Online research in philosophy

A wide range of ecological and evolutionary models predict variety in phenotype or behavior when a population is at equilibrium. This heterogeneity can be realized in different ways. For example, it can be realized through a complex population of individuals exhibiting different simple behaviors, or through a simple population of individuals exhibiting complex, varying behaviors. In some theoretical frameworks these different realizations are treated as equivalent, but natural selection distinguishes between these two alternatives in subtle ways. By investigating an increasingly complex series of models, from a simple fluctuating selection model up to a finite population hawk/dove game, we explore the selective pressures which discriminate between pure strategists, mixed at the population level, and individual mixed strategists. Our analysis reveals some important limitations to the ESS framework often employed to investigate the evolution of complex behavior.

Does biology have general laws that apply to all levels of biological organisation, across all evolutionary time? In their book “Biology’s first law: the tendency for diversity and complexity to increase in evolutionary systems” (2010), Daniel McShea and Robert Brandon propose that the most fundamental law of biology is that all levels of biological organisation have an underlying tendency to become more complex and diverse over time. A range of processes, most notably selection, can prevent the expression of this tendency, but they predict that, on average, we should see that lineages tend toward greater diversity and complexity, driven by fundamentally neutral processes. Their hypothesis can be summarised as “diversity is easy, stasis is hard”. Here, I consider evidence for this “zero force evolutionary law”. It provides a fair description of evolutionary change at the genomic level, but the predictions of the proposed law are not met for broad scale patterns in the evolution of the animal kingdom.

Atoms, molecules, organisms distinguish layers of reality because of the causal links that govern their behavior, both horizontally (atom-atom, molecule-molecule, organism-organism) and vertically (atom-molecule-organism). This is the first intuition of the theory of levels. Even if the further development of the theory will require imposing a number of qualifications to this initial intuition, the idea of a series of entities organized on different levels of complexity will prove correct. Living systems as well as social systems and the human mind present features remarkably different from those characterizing non-living, simple physical and chemical systems. We propose that super-complexity requires at least four different categorical frameworks, provided by the theories of levels of reality, chronotopoids, (generalized) interactions, and anticipation.

Dictionary-making is an increasingly important avenue for cultural preservation and maintenance for Aboriginal people. It is also one of the main jobs performed by linguists working in Aboriginal communities. However, current tools for making dicitionaries are either not specifically designed for the purpose (Word, Nisus), with the result that dictionaries written in them are difficult to maintain, to keep consistent, and to manipulate automatically, or are too complex for many people to use (Shoebox), and are thereby wasted as potential resources. Moreover, neither of these sets of tools provides a suitable user interface for people who simply want to browse or find words in a dictionary. We set out to design a dictionary 'template', written in software that was easy (and fun!) for people to use, and that maintained a consistent relationship among the information in the dictionary.

The philosophical consequences of synergetics, the interdisciplinary theory of evolution and self-organization of complex systems, are being drawn in the paper. The idea of discreteness of evolutionary paths is in the focus of attention. Although the future is open, and there are many alternative evolutionary paths for complex systems, not any arbitrary (either conceivable or desirable) evolutionary path is feasible in a given system. There are discrete spectra of possible evolutionary paths which are determined exclusively by inner properties of the corresponding systems. Synergetics allows us to reveal general laws of self-organization and, therefore, certain limits of arbitrariness of nature in choosing possible paths of evolution as well as in constructing of a complex evolutionary whole. A comparative analysis between the modern synergetic notions and a few ideas of the Western philosophy (F. Nietzsche, N. Hartmann, M. Heidegger) and of the Eastern teachings (Taoism, Buddhism) is made.

A three-variable biochemical prototype involving two enzymes with autocatalytic regulation proposed by Decroly and Goldbeter (1987) is analyzed using a topological approach. A two-branched manifold, a so-called template, is thus identified. For certain control parameter values, this template is a horseshoe template with a global torsion of two half-turns. This implies that the bifurcation diagram can be described using the usual sequences associated with a unimodal map with a differentiable maximum as well as exemplified by the logistic map. Moreover, a type-I intermittency associated with a saddle-node bifurcation is exhibited. The dynamics from a single time series are also investigated to determine whether it is possible to investigate the dynamics of this biochemical model from the measure of a single concentration.

