Contemporary complexity theory has been instrumental in providing novel rigorous definitions for some classic philosophical concepts, including emergence. In an attempt to provide an account of emergence that is consistent with complexity and dynamical systems theory, several authors have turned to the notion of constraints on state transitions. Drawing on complexity theory directly, this paper builds on those accounts, further developing the constraint-based interpretation of emergence and arguing that such accounts recover many of the features of more traditional accounts. We (...) show that the constraint-based account of emergence also leads naturally into a meaningful definition of self-organization, another concept that has received increasing attention recently. Along the way, we distinguish between order and organization, two concepts which are frequently conflated. Finally, we consider possibilities for future research in the philosophy of complex systems, as well as applications of the distinctions made in this paper. (shrink)

Complex systems research is becoming ever more important in both the natural and social sciences. It is commonly implied that there is such a thing as a complex system, different examples of which are studied across many disciplines. However, there is no concise definition of a complex system, let alone a definition on which all scientists agree. We review various attempts to characterize a complex system, and consider a core set of features that are widely associated with complex systems in (...) the literature and by those in the field. We argue that some of these features are neither necessary nor sufficient for complexity, and that some of them are too vague or confused to be of any analytical use. In order to bring mathematical rigour to the issue we then review some standard measures of complexity from the scientific literature, and offer a taxonomy for them, before arguing that the one that best captures the qualitative notion of the order produced by complex systems is that of the Statistical Complexity. Finally, we offer our own list of necessary conditions as a characterization of complexity. These conditions are qualitative and may not be jointly sufficient for complexity. We close with some suggestions for future work. (shrink)

Crossing the road within the traffic system is an example of an action human agents perform successfully day-to-day in complex systems. How do they perform such successful actions given that the behaviour of complex systems is often difficult to predict? The contemporary literature contains two contrasting approaches to the epistemology of complex systems: an analytic and a post-modern approach. We argue that neither approach adequately accounts for how successful action is possible in complex systems. Agents regularly perform successful actions without (...) obeying (explicit or implicit) algorithmic rules (as the analytic approach suggests) and without an existential leap to action (as the post-modern approach suggests). We offer an alternative: A common-sense pragmatist epistemology, one that focuses on the kind of actions making up most agents’ successful moment-to-moment actions in complex systems. Successful actions obtain when agents apply ceteris paribus rules-of-thumb during predictive and decisional practices while achieving some desired goal. (shrink)

Complexity is heterogenous, involving nonlinearity, self-organisation, diversity, adaptive behaviour, among other things. It is therefore obviously worth asking whether purported measures of complexity measure aggregate phenomena, or individual aspects of complexity and if so which. This paper uses a recently developed rigorous framework for understanding complexity to answer this question about measurement. The approach is two-fold: find measures of individual aspects of complexity on the one hand, and explain measures of complexity on the other. We illustrate the conceptual framework of (...) complexity science and how it links the foundations to the practised science with examples from different scientific fields and of various aspects of complexity. Furthermore, we analyse a selection of purported measures of complexity that have found wide application and explain why and how they measure aspects of complexity. This work gives the reader a tool to take any existing measure of complexity and analyse it, and to take any feature of complexity and find the right measure for it. (shrink)

Although widely investigated and used in psychology, the concept of randomness is beset with philosophical and practical difficulties. In this paper, I propose a resolution to a long-standing problem in psychological research by arguing that the inability to comprehend and produce random behavior is not caused by a defect on the part of the observer but is a consequence of conceptual confusion. Randomness describes a state of high complexity which defies analysis and understanding. The well-known biases in predictive behavior are (...) not caused by the observers’ inability to comprehend randomness but reflect a natural pattern-seeking response to high-complexity situations. Further, I address the circularity at the heart of the randomness debate. Replacing randomness with complexity in psychology and cognitive science would eliminate many of the current problems associated with defining, investigating and using this elusive term. (shrink)

A central concern of the cognitive science of language since its origins has been the concept of the linguistic system. Recent approaches to the system concept in language point to the exceedingly complex relations that hold between many kinds of interdependent systems, but it can be difficult to know how to proceed when “everything is connected.” This paper offers a framework for tackling that challenge by identifying *scale* as a conceptual mooring for the interdisciplinary study of language systems. The paper (...) begins by defining the scale concept—simply, the possibility for a measure to be larger or smaller in different instances of a system, such as a phonemic inventory, a word's frequency value in a corpus, or a speaker population. We review sites of scale difference in and across linguistic subsystems, drawing on findings from linguistic typology, grammatical description, morphosyntactic theory, psycholinguistics, computational corpus work, and social network demography. We consider possible explanations for scaling differences and constraints in language. We then turn to the question of *dependencies between* sites of scale difference in language, reviewing four sample domains of scale dependency: in phonological systems, across levels of grammatical structure (Menzerath's Law), in corpora (Zipf's Law and related issues), and in speaker population size. Finally, we consider the implications of the review, including the utility of a scale framework for generating new questions and inspiring methodological innovations and interdisciplinary collaborations in cognitive-scientific research on language. (shrink)

