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Evolution And Consciousness: Human Systems In Transition

Reading, Mass.: Reading Ma: Addison-Wesley (1976)

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  1. Two dynamic criteria for validating claims of optimality.Geoffrey F. Miller - 1991 - Behavioral and Brain Sciences 14 (2):228-229.
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  • The infinite regress of optimization.Philippe Mongin - 1991 - Behavioral and Brain Sciences 14 (2):229-230.
    A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.
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  • Should the quest for optimality worry us?Nils-Eric Sahlin - 1991 - Behavioral and Brain Sciences 14 (2):231-231.
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  • Why optimality is not worth arguing about.Stephen E. G. Lea - 1991 - Behavioral and Brain Sciences 14 (2):225-225.
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  • The example of psychology: Optimism, not optimality.Daniel S. Levine - 1991 - Behavioral and Brain Sciences 14 (2):225-226.
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  • The Genesis of Complexity.Ralph H. Abraham - 2011 - World Futures 67 (4-5):380 - 394.
    The theories of complexity comprise a system of great breadth. But what is included under this umbrella? Here we attempt a portrait of complexity theory, seen through the lens of complexity theory itself. That is, we portray the subject as an evolving complex dynamical system, or social network, with bifurcations, emergent properties, and so on. This is a capsule history covering the twentieth century. Extensive background data may be seen at www.visual-chaos.org/complexity.
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  • Mind Stuffed with Red Herrings: Why William James’ Critique of the Mind-Stuff Theory Does not Substantiate a Combination Problem for Panpsychism. [REVIEW]Itay Shani - 2010 - Acta Analytica 25 (4):413-434.
    There is a famous passage in chapter six of James’ Principles of Psychology whose import, many believe, deals a devastating blow to the explanatory aspirations of panpsychism. In the present paper I take a close look at James’ argument, as well as at the claim that it underlies a powerful critique of panpsychism. Apart from the fact that the argument was never aimed at panpsychism as such, I show that it rests on highly problematic assumptions which, if followed to their (...)
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  • The strategy of optimality revisited.Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):237-245.
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  • Is economics still immersed in the old concepts of the Enlightenment era?Andrzej P. Wierzbicki - 1991 - Behavioral and Brain Sciences 14 (2):236-237.
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  • Extremum descriptions, process laws and minimality heuristics.Elliott Sober - 1991 - Behavioral and Brain Sciences 14 (2):232-233.
    The examples and concepts that Shoemaker cites are rather heterogeneous. Some distinctions need to be drawn. An optimality thesis involves not just an ordering of options, but a value judgment about them. So let us begin by distinguishing minimality from optimality. And the concept of minimality can play a variety of roles, among which I distinguish between extremum descriptions, statements hypothesizing an optimizing process, and methodological recommendations. Finally, I consider how the three categories relate to Shoemaker’s question that “Who is (...)
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  • Vaulting optimality.Peter Dayan & Jon Oberlander - 1991 - Behavioral and Brain Sciences 14 (2):221-222.
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  • Deconstructing Reality.Roland Fischer - 1985 - Diogenes 33 (129):47-62.
    The word “real” (from the Latin “res” = thing) was coined in the 13th century to signify “having Properties” (Pierce. 1958, p. 358), whereas a “model” refers to an analogical representation, the structure of which should correspond to the structure or properties of that which it represents. For Scudder the mind is a system of models and each mind develops different models. We all have a different reality in mind and so we each live in a slightly different world (Scudder, (...)
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  • Natural selection doesn't have goals, but it's the reason organisms do.Martin Daly - 1991 - Behavioral and Brain Sciences 14 (2):219-220.
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  • Towards a General Theory of Reduction. Part III: Cross-Categorical Reduction.C. A. Hooker - 1981 - Dialogue 20 (3):496-529.
    Any theory of reduction that goes only so far as carried in Parts I and II does only half the job. Prima facie at least, there are cases of would-be reduction which seem torn between two conflicting intuitions. On the one side there is a strong intuition that reduction is involved, and a strongly retentive reduction at that. On the other side it seems that the concepts at one level cross-classify those at the other level, so that there is no (...)
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  • Time-space-Technics: The evolution of societal systems and World-views.Alastair Taylor - 1999 - World Futures 54 (1):21-102.
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  • Optimal confusion.Stephanie Stolarz-Fantino & Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (2):234-234.
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  • Some optimality principles in evolution.James F. Crow - 1991 - Behavioral and Brain Sciences 14 (2):218-219.
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  • The quest for optimality: A positive heuristic of science?Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):205-215.
