Search results for 'Angela Dietrich' (try it on Scholar)

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  1. Angela Dietrich, The Roots of Interbeing: Buddhist Revival in Vietnam.score: 240.0
    To renowned Buddhologist Heinz Bechert, Buddhist modernism was a manifestation of religious revivalism applied to the context of post-colonial society, bearing the following features which are relevant for the current discussion, amongst others: (1) an emphasis on Buddhism as a philosophy, rather than a creed or a religion; (2) an emphasis on ‘activism’ and setting great store by social work; (3) the claim by modernists that Buddhism has always included a social component described as a philosophy of equality…and that a (...)
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  2. Donald J. Dietrich (2012). Dietrich Bonhoeffer's Letters and Papers From Prison: A Biography. By Martin Marty. The European Legacy 17 (7):951-952.score: 180.0
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  3. Eric Dietrich (2001). It Does So. [REVIEW] AI Magazine 22 (4):141-144.score: 60.0
    Objections to AI and computational cognitive science are myriad. Accordingly, there are many different reasons for these attacks. But all of them come down to one simple observation: humans seem a lot smarter that computers -- not just smarter as in Einstein was smarter than I, or I am smarter than a chimpanzee, but more like I am smarter than a pencil sharpener. To many, computation seems like the wrong paradigm for studying the mind. (Actually, I think there are deeper (...)
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  4. Eric Dietrich & Valerie Gray Hardcastle (2004). Sisyphus's Boulder: Consciousness and the Limits of the Knowable. John Benjamins.score: 60.0
    In Sisyphus's Boulder, Eric Dietrich and Valerie Hardcastle argue that we will never get such a theory because consciousness has an essential property that...
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  5. Franz Dietrich & Christian List (2013). Propositionwise Judgment Aggregation: The General Case. Social Choice and Welfare 40 (4):1067-1095.score: 60.0
    In the theory of judgment aggregation, it is known for which agendas of propositions it is possible to aggregate individual judgments into collective ones in accordance with the Arrow-inspired requirements of universal domain, collective rationality, unanimity preservation, non-dictatorship and propositionwise independence. But it is only partially known (e.g., only in the monotonic case) for which agendas it is possible to respect additional requirements, notably non-oligarchy, anonymity, no individual veto power, or implication preservation. We fully characterize the agendas for which there (...)
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  6. Franz Dietrich & Christian List (2013). Reasons for (Prior) Belief in Bayesian Epistemology. Synthese 190 (5):781-786.score: 60.0
    Bayesian epistemology tells us with great precision how we should move from prior to posterior beliefs in light of new evidence or information, but says little about where our prior beliefs come from. It offers few resources to describe some prior beliefs as rational or well-justified, and others as irrational or unreasonable. A different strand of epistemology takes the central epistemological question to be not how to change one’s beliefs in light of new evidence, but what reasons justify a given (...)
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  7. Eric Dietrich (2001). It Does So: Review of Jerry Fodor, The Mind Doesn't Work That Way. [REVIEW] AI Magazine 22 (4):121-24.score: 60.0
    Objections to AI and computational cognitive science are myriad. Accordingly, there are many different reasons for these attacks. But all of them come down to one simple observation: humans seem a lot smarter that computers -- not just smarter as in Einstein was smarter than I, or I am smarter than a chimpanzee, but more like I am smarter than a pencil sharpener. To many, computation seems like the wrong paradigm for studying the mind. (Actually, I think there are deeper (...)
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  8. Eric Dietrich (2001). It Does So: Review of The Mind Doesn't Work That Way: The Scope and Limits of Computational Psychology. [REVIEW] AI Magazine 22 (4):141-144.score: 60.0
    Objections to AI and computational cognitive science are myriad. Accordingly, there are many different reasons for these attacks. But all of them come down to one simple observation: humans seem a lot smarter that computers -- not just smarter as in Einstein was smarter than I, or I am smarter than a chimpanzee, but more like I am smarter than a pencil sharpener. To many, computation seems like the wrong paradigm for studying the mind. (Actually, I think there are deeper (...)
     
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  9. Eric Dietrich (2011). There Is No Progress in Philosophy. Essays in Philosophy 12 (2):9.score: 30.0
    Except for a patina of twenty-first century modernity, in the form of logic and language, philosophy is exactly the same now as it ever was; it has made no progress whatsoever. We philosophers wrestle with the exact same problems the Pre-Socratics wrestled with. Even more outrageous than this claim, though, is the blatant denial of its obvious truth by many practicing philosophers. The No-Progress view is explored and argued for here. Its denial is diagnosed as a form of anosognosia, a (...)
