Year:

  1.  11
    Asynchronous Introspection Theory: The Underpinnings of Phenomenal Consciousness in Temporal Illusion.Shuo Chen, Changle Zhou, Jing Li & Hua Peng - 2017 - Minds and Machines 27 (2):315-330.
    A new theory of the neuropsychological underpinnings of phenomenal consciousness, “asynchronous introspection theory,” is proposed that emphasizes asynchrony between different neurocognitive processes. We provide a detailed explanation of how a mind might arrive at a cognitive structure isomorphic to the cognitive structure that would emerge from experiential qualia. The theory suggests that a temporal illusion is created because of the mismatch between the real physical timeline and the neurally constructed timeline composed inside a person’s brain. This temporal illusion leads to (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  2.  14
    Andy Clark, Surfing Uncertainty: Prediction, Action, and the Embodied Mind.Matteo Colombo - 2017 - Minds and Machines 27 (2):381-385.
  3.  16
    The Epistemic Value of Brain–Machine Systems for the Study of the Brain.Edoardo Datteri - 2017 - Minds and Machines 27 (2):287-313.
    Bionic systems, connecting biological tissues with computer or robotic devices through brain–machine interfaces, can be used in various ways to discover biological mechanisms. In this article I outline and discuss a “stimulation-connection” bionics-supported methodology for the study of the brain, and compare it with other epistemic uses of bionic systems described in the literature. This methododology differs from the “synthetic”, simulative method often followed in theoretically driven Artificial Intelligence and cognitive science, even though it involves machine models of biological systems. (...)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography  
  4.  2
    “Cognition” and Dynamical Cognitive Science.Luis H. Favela & Jonathan Martin - 2017 - Minds and Machines 27 (2):331-355.
    Several philosophers have expressed concerns with some recent uses of the term ‘cognition’. Underlying a number of these concerns are claims that cognition is only located in the brain and that no compelling case has been made to use ‘cognition’ in any way other than as a cause of behavior that is representational in nature. These concerns center on two primary misapprehensions: First, that some adherents of dynamical cognitive science think DCS implies the thesis of extended cognition and the rejection (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  5.  7
    A Plea for Non-Naturalism as Constructionism.Luciano Floridi - 2017 - Minds and Machines 27 (2):269-285.
    Contemporary science seems to be caught in a strange predicament. On the one hand, it holds a firm and reasonable commitment to a healthy naturalistic methodology, according to which explanations of natural phenomena should never overstep the limits of the natural itself. On the other hand, contemporary science is also inextricably and now inevitably dependent on ever more complex technologies, especially Information and Communication Technologies, which it exploits as well as fosters. Yet such technologies are increasingly “artificialising” or “denaturalising” the (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  6.  1
    Situating Machine Intelligence Within the Cognitive Ecology of the Internet.Paul Smart - 2017 - Minds and Machines 27 (2):357-380.
    The Internet is an important focus of attention for the philosophy of mind and cognitive science communities. This is partly because the Internet serves as an important part of the material environment in which a broad array of human cognitive and epistemic activities are situated. The Internet can thus be seen as an important part of the ‘cognitive ecology’ that helps to shape, support and realize aspects of human cognizing. Much of the previous philosophical work in this area has sought (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  7.  3
    Cyber Conflicts and Political Power in Information Societies.Mariarosaria Taddeo - 2017 - Minds and Machines 27 (2):265-268.
  8.  3
    Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples.Tarek R. Besold, Artur D’Avila Garcez, Keith Stenning, Leendert van der Torre & Michiel van Lambalgen - 2017 - Minds and Machines 27 (1):37-77.
    This article aims to achieve two goals: to show that probability is not the only way of dealing with uncertainty ; and to provide evidence that logic-based methods can well support reasoning with uncertainty. For the latter claim, two paradigmatic examples are presented: logic programming with Kleene semantics for modelling reasoning from information in a discourse, to an interpretation of the state of affairs of the intended model, and a neural-symbolic implementation of input/output logic for dealing with uncertainty in dynamic (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  9. Formalizing Cognitive Acceptance of Arguments: Durum Wheat Selection Interdisciplinary Study.Pierre Bisquert, Madalina Croitoru, Florence Dupin de Saint-Cyr & Abdelraouf Hecham - 2017 - Minds and Machines 27 (1):233-252.
