (i.e. incompressible), making the macro behavior appear more novel despite being determined by the micro-dynamics. ; Type‑2 (Nonlocal) Emergence: : Cases in which both the micro and macro theories admit subsystem decompositions, yet the macro entities are defined nonlocally with respect to the micro-structure, meaning that macro behavior depends on widely distributed micro information. ; Type‑3 (Augmented) Emergence: : A form of strong emergence in which the macro theory introduces additional ontological variables that do not supervene on the micro-states, thereby positing genuinely novel macro-level entities. Objective or subjective quality Crutchfield regards the properties of complexity and organization 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 power of the observer's chosen (or implicit) computational model class, for example, can be an overwhelming determinant in finding regularity in data. 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. ==In science==

In physics, weak emergence is used to describe a property, law, or phenomenon which occurs at macroscopic scales (in space or time) but not at microscopic scales, despite the fact that a macroscopic system can be viewed as a very large ensemble of microscopic systems. An emergent behavior of a physical system is a qualitative property that can only occur in the limit that the number of microscopic constituents tends to infinity. According to Robert Laughlin, for many-particle systems, nothing can be calculated exactly from the microscopic equations, and macroscopic systems are characterised by broken symmetry: the symmetry present in the microscopic equations is not present in the macroscopic system, due to phase transitions. As a result, these macroscopic systems are described in their own terminology, and have properties that do not depend on many microscopic details. 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 address the issues of emergence. Theoretical physicist Philip W. Anderson states it this way: Meanwhile, others have worked towards developing analytical evidence of strong emergence. Renormalization methods in theoretical physics enable physicists to study critical phenomena that are not tractable as the combination of their parts. In 2009, Gu et al. presented a class of infinite physical systems that exhibits non-computable macroscopic properties. More precisely, if one could compute certain macroscopic properties of these systems from the microscopic description of these systems, then one would be able 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 understanding and modeling real, finite physical systems. Gu et al. concluded that ==In humanity==

Human beings are the basic elements of social systems, which perpetually interact and create, maintain, or untangle mutual social bonds. Social bonds in social systems are perpetually changing in the sense of the ongoing reconfiguration of their structure. An early argument (1904–05) for the emergence of social formations can be found in Max Weber's most famous work, The Protestant Ethic and the Spirit of Capitalism. Recently, the emergence of a new social system is linked with the emergence of order from nonlinear relationships among multiple interacting units, where multiple interacting units are individual thoughts, consciousness, and actions. In the case of the global economic system, under capitalism, growth, accumulation and innovation can be considered emergent processes where not only does technological processes sustain growth, but growth becomes the source of further innovations in a recursive, self-expanding spiral. In this sense, the exponential trend of the growth curve reveals the presence of a long-term positive feedback among growth, accumulation, and innovation; and the emergence of new structures and institutions connected to the multi-scale process of growth. This is reflected in the work of Karl Polanyi, who traces the process by which labor and nature are converted into commodities in the passage from an economic system based on agriculture to one based on industry. This shift, along with the idea of the self-regulating market, set the stage not only for another economy but also for another society. The principle of emergence is also brought forth when thinking about alternatives to the current economic system based on growth facing social and ecological limits. Both degrowth and social ecological economics have argued in favor of a co-evolutionary perspective for theorizing about transformations that overcome the dependence of human wellbeing on economic growth. Economic trends and patterns which emerge are studied intensively by economists. Within the field of group facilitation and organization development, there have been a number of new group processes that are designed to maximize emergence and self-organization, by offering a minimal set of effective initial conditions. Examples of these processes include SEED-SCALE, appreciative inquiry, Future Search, the world cafe or knowledge cafe, Open Space Technology, and others (Holman, 2010). In international development, concepts of emergence have been used within a theory of social change termed SEED-SCALE to show how standard principles interact to bring forward socio-economic development fitted to cultural values, community economics, and natural environment (local solutions emerging from the larger socio-econo-biosphere). These principles can be implemented utilizing a sequence of standardized tasks that self-assemble in individually specific ways utilizing recursive evaluative criteria. Looking at emergence in the context of social and systems change, invites us to reframe our thinking on parts and wholes and their interrelation. Unlike machines, living systems at all levels of recursion - be it a sentient body, a tree, a family, an organisation, the education system, the economy, the health system, the political system etc - are continuously creating themselves. They are continually growing and changing along with their surrounding elements, and therefore are more than the sum of their parts. As Peter Senge and co-authors put forward in the book Presence: Exploring profound change in People, Organizations and Society, "as long as our thinking is governed by habit - notably industrial, "machine age" concepts such as control, predictability, standardization, and "faster is better" - we will continue to recreate institutions as they have been, despite their disharmony with the larger world, and the need for all living systems to evolve." While change is predictably constant, it is unpredictable in direction and often occurs at second and nth orders of systemic relationality. Understanding emergence and what creates the conditions for different forms of emergence to occur, either insidious or nourishing vitality, is essential in the search for deep transformations. The works of Nora Bateson and her colleagues at the International Bateson Institute delve into this. Since 2012, they have been researching questions such as what makes a living system ready to change? Can unforeseen ready-ness for change be nourished? Here being ready is not thought of as being prepared, but rather as nourishing the flexibility we do not yet know will be needed. These inquiries challenge the common view that a theory of change is produced from an identified preferred goal or outcome. As explained in their paper An essay on ready-ing: Tending the prelude to change: Having hosted hundreds of Warm Data processes with thousands of participants, they have found that these spaces of shared poly-learning across contexts lead to a realm of potential change, a necessarily obscured zone of wild interaction of unseen, unsaid, unknown flexibility. This practice nourishes transformation at the inner-being level, which enables new ways of being, seeing and relating to emerge. The concept of emergence has also been employed in the field of facilitation. In Emergent Strategy, adrienne maree brown defines emergent strategies as "ways for humans to practice complexity and grow the future through relatively simple interactions". In linguistics, the concept of emergence has been applied in the domain of stylometry to explain the interrelation between the syntactical structures of the text and the author style (Slautina, Marusenko, 2014). It has also been argued that the structure and regularity of language grammar, or at least language change, is an emergent phenomenon. While each speaker merely tries to reach their own communicative goals, they use language in a particular way. If enough speakers behave in that way, language is changed. In a wider sense, the norms of a language, i.e. the linguistic conventions of its speech society, can be seen as a system emerging from long-time participation in communicative problem-solving in various social circumstances. ==In technology==