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  10. Eric Dietrich (2001). Concepts: Fodor's Little Semantic BBs of Thought - A Critical Look at Fodor's Theory of Concepts -. J. Of Experimental and Theoretical AI 13 (2):89-94.score: 30.0
    I find it interesting that AI researchers don't use concepts very often in their theorizing. No doubt they feel no pressure to. This is because most AI researchers do use representations which allow a system to chunk up its environment, and basically all we know about concepts is that they are representations which allow a system to chunk up its environment.
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  11. Eric Dietrich & Julietta Rose (2009). The Paradox of Consciousness and the Realism/Anti-Realism Debate. Logos Architekton 3 (1):7-37.score: 30.0
    Beginning with the paradoxes of zombie twins, we present an argument that dualism is both true and false. We show that avoiding this contradiction is impossible. Our diagnosis is that consciousness itself engenders this contradiction by producing contradictory points of view. This result has a large effect on the realism/anti-realism debate, namely, it suggests that this debate is intractable, and furthermore, it explains why this debate is intractable. We close with some comments on what our results mean for metaphysics and (...)
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  12. Eric Dietrich (2000). Analogy and Conceptual Change, or You Can't Step Into the Same Mind Twice. In Eric Dietrich Art Markman (ed.), Cognitive Dynamics: Conceptual change in humans and machines. Lawrence Erlbaum. 265--294.score: 30.0
    Sometimes analogy researchers talk as if the freshness of an experience of analogy resides solely in seeing that something is like something else -- seeing that the atom is like a solar system, that heat is like flowing water, that paint brushes work like pumps, or that electricity is like a teeming crowd. But analogy is more than this. Analogy isn't just seeing that the atom is like a solar system; rather, it is seeing something new about the atom, an (...)
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  13. Eric Dietrich & Tara Fox Hall (2010). The Allure of the Serial Killer. In Sara Waller (ed.), Serial Killers and Philosophy. John Wiley.score: 30.0
    What is it about serial killers that grips our imaginations? They populate some of our most important literature and art, and to this day, Jack the Ripper intrigues us. In this paper, we examine this phenomenon, exploring the idea that serial killers in part represent something in us that, if not good, is at least admirable. To get at this, we have to peel off layers of other causes of our attraction, for our attraction to serial killing is complex (it (...)
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  14. Eric Dietrich (2010). Analogical Insight: Toward Unifying Categorization and Analogy. Cognitive Processing 11 (4):331-.score: 30.0
    The purpose of this paper is to present two kinds of analogical representational change, both occurring early in the analogy-making process, and then, using these two kinds of change, to present a model unifying one sort of analogy-making and categorization. The proposed unification rests on three key claims: (1) a certain type of rapid representational abstraction is crucial to making the relevant analogies (this is the first kind of representational change; a computer model is presented that demonstrates this kind of (...)
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  15. Rick Dale, Eric Dietrich & Anthony Chemero (2009). Explanatory Pluralism in Cognitive Science. Cognitive Science 33 (2):739-742.score: 30.0
    This brief commentary has three goals. The first is to argue that ‘‘framework debate’’ in cognitive science is unresolvable. The idea that one theory or framework can singly account for the vast complexity and variety of cognitive processes seems unlikely if not impossible. The second goal is a consequence of this: We should consider how the various theories on offer work together in diverse contexts of investigation. A final goal is to supply a brief review for readers who are compelled (...)
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  16. Eric Dietrich (2002). Subvert the Dominant Paradigm! J. Of Experimental and Theoretical AI.score: 30.0
    We again press the case for computationalism by considering the latest in ill- conceived attacks on this foundational idea. We briefly but clearly define and delimit computationalism and then consider three authors from a new anti- computationalist collection.
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  17. Frederick R. Adams & Laura A. Dietrich (2004). Swampman's Revenge: Squabbles Among the Representationalists. Philosophical Psychology 17 (3):323-40.score: 30.0
    There are both externalist and internalist theories of the phenomenal content of conscious experiences. Externalists like Dretske and Tye treat the phenomenal content of conscious states as representations of external properties (and events). Internalists think that phenomenal conscious states are reducible to electrochemical states of the brain in the style of the type-type identity theory. In this paper, we side with the representationalists and visit a dispute between them over the test case of Swampman. Does Swampman have conscious phenomenal (...)