    In this paper we present an interdisciplinary approach that concerns the problem of argument acceptance in an agronomy setting. We propose a computational cognitive model for argument acceptance based on the dual model system in cognitive psychology. We apply it in an agronomy setting within a French national project on durum wheat.
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  10.  4
    The Strength of Desires: A Logical Approach.Didier Dubois, Emiliano Lorini & Henri Prade - 2017 - Minds and Machines 27 (1):199-231.
    The aim of this paper is to propose a formal approach to reasoning about desires, understood as logical propositions which we would be pleased to make true, also acknowledging the fact that desire is a matter of degree. It is first shown that, at the static level, desires should satisfy certain principles that differ from those to which beliefs obey. In this sense, from a static perspective, the logic of desires is different from the logic of beliefs. While the accumulation (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  11.  12
    Rafael Capurro, Michael Eldred and Daniel Nagel: Digital Whoness: Identity, Privacy and Freedom in the Cyberworld.Soraj Hongladarom - 2017 - Minds and Machines 27 (1):259-263.
  12.  3
    Reasoning with Imperfect Information and Knowledge.Gabriele Kern-Isberner, Igor Douven, Markus Knauff & Henri Prade - 2017 - Minds and Machines 27 (1):7-9.
  13.  6
    Illusions in Reasoning.Sangeet S. Khemlani & P. N. Johnson-Laird - 2017 - Minds and Machines 27 (1):11-35.
    Some philosophers argue that the principles of human reasoning are impeccable, and that mistakes are no more than momentary lapses in “information processing”. This article makes a case to the contrary. It shows that human reasoners commit systematic fallacies. The theory of mental models predicts these errors. It postulates that individuals construct mental models of the possibilities to which the premises of an inference refer. But, their models usually represent what is true in a possibility, not what is false. This (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  14.  4
    Conditionals, Counterfactuals, and Rational Reasoning: An Experimental Study on Basic Principles.Pfeifer Niki & Tulkki Leena - 2017 - Minds and Machines 27 (1):119-165.
    We present a unified approach for investigating rational reasoning about basic argument forms involving indicative conditionals, counterfactuals, and basic quantified statements within coherence-based probability logic. After introducing the rationality framework, we present an interactive view on the relation between normative and empirical work. Then, we report a new experiment which shows that people interpret indicative conditionals and counterfactuals by coherent conditional probability assertions and negate conditionals by negating their consequents. The data support the conditional probability interpretation of conditionals and the (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  15.  1
    Formal Nonmonotonic Theories and Properties of Human Defeasible Reasoning.Marco Ragni, Christian Eichhorn, Tanja Bock, Gabriele Kern-Isberner & Alice Ping Ping Tse - 2017 - Minds and Machines 27 (1):79-117.
    The knowledge representation and reasoning of both humans and artificial systems often involves conditionals. A conditional connects a consequence which holds given a precondition. It can be easily recognized in natural languages with certain key words, like “if” in English. A vast amount of literature in both fields, both artificial intelligence and psychology, deals with the questions of how such conditionals can be best represented and how these conditionals can model human reasoning. On the other hand, findings in the psychology (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  16.  7
    Stability and Scepticism in the Modelling of Doxastic States: Probabilities and Plain Beliefs.Hans Rott - 2017 - Minds and Machines 27 (1):167-197.
    There are two prominent ways of formally modelling human belief. One is in terms of plain beliefs, i.e., sets of propositions. The second one is in terms of degrees of beliefs, which are commonly taken to be representable by subjective probability functions. In relating these two ways of modelling human belief, the most natural idea is a thesis frequently attributed to John Locke: a proposition is or ought to be believed just in case its subjective probability exceeds a contextually fixed (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  17.  1
    Data Philanthropy and Individual Rights.Mariarosaria Taddeo - 2017 - Minds and Machines 27 (1):1-5.
  18.  9
    Luís Moniz Pereira & Ari Saptawijaya, Programming Machine Ethics.Sean Welsh - 2017 - Minds and Machines 27 (1):253-257.
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
 Previous issues
  
Next issues