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  1. A Twentieth Century Renaissance? The Price and Promise of Cultural Change.Robert Artigiani - 1993 - Diogenes 41 (163):89-112.
    European intellectuals diagnosed the end of the nineteenth century as “the sickness of an age.” Schopenhauer's pessimistic books suddenly became popular; Nietzsche announced the “death of god”; and Max Nordeau's Degeneration was an international best seller. To be sure, this mood of despair was initially limited to a handful of poets and philosophers. But once the outbreak of World War I revealed what “the treacherous years were all the while making for and meaning,” the sense that the West had somehow (...)
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  • A two-dimensional array of models of cognitive function.Gardner C. Quarton - 1988 - Behavioral and Brain Sciences 11 (1):48-48.
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  • Culture and the evolution of learning.H. Ronald Pulliam - 1981 - Behavioral and Brain Sciences 4 (2):247-248.
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  • Contingency-governed science.Robert R. Provine - 1984 - Behavioral and Brain Sciences 7 (4):494-495.
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  • Subsymbols aren't much good outside of a symbol-processing architecture.Alan Prince & Steven Pinker - 1988 - Behavioral and Brain Sciences 11 (1):46-47.
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  • Movements and acts: distinguishing their neurophysiology.Karl H. Pribram - 1978 - Behavioral and Brain Sciences 1 (1):158-159.
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  • The origins of purpose: The first metasystem transitions.William T. Powers - 1995 - World Futures 45 (1):125-137.
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  • Possible mechanisms for a multiple-level model of evolution.H. C. Plotkin & F. J. Odling - 1981 - Behavioral and Brain Sciences 4 (2):257-268.
    Many of the commentaries cohere around two major points of criticism. The first is that we have omitted discussion of the mechanisms that are assumed to operate at levels 2, 3, and 4.Campbell, Cloak, Dewsbury, Eckberg, Mundinger, Pulliam, Richerson & Boyd, Slobodkin, Simon, Williams, andWahlstenall make comments that bear on this point. The second point is that we have omitted discussion of the fact that "organisms change the environment by their activities" and thereby modify the selection pressures that act on (...)
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  • Linear and circular causal sequences.H. C. Plotkin & F. J. Odling-Smee - 1984 - Behavioral and Brain Sciences 7 (4):493-494.
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  • A multiple-level model of evolution and its implications for sociobiology.H. C. Plotkin & F. J. Odling-Smee - 1981 - Behavioral and Brain Sciences 4 (2):225-235.
    The fundamental tenet of contemporary sociobiology, namely the assumption of a single process of evolution involving the selection of genes, is critically examined. An alternative multiple-level, multiple-process model of evolution is presented which posits that the primary process that operates via selection upon the genes cannot account for certain kinds of biological phenomena, especially complex, learned, social behaviours. The primary process has evolved subsidiary evolutionary levels and processes that act to bridge the gap between genes and these complex behaviours. The (...)
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  • Computation vs. information processing: why their difference matters to cognitive science.Gualtiero Piccinini & Andrea Scarantino - 2010 - Studies in History and Philosophy of Science Part A 41 (3):237-246.
    Since the cognitive revolution, it has become commonplace that cognition involves both computation and information processing. Is this one claim or two? Is computation the same as information processing? The two terms are often used interchangeably, but this usage masks important differences. In this paper, we distinguish information processing from computation and examine some of their mutual relations, shedding light on the role each can play in a theory of cognition. We recommend that theorists of cognition be explicit and careful (...)
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  • Beyond design: cybernetics, biological computers and hylozoism.Andrew Pickering - 2009 - Synthese 168 (3):469-491.
    The history of British cybernetics offers us a different form of science and engineering, one that does not seek to dominate nature through knowledge. I want to say that one can distinguish two different paradigms in the history of science and technology: the one that Heidegger despised, which we could call the Modern paradigm, and another, cybernetic, nonModern, paradigm that he might have approved of. This essay focusses on work in the 1950s and early 1960s by two of Britain’s leading (...)
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  • Which came first, the egg-problem or the hen-solution?Massimo Piattelli-Palmarini - 1990 - Behavioral and Brain Sciences 13 (1):84-86.