    This paper examines the strengths and weaknesses of one of science's most pervasive and flexible metaprinciples;optimalityis used to explain utility maximization in economics, least effort principles in physics, entropy in chemistry, and survival of the fittest in biology. Fermat's principle of least time involves both teleological and causal considerations, two distinct modes of explanation resting on poorly understood psychological primitives. The rationality heuristic in economics provides an example from social science of the potential biases arising from the extreme flexibility of (...)
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  • The Starry Night Sky.Guy Burneko - 2013 - World Futures 69 (4-6):231 - 247.
    (2013). The Starry Night Sky. World Futures: Vol. 69, The Complexity of Life and Lives of Complexity, pp. 231-247.
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  • Ecosystems and society: Implications for sustainable development.Hartmut Bossel - 1996 - World Futures 47 (2):143-213.
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  • Evolutionary learning for a post-industrial society: Knowledge, creativity & social ecology.Alfonso Montuori - 1993 - World Futures 36 (2):181-202.
    (1993). Evolutionary learning for a post‐industrial society: Knowledge, creativity & social ecology. World Futures: Vol. 36, Evolutionary Consciousness, pp. 181-202.
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  • Resistance to a dynamic world view.Singa Sandelin Benko - 1991 - World Futures 30 (4):211-219.
    The fact that people think is taken for granted. How we go about the thinking process is seldom reflected upon by the individual. In order to be able to grasp complex phenomena, and changing and interdependent relationships students participating in a systems course are required to become aware of their way of performing the thinking process. In discussions with them and based on ?soft analysis? it seems that there is resistance to a dynamic, multilevelled thinking process due to habits acquired (...)
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  • Complexity and optimality.Dauglas A. Miller & Steven W. Zucker - 1991 - Behavioral and Brain Sciences 14 (2):227-228.
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  • Embodying Evolutionary Vision: An Action-Based Experiment in Non-Dual Perception.Felicia A. Norton & Charles H. Smith - 2011 - World Futures 67 (3):201 - 212.
    This article suggests that ?evolutionary vision,? the unifying paradigm of physical, biological, and sociocultural evolution, needs to be fully embodied and deeply experienced in the human being, and that this can be effected by the experience at the heart of the ?perennial wisdom tradition,? 1 that is, that of ?non-dual perception.? The article suggests an ?action-based? experiment paralleling the method of a ?thought experiment,? based on the assumption that one way that one can experience this embodiment is by ?trying on? (...)
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  • The characteristics and acquisition of evolutionary competence.Bela Banathy - 1987 - World Futures 23 (1):123-144.
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  • The quest for plausibility: A negative heuristic for science?R. W. Byrne - 1991 - Behavioral and Brain Sciences 14 (2):217-218.
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  • Optimality as a mathematical rhetoric for zeroes.Fred L. Bookstein - 1991 - Behavioral and Brain Sciences 14 (2):216-217.
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  • Optimality and constraint.David A. Helweg & Herbert L. Roitblat - 1991 - Behavioral and Brain Sciences 14 (2):222-223.
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  • Rational agents, real people and the quest for optimality.Eldar Shafir - 1991 - Behavioral and Brain Sciences 14 (2):232-232.
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  • Avoid the push-pull dilemma in explanation.Kenneth M. Steele - 1991 - Behavioral and Brain Sciences 14 (2):233-234.
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  • Natural science, social science and optimality.Oleg Larichev - 1991 - Behavioral and Brain Sciences 14 (2):224-225.
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  • Straining the word “optimal”.James E. Mazur - 1991 - Behavioral and Brain Sciences 14 (2):227-227.
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  • Criteria for optimality.Michel Cabanac - 1991 - Behavioral and Brain Sciences 14 (2):218-218.
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  • Creativity, chaos, and self‐renewal in human systems.Alfonso Montuori - 1992 - World Futures 35 (4):193-209.
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  • Don't just sit there, optimise something.J. H. P. Paelinck - 1991 - Behavioral and Brain Sciences 14 (2):230-230.
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  • The human being as a bumbling optimalist: A psychologist's viewpoint.Masanao Toda - 1991 - Behavioral and Brain Sciences 14 (2):235-235.
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  • Types of optimality: Who is the steersman?Michael E. Hyland - 1991 - Behavioral and Brain Sciences 14 (2):223-224.
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  • Organisms, scientists and optimality.Michael Davison - 1991 - Behavioral and Brain Sciences 14 (2):220-221.
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  • Optimality as an evaluative standard in the study of decision-making.Jonathan Baron - 1991 - Behavioral and Brain Sciences 14 (2):216-216.
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  • Optimality as a prescriptive tool.Alexander H. G. Rinnooy Kan - 1991 - Behavioral and Brain Sciences 14 (2):230-231.
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  • Optimality and human memory.John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (2):215-216.
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