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  18. Eric Dietrich (2011). Homo Sapiens 2.0 Why We Should Build the Better Robots of Our Nature. In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press.score: 30.0
    It is possible to survey humankind and be proud, even to smile, for we accomplish great things. Art and science are two notable worthy human accomplishments. Consonant with art and science are some of the ways we treat each other. Sacrifice and heroism are two admirable human qualities <span class='Hi'>that</span> pervade human interaction. But, as everyone knows, all this goodness is more than balanced by human depravity. Moral corruption infests our being. Why?
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  19. Arthur B. Markman & Eric Dietrich (1999). Whither Structured Representation? Behavioral and Brain Sciences 22 (4):626-627.score: 30.0
    The perceptual symbol system view assumes that perceptual representations have a role-argument structure. A role-argument structure is often incorporated into amodal symbol systems in order to explain conceptual functions like abstraction and rule use. The power of perceptual symbol systems to support conceptual functions is likewise rooted in its use of structure. On Barsalou's account, this capacity to use structure (in the form of frames) must be innate.
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  20. Eric Dietrich (1999). Dynamic Systems and Paradise Regained, or How to Avoid Being a Calculator. [REVIEW] J. Of Experimental and Theoretical AI 11 (4):473-478.score: 30.0
    The new kid on the block in cognitive science these days is dynamic systems. This way of thinking about the mind is, as usual, radically opposed to computationalism - - the hypothesis that thinking is computing. The use of dynamic systems is just the latest in a series of attempts, from Searle's Chinese Room Argument, through the weirdnesses of postmodernism, to overthrown computationalism, which as we all know is a perfectly nice hypothesis about the mind that never hurt anyone.
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  21. Eric Dietrich (2008). The Bishop and Priest: Toward a Point-of-View Based Epistemology of True Contradictions. Logos Architekton 2 (2):35-58..score: 30.0
    True contradictions are taken increasingly seriously by philosophers and logicians. Yet, the belief that contradictions are always false remains deeply intuitive. This paper confronts this belief head-on by explaining in detail how one specific contradiction is true. The contradiction in question derives from Priest's reworking of Berkeley's argument for idealism. However, technical aspects of the explanation offered here differ considerably from Priest's derivation. The explanation uses novel formal and epistemological tools to guide the reader through a valid argument with, not (...)
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  22. Franz Dietrich & Christian List (2013). A Reason-Based Theory of Rational Choice. Noûs 47 (1):104-134.score: 30.0
    There is a surprising disconnect between formal rational choice theory and philosophical work on reasons. The one is silent on the role of reasons in rational choices, the other rarely engages with the formal models of decision problems used by social scientists. To bridge this gap, we propose a new, reason-based theory of rational choice. At its core is an account of preference formation, according to which an agent’s preferences are determined by his or her motivating reasons, together with a (...)
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  23. Eric Dietrich (1998). Review of David Chalmers, The Conscious Mind. [REVIEW] Minds and Machines 8 (3):441-461.score: 30.0
    When Charles Darwin died in April, 1882, he left behind a world changed forever. Because of his writings, most notably, of course, The Origin of Species, by 1882, evolution was an almost universally acknowledged fact. What remained in dispute, however, was how evolution occurred. So because of Darwin’s work, everyone accepted that new species emerge over time, yet few agreed with him that it was natural selection that powered the change, as Darwin hypothesized. Chalmers’ book, The Conscious Mind , reminds (...)
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  24. Eric Dietrich & Valerie Gray Hardcastle (2002). A Connecticut Yalie in King Descartes' Court. Newsletter of Cognitive Science Society (Now Defunct).score: 30.0
    What is consciousness? Of course, each of us knows, privately, what consciousness is. And we each think, for basically irresistible reasons, that all other conscious humans by and large have experiences like ours. So we conclude that we all know what consciousness is. It's the felt experiences of our lives. But that is not the answer we, as cognitive scientists, seek in asking our question. We all want to know what physical process consciousness is and why it produces this very (...)