In recent years, many philosophers of science have attempted to articulate a theory of non-epistemic emergence that is compatible with mechanistic explanation and incompatible with reductionism. The 2005 account of Fred C. Boogerd et al. has been particularly influential. They argued that a systemic property was emergent if it could not be predicted from the behaviour of less complex systems. Here, I argue that Boogerd et al.'s attempt to ground emergence in complexity guarantees that we will see emergence, but at (...) the cost of rendering it either trivial or epistemic. There are three basic problems. First, neither the measures of complexity explicitly mentioned by Boogerd et al. nor the most popular measures in the literature can do the practical and theoretical work that they assign to complexity. Second, I argue that while the success of their view depends on restricting the base of information available to the reductionist, this cannot be done in a way that is metaphysically neutral with respect to emer.. (shrink)

En el presente artículo se examinan los métodos de enseñanza-aprendizaje en la carrera dearquitectura (que entrañan procesos creativos complejos), apelando a experiencias mediadasy autorreguladas mediante el uso de morfologías como los fractales, los sistemas iterados, lamodelización de patrones, el crecimiento, la fragmentación y la transformación diacrónica yescalar, según los niveles de complejidad procesal. Esto supone un marco abierto de asimilacióndesde los planos de expresión espacial, material, funcional, estético y de habitabilidad dentro de uncontinuo proyectual, regido por el principio de las (...) formas puras, dictado fundamentalmente por laarquitectura moderna. Esto determina un nuevo y constante encuentro con el objeto morfológicoarquitectónico, que admite varias soluciones, variaciones e incluso inflexiones del mismo problema, de acuerdo a requerimientos y condiciones similares o cambiantes. Por todo lo anterior, se derivacomo objetivo, revisar, inicialmente, lo que debemos entender como complejidad, para luego definirciertos principios y niveles procedimentales, que actúan como meta-modelos, que se derivan delllamado Pensamiento Complejo, así como del Modelo MOSIG, y del diseño paramétrico actual enrelación con la enseñanza, especialmente los procesos creativos. En una tercera parte, se debe ofrecerun material de referencia de algunas experiencias de enseñanza basadas en este tipo de modelo. (shrink)

I will argue that deep moral enhancement is relatively prone to unexpected consequences. I first argue that even an apparently straightforward example of moral enhancement such as increasing human co-operation could plausibly lead to unexpected harmful effects. Secondly, I generalise the example and argue that technological intervention on individual moral traits will often lead to paradoxical effects on the group level. Thirdly, I contend that insofar as deep moral enhancement targets higher-order desires, it is prone to be self-reinforcing and irreversible. (...) Fourthly, I argue that the complex causal history of moral traits, with its relatively high frequency of contingencies, indicates their fragility. Finally, I conclude that attempts at deep moral enhancement pose greater risks than other enhancement technologies. For example, one of the major problems that moral enhancement is hoped to address is lack of co-operation between groups. If humanity developed and distributed a drug that dramatically increased co-operation between individuals, we would likely see a paradoxical decrease in co-operation between groups and a self-reinforcing increase in the disposition to engage in further modifications – both of which are potential problems. (shrink)

ABSTRACTLadyman and Ross’s account of the metaphysical component of ontic structural realism was associated with a unificationist view of the connection between fundamental physics and special sciences. The aim of the present article is to assess the sense of unification that is at issue in Ladyman and Ross’s definition of metaphysics. Given the ontic core of Ladyman and Ross’s version of structural realism, it should be assumed that the unifying endeavour is worthwhile only if the connective links that underpin unification (...) are metaphysically significant. Ladyman and Ross employed information-theoretic notions, e.g. ‘projectibility’, to account for the significance of real patterns, which underpin unification. I build upon McAllister’s engagements with the same topic, to argue that these notions fail to accomplish this objective. (shrink)

