Dretske, F. I. (1981). Knowledge and the Flow of Information. MIT Press, Cambridge, MA. Home/Search Document Not in Database Summary Related Articles Check |
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Computational Situation Theory - Tin, Akman (1994) (Correct)
....by a lack of availability of appropriate technical tools. But by now, the theory has assembled its mathematical foundations based on intuitions basically coming from set theory and logic [1, 8, 23, 25] With a remarkably original view of information (which is fully adapted by situation theory) [27, 28], a logic, based not on truth but on information, is being developed [24] This logic will probably be an extension of first order logic [5] rather than being an alternative to it. Individuals, properties, relations, spatio tempo ral locations, and situations are basic constructs of ....
....locations. The meaning of is a relation defined not only over d, c, and e, but also over oe. 3 Situations: A Computational Perspective Intelligent agents generally make their way in the world by being able to pick up certain information from a situation, process it, and react accordingly [24, 27, 28, 36]. Being in a (mental) situation, such an agent has information about situations it sees, believes in, hears about, etc. Alice, for example, upon hearing an utterance of A bear is running towards you, would have the information, by relying on the utterance situation, that her friend is the ....
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F. Dretske. Knowledge and the Flow of Information, Cambridge, Mass.: MIT Press, 1981.
A Knowledge based semantics of messages - Parikh, Ramanujam (2003) (1 citation) (Correct)
....happily also yields finite transition systems for individual agents, thus demonstrating bounded memory intensional protocols. But then, in these systems, the agents know which run they are involved in, which is a very unrealistic assumption. 4 The amount of information in a message Dretske [D] makes a convincing case that a signal (single symbol or a string) that may take one of n values can contain, on the average, at most log(n) bits of information and cannot be used to distinguish between more than n possibilities. However, Dretske s arguments apply only to a very special situation ....
F. Dretske, Knowledge and the flow of information, MIT Press, 1981.
On the Logic of Information Flow - Jon Barwise Dov (1995) (6 citations) (Correct)
....tell about other elements of the chain The simplest case of this is a chain of length 1, s ; t. If we know that s is of such and such a type and that c is of such and such a type, what can we tell about t There is a natural intuition that is captured in Dretske s famous Xerox Principle in [16]: If s being of type A carries the information that r is of type B and r being of type B carries the information that t is of type C then s being of type A carries the information that t is of type C. On our account, the reason for this intuition is that the connection s ; r that allows the ....
F. Dretske (1981), Knowledge and the Flow of Information, Cambridge: Bradford Books, MIT Press.
On Channels between Knowledge and Objective Worlds - Makoto Kikuchi And (Correct)
....of channels as interfaces between agents and objective worlds in Section 5. 2 Classifications ChannelTheory is a mathematicaltheory of information flow proposed by Barwise and Seligman in [1] Thetheory is inspired by a philosophical disc ssion abo t information flow by Dretske [2]. A classification is a basic mathematical str ct re in ChannelTheory which consists of the two sets and abinary relation between them. Definition 2.1. A classification is a triple A = #tok(A) ty p(A) # # where = # is abinary relation between two sets tok(A) and ty#Y A) ty#Y ....
Dretske, F., Knowledge and the Flow of Information. MIT Press,
Mining Visual Concepts for Image Retrieval: A Case Study - Deng (2001) (Correct)
....as unique, we would be overwhelmed by the sheer diversity of what we experience, which means nothing but chaos in our mental life. This also applies in the context of image retrieval, in a sense that the diversity space of visual features or templates needs to be categorised. In his seminal work [6], Dretske gave two scenarios of concept learning, taking the concept of robin as an example. The concept of robin can be acquired in such a way: a robin is a bird with the distinctive markings and silhouette illustrated in this picture. Such a case requires the concept of bird as its ingredient, ....
F.I. Dretske, Knowledge and the flow of information, Oxford: Blackwell, 1981.
Concepts, Introspection, and Phenomenal Consciousness: An.. - Aydede (1999) (Correct)
....of Philosophy 201 West Duke Building Box 90743 Durham, NC 27708 guven duke.edu ABSTRACT. This essay is a sustained information theoretic attempt to bring new light on some of the perennial problems in the philosophy of mind surrounding phenomenal consciousness and introspection. Following Dretske (1981), we present and develop an informational psychosemantics as it applies to what we call sensory concepts, concepts that apply, roughly, to so called secondary qualities of objects. We show that these concepts have a special informational character and semantic structure that closely tie them to ....
....properties and phenomenal concepts. 2001: 86) In this essay, we try to provide both and more. This work is a sustained informationtheoretic attempt to bring new light on some of the perennial problems in the philosophy of mind surrounding phenomenal consciousness and introspection. Following Dretske (1981), we present and develop an informational psychosemantics as it applies to what we call sensory concepts, concepts that apply, roughly, to so called secondary qualities of objects. We show that these concepts have a special informational character and semantic structure that tie them closely to ....
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Dretske, Fred (1981). Knowledge and the Flow of Information, Cambridge, MA: MIT Press.
Why Meaning (Probably) Isn't Conceptual Role's - Fodor, Lepore (Correct)
....claim that the meaning of brown cow is compositional while denying that the inference from brown cow to brown is analytically valid. If it is undeniable that the meaning of brown cow is constructed from the There are causal theories of meaning around; see, for example, Skinner (1957) Dretske (1981) and Fodor (1991) among many others. And each of them implies a corresponding notion of analyticity. But all these theories are externalist and atomist and thus offer no comfort either to New Testament Semantics or to holism. They don t legitimate a construal of meaning in terms of analytic ....
Dretske, F. 1981: Knowledge and the Flow of Information. Cambridge, MA.: MIT Press.
Negotiating a Multidimensional Framework for Relevance Space - Gabrielli, Mizzaro (1999) (1 citation) (Correct)
.... objective way) includes the well known Shannon s information theory [30] the Algorithmic Information Theory, independently developed by Chaitin, Kolmogorov, and Solomonoff [20] and the Semantic Information Theory introduced by Bar Hillel, Carnap, and Popper [17] and further developed by Dretske [12], Barwise and Perry [2] and Devlin [10] Besides these hard sciences information theories there are others, perhaps less known, soft sciences approaches (in which information is usually defined in a subjective way) Bateson defined information as a difference [3, 4] Brookes proposed that ....
F. Dretske. Knowledge and the Flow of Information. Bradford Books, MIT Press, 1981.
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Dretske, F.I. (1981), Knowledge and the Flow of Information, MIT Press, Cambridge Massachusetts.
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Dretske, F.I. (1981), Knowledge and the Flow of Information, MIT Press, Cambridge Massachusetts. 27
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Dretske, Fred: (1982) Knowledge and the Flow of Information, MIT Press, Cambridge
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