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  25. Eric Dietrich (2001). AI, Concepts, and the Paradox of Mental Representation, with a Brief Discussion of Psychological Essentialism. J. Of Exper. And Theor. AI 13 (1):1-7.score: 30.0
    Mostly philosophers cause trouble. I know because on alternate Thursdays I am one -- and I live in a philosophy department where I watch all of them cause trouble. Everyone in artificial intelligence knows how much trouble philosophers can cause (and in particular, we know how much trouble one philosopher -- John Searle -- has caused). And, we know where they tend to cause it: in knowledge representation and the semantics of data structures. This essay is about a recent case (...)
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  26. David Sloan Wilson, Eric Dietrich & Anne B. Clark (2003). On the Inappropriate Use of the Naturalistic Fallacy in Evolutionary Psychology. Biology and Philosophy 18 (5):669-81.score: 30.0
    The naturalistic fallacy is mentionedfrequently by evolutionary psychologists as anerroneous way of thinking about the ethicalimplications of evolved behaviors. However,evolutionary psychologists are themselvesconfused about the naturalistic fallacy and useit inappropriately to forestall legitimateethical discussion. We briefly review what thenaturalistic fallacy is and why it is misusedby evolutionary psychologists. Then we attemptto show how the ethical implications of evolvedbehaviors can be discussed constructivelywithout impeding evolutionary psychologicalresearch. A key is to show how ethicalbehaviors, in addition to unethical behaviors,can evolve by natural selection.
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  27. Eric Dietrich & A. Markman (2003). Discrete Thoughts: Why Cognition Must Use Discrete Representations. Mind and Language 18 (1):95-119.score: 30.0
    Advocates of dynamic systems have suggested that higher mental processes are based on continuous representations. In order to evaluate this claim, we first define the concept of representation, and rigorously distinguish between discrete representations and continuous representations. We also explore two important bases of representational content. Then, we present seven arguments that discrete representations are necessary for any system that must discriminate between two or more states. It follows that higher mental processes require discrete representations. We also argue that discrete (...)
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  28. B. van Heuveln, Eric Dietrich & M. Oshima (1998). Let's Dance! The Equivocation in Chalmers' Dancing Qualia Argument. Minds and Machines 8 (2):237-249.score: 30.0
    David Chalmers' dancing qualia argument is intended to show that phenomenal experiences, or qualia, are organizational invariants. The dancing qualia argument is a reductio ad absurdum, attempting to demonstrate that holding an alternative position, such as the famous inverted spectrum argument, leads one to an implausible position about the relation between consciousness and cognition. In this paper, we argue that Chalmers' dancing qualia argument fails to establish the plausibility of qualia being organizational invariants. Even stronger, we will argue that the (...)
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  29. Eric Dietrich, Arthur B. Markman & Michael Winkley (2003). The Prepared Mind: The Role of Representational Change in Chance Discovery. In Yukio Ohsawa Peter McBurney (ed.), Chance Discovery by Machines. Springer-Verlag, pp. 208-230..score: 30.0
    Analogical reminding in humans and machines is a great source for chance discoveries because analogical reminding can produce representational change and thereby produce insights. Here, we present a new kind of representational change associated with analogical reminding called packing. We derived the algorithm in part from human data we have on packing. Here, we explain packing and its role in analogy making, and then present a computer model of packing in a micro-domain. We conclude that packing is likely used in (...)
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  30. Eric Dietrich (2008). Some Strangeness in the Proportion, or How to Stop Worrying and Learn to Love the Mechanistic Forces of Darkness. Phenomenology and the Cognitive Sciences 7 (3):349-352.score: 30.0
    Understanding humans requires viewing them as mechanisms of some sort, since understanding anything requires seeing it as a mechanism. It is science’s job to reveal mechanisms. But science reveals much more than that: it also reveals enduring mystery—strangeness in the proportion. Concentrating just on the scientific side of Selinger’s and Engström’s call for a moratorium on cyborg discourse, I argue that this strangeness prevents cyborg discourse from diminishing us.
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  31. Eric Dietrich (2007). After the Humans Are Gone. Philosophy Now 61 (May/June):16-19.score: 30.0
    Recently, on the History Channel, artificial intelligence (AI) was singled out, with much wringing of hands, as one of the seven possible causes of the end of human life on Earth. I argue that the wringing of hands is quite inappropriate: the best thing that could happen to humans, and the rest of life of on planet Earth, would be for us to develop intelligent machines and then usher in our own extinction.
