This category needs an editor. We encourage you to help if you are qualified.
Volunteer, or read more about what this involves.
Related categories
Siblings:
12 found
Search inside:
(import / add options)   Sort by:
  1. Gordana Dodig-Crncovic & Raffaela Giovagnoli (2013). Computing Nature. Springer.
    The articles in this volume present a selection of works from the Symposium on Natu-ral/Unconventional Computing at AISB/IACAP (British Society for the Study of Artificial Intelligence and the Simulation of Behaviour and The International Association for Computing and Philosophy) World Congress 2012, held at the University of Birmingham, celebrating Turing centenary. This book is about nature considered as the totality of physical existence, the universe. By physical we mean all phenomena - objects and processes - that are possible to detect (...)
    Remove from this list | Direct download  
     
    My bibliography  
     
    Export citation  
  2. Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves (2012). “Machine” Consciousness and “Artificial” Thought: An Operational Architectonics Model Guided Approach. Brain Research 1428:80-92.
    Instead of using low-level neurophysiology mimicking and exploratory programming methods commonly used in the machine consciousness field, the hierarchical Operational Architectonics (OA) framework of brain and mind functioning proposes an alternative conceptual-theoretical framework as a new direction in the area of model-driven machine (robot) consciousness engineering. The unified brain-mind theoretical OA model explicitly captures (though in an informal way) the basic essence of brain functional architecture, which indeed constitutes a theory of consciousness. The OA describes the neurophysiological basis of the (...)
    Remove from this list |
    Translate to English
    | Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  3. James Franklin (1999). Structure and Domain-Independence in the Formal Sciences. Studies in History and Philosophy of Science 30:721-723.
    Replies to Kevin de Laplante’s ‘Certainty and Domain-Independence in the Sciences of Complexity’ (de Laplante, 1999), defending the thesis of J. Franklin, ‘The formal sciences discover the philosophers’ stone’, Studies in History and Philosophy of Science, 25 (1994), 513-33, that the sciences of complexity can combine certain knowledge with direct applicability to reality.
    Remove from this list | Direct download  
     
    My bibliography  
     
    Export citation  
  4. James Franklin (1994). The Formal Sciences Discover the Philosophers' Stone. Studies in History and Philosophy of Science 25 (4):513-533.
    The last fifty years have seen the creation of a number of new "formal" or "mathematical" sciences, or "sciences of complexity". Examples are operations research, theoretical computer science, information theory, descriptive statistics, mathematical ecology and control theory. Theorists of science have almost ignored them, despite the remarkable fact that (from the way the practitioners speak) they seem to have come upon the "philosophers' stone": a way of converting knowledge about the real world into certainty, merely by thinking.
    Remove from this list | Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  5. Nir Fresco & Marty J. Wolf (2014). The Instructional Information Processing Account of Digital Computation. Synthese 191 (7):1469-1492.
    What is nontrivial digital computation? It is the processing of discrete data through discrete state transitions in accordance with finite instructional information. The motivation for our account is that many previous attempts to answer this question are inadequate, and also that this account accords with the common intuition that digital computation is a type of information processing. We use the notion of reachability in a graph to defend this characterization in memory-based systems and underscore the importance of instructional information for (...)
    Remove from this list | Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  6. Geert Gooskens (2011). Beyond Good and Evil? Morality in Video Games. Philosophical Writings (1):37-44.
    Remove from this list |
    Translate to English
    | Direct download  
     
    My bibliography  
     
    Export citation  
  7. Gerhard König (2013). Simulation and the Problem of Simplification. Philosophy and Technology 26 (1):81-91.
    Remove from this list | Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  8. Ulrich Krohs (2008). How Digital Computer Simulations Explain Real-World Processes. International Studies in the Philosophy of Science 22 (3):277 – 292.
    Scientists of many disciplines use theoretical models to explain and predict the dynamics of the world. They often have to rely on digital computer simulations to draw predictions fromthe model. But to deliver phenomenologically adequate results, simulations deviate from the assumptions of the theoretical model. Therefore the role of simulations in scientific explanation demands itself an explanation. This paper analyzes the relation between real-world system, theoretical model, and simulation. It is argued that simulations do not explain processes in the real (...)
    Remove from this list | Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  9. Margaret Morrison (2009). Models, Measurement and Computer Simulation: The Changing Face of Experimentation. Philosophical Studies 143 (1):33 - 57.
    The paper presents an argument for treating certain types of computer simulation as having the same epistemic status as experimental measurement. While this may seem a rather counterintuitive view it becomes less so when one looks carefully at the role that models play in experimental activity, particularly measurement. I begin by discussing how models function as “measuring instruments” and go on to examine the ways in which simulation can be said to constitute an experimental activity. By focussing on the connections (...)
    Remove from this list | Direct download (6 more)  
     
    My bibliography  
     
    Export citation  
  10. Eric Steinhart (1998). Digital Metaphysics. In Terrell Ward Bynum & James Moor (eds.), The Digital Phoenix: How Computers Are Changing Philosophy. Blackwell Publishers. 117--134.
    I discuss the view, increasingly common in physics, that the foundational level of our physical reality is a network of computing machines (so that our universe is ultimately like a cellular automaton). I discuss finitely extended and divided (discrete) space-time and discrete causality. I examine reasons for thinking that the foundational computational complexity of our universe is finite. I discuss the emergence of an ordered complexity hierarchy of levels of objects over the foundational level and I show how the special (...)
    Remove from this list | Direct download  
     
    My bibliography  
     
    Export citation  
  11. Franck Varenne (2013). Chains of Reference in Computer Simulations. FMSH Working Papers 51:1-32.
    This paper proposes an extensionalist analysis of computer simulations (CSs). It puts the emphasis not on languages nor on models, but on symbols, on their extensions, and on their various ways of referring. It shows that chains of reference of symbols in CSs are multiple and of different kinds. As they are distinct and diverse, these chains enable different kinds of remoteness of reference and different kinds of validation for CSs. Although some methodological papers have already underlined the role of (...)
    Remove from this list | Direct download  
     
    My bibliography  
     
    Export citation  
  12. Douglas B. Vogt (1977/1978). Reality Revealed: The Theory of Multidimensional Reality. Vector Associates.
    Remove from this list |
     
    My bibliography  
     
    Export citation