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  • Causation and Information: Where Is Biological Meaning to Be Found?Mark Pharoah - 2020 - Biosemiotics 13 (3):309-326.
    The term ‘information’ is used extensively in biology, cognitive science and the philosophy of consciousness in relation to the concepts of ‘meaning’ and ‘causation’. While ‘information’ is a term that serves a useful purpose in specific disciplines, there is much to the concept that is problematic. Part 1 is a critique of the stance that information is an independently existing entity. On this view, and in biological contexts, systems transmit, acquire, assimilate, decode and manipulate it, and in so doing, generate (...)
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  • Toward mechanistic models of action-oriented and detached cognition.Giovanni Pezzulo - 2016 - Behavioral and Brain Sciences 39.
    To be successful, the research agenda for a novel control view of cognition should foresee more detailed, computationally specified process models of cognitive operations including higher cognition. These models should cover all domains of cognition, including those cognitive abilities that can be characterized as online interactive loops and detached forms of cognition that depend on internally generated neuronal processing.
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  • Sympathetic Magic: A Psychological Enquiry.Frederic Peters - 2023 - Journal of Cognition and Culture 23 (5):522-570.
    Sympathetic magic features strongly in virtually all religious traditions and in folk customs generally. Scholars agree that It is based on the association of ideas perceived as external, mind-independent causal realities, as connections mediating causal influence. Moreover, religious folk believe that this mediation involves forms of supernatural agency. From a psychological perspective, the key question revolves around the principles by which the cognitive system deems some of its content to reference the external world and other content to constitute internal mental (...)
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  • Linkage problems: Human genes and human culture.Steven A. Peterson - 1981 - Behavioral and Brain Sciences 4 (2):247-247.
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  • Genetics, evolution and cultural selection.Anthony J. Perzigian - 1981 - Behavioral and Brain Sciences 4 (2):246-247.
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  • Chaos in brains: Fad or insight?Donald H. Perkel - 1987 - Behavioral and Brain Sciences 10 (2):180-181.
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  • The use of analogy and parable in cybernetics with emphasis upon analogies for learning and creativity.Gordon Pask - 1963 - Dialectica 17 (2‐3):167-203.
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  • Biotic intelligence (BI)?F. J. Odling-Smee - 1990 - Behavioral and Brain Sciences 13 (1):83-84.
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  • Vasotocin: Neurohumoral control of the reciprocal-interaction model?J. R. Normanton - 1986 - Behavioral and Brain Sciences 9 (3):416-417.
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  • Feminist Philosophy of Science.Lynn Hankinson Nelson - 2002 - In Peter Machamer & Michael Silberstein (eds.), The Blackwell Guide to the Philosophy of Science. Oxford, UK: Blackwell. pp. 312–331.
    This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.
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  • Connections among connections.R. J. Nelson - 1988 - Behavioral and Brain Sciences 11 (1):45-46.
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  • Evolution and populations.Paul C. Mundinger - 1981 - Behavioral and Brain Sciences 4 (2):245-246.
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  • Self-programming machines (II): Network of self-programming machines driving an Ashby homeostat.J.-P. Moulin - 2003 - Acta Biotheoretica 51 (4):265-276.
    The progress in artificial intelligence enables us to conceive adaptive systems whose characteristics are nearer and nearer to those of living beings. These characteristics though depend on ingenious choices by the designer of these systems: Initial conditions, parameters, optimisation functions, gradient and measure of fitness within the environment. Nevertheless, in living systems which are non-finalist, there are no programmers or designers to conceive of such ingenious choices. Our paper “Self-Programming Machines (I)” presents a non-finalist model since initial states and functions (...)
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  • When is a “center” not a “center”? When it's “anatomically distributed”: Prospects for a “diffuse REM center”.Peter J. Morgane - 1986 - Behavioral and Brain Sciences 9 (3):414-415.
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  • Proposed model of postural atonia in a decerebrate cat.S. Mori & Y. Ohta - 1986 - Behavioral and Brain Sciences 9 (3):415-416.
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  • Nonverbal knowledge as algorithms.Chris Mortensen - 1987 - Behavioral and Brain Sciences 10 (3):487-488.