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  32. Eric Dietrich (1996). AI, Situatedness, Creativity, and Intelligence; or the Evolution of the Little Hearing Bones. J. Of Experimental and Theoretical AI 8 (1):1-6.score: 30.0
    Good sciences have good metaphors. Indeed, good sciences are good because they have good metaphors. AI could use more good metaphors. In this editorial, I would like to propose a new metaphor to help us understand intelligence. Of course, whether the metaphor is any good or not depends on whether it actually does help us. (What I am going to propose is not something opposed to computationalism -- the hypothesis that cognition is computation. Noncomputational metaphors are in vogue these days, (...)
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  33. A. Dietrich (2003). Functional Neuroanatomy of Altered States of Consciousness: The Transient Hypofrontality Hypothesis. Consciousness and Cognition 12 (2):231-256.score: 30.0
  34. Arthur B. Markman & Eric Dietrich (2000). Extending the Classical View of Representation. Trends in Cognitive Sciences 4 (12):470-475.score: 30.0
    Representation is a central part of models in cognitive science, but recently this idea has come under attack. Researchers advocating perceptual symbol systems, situated action, embodied cognition, and dynamical systems have argued against central assumptions of the classical representational approach to mind. We review the core assumptions of the dominant view of representation and the four suggested alternatives. We argue that representation should remain a core part of cognitive science, but that the insights from these alternative approaches must be incorporated (...)
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  35. Eric Dietrich & Chris Fields (1996). Role of the Frame Problem in Fodor's Modularity Thesis. In Ken Ford & Zenon Pylyshyn (eds.), The Robot's Dilemma Revisited.score: 30.0
    It is shown that the Fodor's interpretation of the frame problem is the central indication that his version of the Modularity Thesis is incompatible with computationalism. Since computationalism is far more plausible than this thesis, the latter should be rejected.
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  36. L. A. Loren & Eric Dietrich (1997). Merleau-Ponty, Embodied Cognition, and the Problem of Intentionality. Cybernetics and Systems 28:345-58.score: 30.0
  37. Eric Dietrich (2000). A Counterexample T o All Future Dynamic Systems Theories of Cognition. J. Of Experimental and Theoretical AI 12 (2):377-382.score: 30.0
    Years ago, when I was an undergraduate math major at the University of Wyoming, I came across an interesting book in our library. It was a book of counterexamples t o propositions in real analysis (the mathematics of the real numbers). Mathematicians work more or less like the rest of us. They consider propositions. If one seems to them to be plausibly true, then they set about to prove it, to establish the proposition as a theorem. Instead o f setting (...)
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  38. A. Dietrich (2004). Neurocognitive Mechanisms Underlying the Experience of Flow. Consciousness and Cognition 13 (4):746-761.score: 30.0
  39. Arthur B. Markman & Eric Dietrich, Something Old, Something New: Extending the Classical View of Representation.score: 30.0
    Representation is a central part of models in cognitive science, but recently this idea has come under attack. Researchers advocating perceptual symbol systems, situated action, embodied cognition, and dynamical systems have argued against central assumptions of the classical representational approach to mind. We review the core assumptions of the dominant view of representation and the four suggested alternatives. We argue that representation should remain a core part of cognitive science, but that the insights from these alternative approaches must be incorporated (...)
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  40. Eric Dietrich (1995). AI and the Mechanistic Forces of Darkness. J. Of Experimental and Theoretical AI 7 (2):155-161.score: 30.0
    Under the Superstition Mountains in central Arizona toil those who would rob humankind o f its humanity. These gray, soulless monsters methodically tear away at our meaning, our subjectivity, our essence as transcendent beings. With each advance, they steal our freedom and dignity. Who are these denizens of darkness, these usurpers of all that is good and holy? None other than humanity’s arch-foe: The Cognitive Scientists -- AI researchers, fallen philosophers, psychologists, and other benighted lovers of computers. Unless they are (...)
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  41. Eric Dietrich (1998). It Only Seems as If Zombies Are Logically Possible, or How Consciousness Hides the Truth of Materialism: A Critical Review of The Conscious Mind. [REVIEW] Minds and Machines 8 (3):441-461.score: 30.0
  42. Eric Dietrich & Anthony S. Gillies (2001). Consciousness and the Limits of Our Imaginations. Synthese 126 (3):361-381.score: 30.0
    Chalmers' anti-materialist arguments are an interesting twist on a well-known argument form, and his naturalistic dualism is exciting to contemplate. Nevertheless, we think we can save materialism from the Chalmerian attack. This is what we do in the present paper.