Professionals often find themselves in ethical dilemmas and seek the advice of their peers. This article offers a template for those who wish to assist their colleagues in these situations. After making various assumptions, the author lists questions to ask oneself before accepting such requests. Then, a step-by-step framework is offered, followed by recommendations.

Understanding how look-ahead search and pattern recognition interact is one of the important research questions in the study of expert problem solving. This paper examines the implications of the template theory Gobet & Simon, 1996a , a recent theory of expert memory, on the theory of problem solving in chess. Templates are chunks Chase & Simon, 1973 that have evolved into more complex data structures and that possess slots allowing values to be encoded rapidly. Templates may facilitate search in three ways: a by allowing information to be stored into LTM rapidly; b by allowing a search in the template space in addition to a search in the move space; and c by compensating loss in the minds eye due to interference and decay. A computer model implementing the main ideas of the theory is presented, and simulations of its search behaviour are discussed. The template theory accounts for the slight skill difference in average depth of search found in chess players, as well as for other empirical data.

The integral consciousness -- The internal universe -- The evolution of consciousness -- The within of things -- The systemic nature of evolution -- Stages of consciousness and culture -- The spiral of development -- Tribal consciousness -- Warrior consciousness -- Traditional consciousness -- Modernist consciousness -- Postmodern consciousness -- The spiral as a whole -- What is the real evidence for the spiral? -- The integral stage of consciousness -- Life conditions for integral consciousness -- The values of integral consciousness -- Integral consciousness in the context of history -- Practicing the integral lifestylevalue metabolism -- Postintegral consciousness -- Integral politics -- The politics of the spiral -- Integral politics and global governance -- Is global governance an unrealistic fantasy? -- Is global governance too dangerouswhat are the safeguards? -- Global governance and integral consciousness cocreate each other -- Integral spirituality -- The development of spiritual traditions -- Public spirituality in the integral age -- Beauty, truth, and goodnessphilosophical spirituality -- The practice of beauty, truth, and goodness -- The revelation of evolution -- The founders of integral philosophy -- Ken Wilber in context -- The evolution of philosophy as a human endeavor -- Hegel, the first integral philosopher -- Bergson, the first post-darwinian integral philosopher -- Whitehead, spiritual philosopher for the ages -- Teilhard de Chardin, master of the internal universe -- Gebser, prophet of integral consciousness -- Developmental psychology and the mapping of the internal universe -- Habermas, architect of integral foundations -- Wilber, framer of integral philosophys twenty-first-century synthesis -- What I add to integral philosophy -- The integral reality frame -- Metaphysics and the evolution of reality frames -- The integral map of reality -- Integral philosophy and human spirituality -- Some critiques of the integral reality frame -- Structures of the human mind -- Lines of development recognized by psychologists -- Wilber's theory of the lines of development -- A critique of Wilber's theory of developmental lines -- An alternative theory of the structures of consciousness -- The self as a whole -- The directions of evolution -- Evolution and the idea of progress -- Unity, complexity, and consciousness -- Directions of evolution in the internal universe -- The dialectical quality of the master patterns of evolution -- Potential applications of a dialectical understanding of evolution.

Artificial life uses computer models to study the essential nature of the characteristic processes of complex adaptive systems proceses such as self-organization, adaptation, and evolution. Work in the field is guided by the working hypothesis that simple computer models can capture the essential nature of these processes. This hypothesis is illustrated by recent results with a simple population of computational agents whose sensorimotor functionality undergo open-ended adaptive evolution. These might illuminate three aspects of complex adaptive systems in general: punctuated equilibrium dynamics of diversity, a transition separating genetic order and disorder, and a law of adaptive evolutionary activity.