A popular goal in psychological science is to understand human cognition and behavior in the ‘real-world.’ In contrast, researchers have typically conducted their research in experimental research settings, a.k.a. the ‘psychologist’s laboratory.’ Critics have often questioned whether psychology’s laboratory experiments permit generalizable results. This is known as the ‘real-world or the lab’-dilemma. To bridge the gap between lab and life, many researchers have called for experiments with more ‘ecological validity’ to ensure that experiments more closely resemble and generalize to the (...) ‘real-world.’ However, researchers seldom explain what they mean with this term, nor how more ecological validity should be achieved. In our opinion, the popular concept of ecological validity is ill-formed, lacks specificity, and falls short of addressing the problem of generalizability. To move beyond the ‘real-world or the lab’-dilemma, we believe that researchers in psychological science should always specify the particular context of cognitive and behavioral functioning in which they are interested, instead of advocating that experiments should be more ‘ecologically valid’ in order to generalize to the ‘real-world.’ We believe this will be a more constructive way to uncover the context-specific and context-generic principles of cognition and behavior. (shrink)

Resumen Debido a la polisemia que la complejidad exhibe, se pretenden exponer las distintas posturas, definiciones, descripciones y debates acerca de esta, a la luz de lo descrito por Carlos Maldonado, Edgar Morin, Ilya Progogine, Murray Gell-Mann, Leonardo Rodríguez y Julio Aguirre, quienes comportan un principio dialógico y translúcido, que integraría la lógica clásica teniendo en cuenta sus límites de facto y de jure, que además llevaría en sí el principio de la Unitas Multiplex, que escapa a la unidad abstracta (...) por lo alto y por lo bajo. Luego de la presentación de las posturas de los autores mencionados se pasa a describir los encuentros y desencuentros que de estos aparecen sobre este concepto; y finalizar al proponer una definición y caracterización personal de la complejidad.Due to the polysemy of Complexity, it is intended to expose different postures, definitions, descriptions and debates about It, in the light of what was described by Carlos Maldonado, Edgar Morin, Ilya Prigogine, Murray Gell-Mann, Leonardo Rodríguez and Julio Aguirre. For them it implies a dialogical and translucent principle that would integrate classical logic considering its de facto and de jure limits, and that in addition would take in himself the principle of Unitas Multiplex that escapes to the abstract unity by the high and by the low. After the presentation of the positions of the mentioned authors the paper goes on to describe encounters and disagreements about this concept finally proposing a definition and characterization of complexity. (shrink)

When attempting to assess the strengths and weaknesses of various principles in their potential role of guiding the formulation of a theory of quantum gravity, it is crucial to distinguish between principles which are strongly supported by empirical data – either directly or indirectly – and principles which instead rely heavily on theoretical arguments for their justification. Principles in the latter category are not necessarily invalid, but their a priori foundational significance should be regarded with due caution. These remarks are (...) illustrated in terms of the current standard models of cosmology and particle physics, as well as their respective underlying theories, i.e., essentially general relativity and quantum theory. For instance, it is clear that both standard models are severely constrained by symmetry principles: an effective homogeneity and isotropy of the known universe on the largest scales in the case of cosmology and an underlying exact gauge symmetry of nuclear and electromagnetic interactions in the case of particle physics. However, in sharp contrast to the cosmological situation, where the relevant symmetry structure is more or less established directly on observational grounds, all known, nontrivial arguments for the “gauge principle” are purely theoretical. Similar remarks apply to the larger theoretical structures represented by general relativity and quantum theory, where – actual or potential – empirical principles, such as the equivalence principle or EPR-type nonlocality, should be clearly differentiated from theoretical ones, such as general covariance or renormalizability. It is argued that if history is to be of any guidance, the best chance to obtain the key structural features of a putative quantum gravity theory is by deducing them, in some form, from the appropriate empirical principles. Theoretical principles may still be useful however in formulating a concrete theory. It is subsequently argued that the appropriate empirical principles for deducing the key structural features of quantum gravity should at least include quantum nonlocality, irreducible indeterminacy, relativistic causality), the thermodynamic arrow of time, homogeneity and isotropy of the observable universe on the largest scales. In each case, it is explained – when appropriate – how the principle in question could be implemented mathematically in a theory of quantum gravity, why it is considered to be of fundamental significance and also why contemporary accounts of it are insufficient. For instance, the high degree of uniformity observed in the Cosmic Microwave Background is usually regarded as theoretically problematic because of the existence of particle horizons, whereas the currently popular attempts to resolve this situation in terms of inflationary models are, for a number of reasons, less than satisfactory. However, rather than trying to account for the required empirical features dynamically, an arguably much more fruitful approach consists in attempting to account for these features directly, in the form of a lawlike initial condition within a theory of quantum gravity. (shrink)