The bulk conductive response of binary (RC) electrical networks with random arrangements, known as the universal dielectric response (UDR), can be seen as emergent properties of such physical systems. Such arrangements can be used as simple physical prototypes for deriving mathematical formulae for the emergent responses of complex systems. Internet traffic can also exhibit some seemingly emergent properties. In the congestion control mechanism, TCP flows can become globally synchronized at bottlenecks, simultaneously increasing and then decreasing throughput in coordination. Congestion, widely regarded as a nuisance, is possibly an emergent property of the spreading of bottlenecks across a network in high traffic flows which can be considered as a phase transition. Some artificially intelligent (AI) computer applications simulate emergent behavior. One example is Boids, which mimics the swarming behavior of birds. ==In religion and art==

In religion, emergence grounds expressions of religious naturalism and syntheism in which a sense of the sacred is perceived in the workings of entirely naturalistic processes by which more complex forms arise or evolve from simpler forms. Examples are detailed in The Sacred Emergence of Nature by Ursula Goodenough & Terrence Deacon and Beyond Reductionism: Reinventing the Sacred by Stuart Kauffman, both from 2006, as well as Syntheism – Creating God in The Internet Age by Alexander Bard & Jan Söderqvist from 2014 and Emergentism: A Religion of Complexity for the Metamodern World by Brendan Graham Dempsey (2022). Michael J. Pearce has used emergence to describe the experience of works of art in relation to contemporary neuroscience. Practicing artist Leonel Moura, in turn, attributes to his "artbots" a real, if nonetheless rudimentary, creativity based on emergent principles. == In daily life and nature==

Objects consist of components with properties differing from the object itself. We call these properties emergent because they did not exist at the component level. The same applies to artifacts (structures, devices, tools, and even works of art). They are created for a specific purpose and are therefore subjectively emergent: someone who doesn't understand the purpose can't use it. The artifact is the result of an invention: through a clever combination of components, something new is created with emergent properties and functionalities. This invention is often difficult to predict and therefore usually based on a chance discovery. An invention based on discovery is often improved through a feedback loop, making it more applicable. This is an example of downward causation. Example 1: A hammer is a combination of a head and a handle, each with different properties. By cleverly connecting them, the hammer becomes an artifact with new, emergent functionalities. Through downward causation, you can improve the head and handle components in such a way that the hammer's functionality increases. Example 2: A mixture of tin and copper produces the alloy bronze, with new, emergent properties (hardness, lower melting temperature). Finding the correct ratio of tin to copper is an example of downward causation. Example 3: Finding the right combination of chemicals to create a superconductor at high temperatures (i.e room temperature) is a great challenge for many scientists, where chance plays a significant role. Conversely, however, the properties of all these invented artifacts can be readily explained reductionistically. Something similar occurs in nature: random mutations in genes rarely create a creature with new, emergent properties, increasing its chances of survival in a changing ecosystem. This is how evolution works. Here too, through downward causation, new creatures can sometimes manipulate their ecosystem in such a way that their chances of survival are further increased. In both artifacts and living beings, certain components can be crucial to the emergent end result: the end result supervenes on these components. Examples include: a construction error, a bug in a software program, an error in the genetic code, or the absence of a particular gene. Both aspects: supervenience and the unpredictability of the emergent result are characteristic of strong emergence (see above). (This definition, however, differs significantly from the definition in philosophical literature). == Notable philosophers and scientists ==

Emergence has been significantly shaped and debated by numerous philosophers and scientists over the years == See also ==