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  43. Eric Dietrich (2001). Banbury Bound, or Can a Machine Be Conscious? J. Of Experimental and Theoretical AI 13 (2):177-180.score: 30.0
    In mid-May of 2001, I attended a fascinating workshop at Cold Spring Harbor Labs. The conference was held at the lab's Banbury Center, an elegant mansion and its beautiful surrounding estate, located on Banbury Lane, in the outskirts of Lloyd Harbor, overlooking the north shore of Long Island in New York. The estate was formerly owned by Charles Sammis Robertson. In 1976, Robertson donated his estate, and an endowment for its upkeep, to the Lab. The donation included the Robertson's mansion, (...)
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  44. Eric Dietrich (1999). Fodor's Gloom, or What Does It Mean That Dualism Seems True? Journal of Experimental and Theoretical Artificial Intelligence 11 (2):145-152.score: 30.0
    Any time you have philosophers working on a problem, you know you’ve got troubles. If a question has attracted the attention of the philosophers that means that either it is intractably difficult with convolutions and labyrinthine difficulties that would make other researchers blanch, or that it is just flat out impossible to solve. Impossible problems masquerade as intractable problems until someone either proves the problem is impossible (which can only happen in mathematics), or someone shows all solutions to the problem (...)
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  45. Michael R. Dietrich & Roberta L. Millstein (2008). The Role of Causal Processes in the Neutral and Nearly Neutral Theories. Philosophy of Science 75 (5):548-559.score: 30.0
    The neutral and nearly neutral theories of molecular evolution are sometimes characterized as theories about drift alone, where drift is described solely as an outcome, rather than a process. We argue, however, that both selection and drift, as causal processes, are integral parts of both theories. However, the nearly neutral theory explicitly recognizes alleles and/or molecular substitutions that, while engaging in weakly selected causal processes, exhibit outcomes thought to be characteristic of random drift. A narrow focus on outcomes obscures the (...)
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  46. Franz Dietrich & Christian List (2007). Arrow's Theorem in Judgment Aggregation. Social Choice and Welfare 29 (1):19-33.score: 30.0
    In response to recent work on the aggregation of individual judgments on logically connected propositions into collective judgments, it is often asked whether judgment aggregation is a special case of Arrowian preference aggregation. We argue for the converse claim. After proving two impossibility theorems on judgment aggregation (using "systematicity" and "independence" conditions, respectively), we construct an embedding of preference aggregation into judgment aggregation and prove Arrow’s theorem (stated for strict preferences) as a corollary of our second result. Although we thereby (...)
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  47. Franz Dietrich & Christian List (2010). The Aggregation of Propositional Attitudes: Towards a General Theory. Oxford Studies in Epistemology 3.score: 30.0
    How can the propositional attitudes of several individuals be aggregated into overall collective propositional attitudes? Although there are large bodies of work on the aggregation of various special kinds of propositional attitudes, such as preferences, judgments, probabilities and utilities, the aggregation of propositional attitudes is seldom studied in full generality. In this paper, we seek to contribute to filling this gap in the literature. We sketch the ingredients of a general theory of propositional attitude aggregation and prove two new theorems. (...)
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  48. Franz Dietrich & Christian List (2013). Where Do Preferences Come From? International Journal of Game Theory 42 (3):613-637.score: 30.0
    Rational choice theory analyzes how an agent can rationally act, given his or her preferences, but says little about where those preferences come from. Preferences are usually assumed to be fixed and exogenously given. Building on related work on reasons and rational choice, we describe a framework for conceptualizing preference formation and preference change. In our model, an agent's preferences are based on certain "motivationally salient" properties of the alternatives over which the preferences are held. Preferences may change as new (...)
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  49. Jerry DeJohn & Eric Dietrich, Subvert the Dominant Paradigm!score: 30.0
    We again press the case for computationalism by considering the latest in illconceived attacks on this foundational idea. We briefly but clearly define and delimit computationalism and then consider three authors from a new anticomputationalist collection.
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  50. Michael R. Dietrich (1994). The Origins of the Neutral Theory of Molecular Evolution. Journal of the History of Biology 27 (1):21 - 59.score: 30.0
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