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  • In defence of neurons.Chris Mortensen - 1988 - Behavioral and Brain Sciences 11 (1):44-45.
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  • Are cholinergic, noradrenergic, and serotonergic neurons sufficient for understanding REM sleep control?Jaime M. Monti - 1986 - Behavioral and Brain Sciences 9 (3):413-414.
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  • The emergence of dynamical complexity: An exploration using elementary cellular automata.Eduardo Mizraji - 2004 - Complexity 9 (6):33-42.
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  • The autonomous choice architect.Stuart Mills & Henrik Skaug Sætra - forthcoming - AI and Society:1-13.
    Choice architecture describes the environment in which choices are presented to decision-makers. In recent years, public and private actors have looked at choice architecture with great interest as they seek to influence human behaviour. These actors are typically called choice architects. Increasingly, however, this role of architecting choice is not performed by a human choice architect, but an algorithm or artificial intelligence, powered by a stream of Big Data and infused with an objective it has been programmed to maximise. We (...)
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  • The reciprocal-interaction model of sleep: A look at a vigorous ten-year-old.Wallace B. Mendelson - 1986 - Behavioral and Brain Sciences 9 (3):412-413.
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  • Toward some circuitry of ethical robots or an observational science of the genesis of social evaluation in the mind-like behavior of artifacts.W. S. McCulloch - 1956 - Acta Biotheoretica 11 (3-4):147-156.
    Modern knowledge of servo systems and computing machines makes it possible to specify a circuit that can and will induce the rules and winning moves in a game like chess when they are given only ostensibly, that is, by playing against opponents who quit when illegal or losing moves are made. Such circuits enjoy a value social in the sense that it is shared by the players.La connaissance moderne des servomécanismes et des machines à calculer permet de concevoir un circuit (...)
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  • Epistemological challenges for connectionism.John McCarthy - 1988 - Behavioral and Brain Sciences 11 (1):44-44.
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  • Reproduzierbarkeit Von ergebnissen vs. heuristischer gehalt wissenschaftlicher konzepte.Bernd Martens - 1986 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 17 (2):256-264.
    By means of an ecological and system theoretic example it is argued, that the methodological principle of repeatable effects is only partially valid. In 1970 a conjecture of system's properties was published which was refuted later, but further research was initiated in different fields, just because it referred to a non-repeatable "false" result. The heuristic content of a concept seemed to be more important than a successful replication of an experiment. The case study exhibits the restricted validity of general methodological (...)
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  • Reproduzierbarkeit von Ergebnissen vs. heuristischer Gehalt wissenschaftlicher Konzepte.Bernd Martens - 1986 - Zeitschrift Für Allgemeine Wissenschaftstheorie 17 (2):256-264.
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  • The possibility and limits of a science of man.G. Brent Madison - 1976 - World Futures 14 (4):351-366.
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  • The way of all matter.William A. MacKay - 1990 - Behavioral and Brain Sciences 13 (1):82-83.
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  • Symbols, subsymbols, neurons.William G. Lycan - 1988 - Behavioral and Brain Sciences 11 (1):43-44.
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  • “Intelligent” evolution and neo-Darwinian straw men.Elisabeth A. Lloyd - 1990 - Behavioral and Brain Sciences 13 (1):81-82.
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  • Connectionism in the golden age of cognitive science.Dan Lloyd - 1988 - Behavioral and Brain Sciences 11 (1):42-43.
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  • Cybernetic legal analysis and human agency.Alessandra Lippucci - 1998 - Res Publica 4 (1):77-116.
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  • Can this treatment raise the dead?Robert K. Lindsay - 1988 - Behavioral and Brain Sciences 11 (1):41-42.
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  • On constraints and adaptation.R. C. Lewontin - 1981 - Behavioral and Brain Sciences 4 (2):244-245.
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  • Is chaos the only alternative to rigidity?Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (2):180-180.
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  • Connectionism and motivation are compatible.Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (3):487-487.
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  • The limits of natural selection.Sarah Lenington - 1981 - Behavioral and Brain Sciences 4 (2):244-244.
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