Minsky, M., 1965. Matter, mind, and models, Proc. of the IFIP Congress, 45-49. Reprinted in M. Minsky (ed.), Semantic Information Processing, MIT Press, Cambridge, (1965), 425-432.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....language proposals because there has been little work in AI, or elsewhere, on the 2 The emphasis on expert is not ironic or is it See below. 3 It is not at all surprising that one of the earlier collections of papers on AI research was the influential Semantic Information Processing [27]. 4 concept of representation itself, although Hayes [14] and Sloman [37] have made illuminating comments) deal, ultimately, with truth. As in logic, the foundational idea is to determine when a sentence of a formal language is true: that is, in the present context, when a sentence or expression ....

Minsky, M.L. (ed.), Semantic Information Processing, MIT Press, Cambridge, MA, 1968.

....of Squeal to other database interfaces to the Web appears in the conclusion, after Squeal has been more fully described. 1.3.1 Semantic networks The precursors of this work hearken all the way back to the nineteen sixties. Treating the Web as a knowledge base is reminiscent of semantic networks [31, 26], graphs whose nodes represent concepts or entities and whose arcs represent the relations among them. In the seventies and eighties, Woods [46] and Trigg [43] improved on the model by distinguishing among di#erent types of relations between nodes, also applicable to the Web. 1.3.2 Structure ....

Marvin Minsky, editor. Semantic Information Processing. MIT Press, Cambridge, MA, 1968.

....collection of states of partial knowledge, and therefore exhibit flexible, common sense behavior. Name and Title of Thesis Supervisor: Marvin Minsky, Donner Professor of Science in the Electrical Engineering and Computer Science Department. ii ACKNOWLEDGEMENTS I would like to thank Marvin Minsky, my thesis advisor, for the inspiration, ideas, and advice he provided during this project. He, Seymour Papert, and Carl Hewitt acted as the perfect thesis committee for me. I am also very grateful to Dan Bobrow for suggesting this problem. A number of people read early reports of this research and ....

Minsky, M. 1968. Semantic Information Processing. Cambridge: MIT Press.

....without representation Rodney A. Brooks MIT Artificial Intelligence Laboratory, 545 Technology Square, Rm. 836, Cambridge, MA 02139, USA Received September 1987 Brooks, R.A. Intelligence without representation, Artificial Intelligence 47 (1991) 139 159. This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the research is provided in part ....

....without representation Rodney A. Brooks MIT Artificial Intelligence Laboratory, 545 Technology Square, Rm. 836, Cambridge, MA 02139, USA Received September 1987 Brooks, R.A. Intelligence without representation, Artificial Intelligence 47 (1991) 139 159. This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the research is provided in part by an IBM Faculty 9 ....

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M.L. Minsky, ed., Semantic Information Processing (MIT Press, Cambridge, MA, 1968).

....the source domain and must be re described to be like the source domain. Clearly the description module assumption cannot be made in modeling creative metaphor. O Hara (1992; forthcoming) has been developing a model of re description in the context of geometric proportional analogies inspired by Indurkhya (1989; 1991; 1992) The solution of geometric proportional analogies were also modeled by Evans (1968) Evans did not attempt to integrate the mapping and description building processes as we do here. The description module assumption appears in a slightly different guise in the selection of indices ....

In Minsky, M., ed., Semantic Information Processing. Cambridge, MA.: MIT Press. chapter 5, 271--353. Hall, R. P. 1989. Computational approaches to analogical reasoning: A comparative analysis. Artificial intelligence 39:39--120.

.... organised in a network of nodes and relations, where the topmost node represent general concepts and the lower nodes which represent specific instances (the specialisation of the general concept) A frame is a knowledge representation formalism based on the idea of a frame of reference (Minsky 1968, 1975) A frame carries with it a set of slots that can represent objects that are normally associated with a subject of the frame. The slots can Pointer RESEARCH ISSUES IN TERMINOLOGY 18 then point to other slots or frames. That gives frame systems the ability to carry out inheritance and ....

Minsky, Marvin (Ed.). (1968). Semantic Information Processing. Cambridge (MASS.): The MIT Press.

....specialists and domain experts for representing bodies of general geographic knowledge. The GeoRef thesaurus, for example, contains about 27,000 geographic terms and place names. Such existing knowledge sources resemble the symbolic semantic network representation developed by AI researchers [32]. Conceptual subject descriptors of place names and geographic phenomena can be represented as nodes in a network and their symbolic relationships (often in terms of hierarchical broader term, narrower term, and related term relationships) are represented as directed links between nodes. ....

....reasoning methods may be needed to intelligently suggest a small portion of the relevant knowledge to the user. For semantic network and neural network representations, spreading activation, which is a well known memory recall process [1] appears to be well suited for the reasoning task [32]. Several information systems researchers have developed symbolic, heuristic based spreading activation methods for information retrieval systems and digital libraries [11] 3] More recently, we have adopted the serial branch and bound search algorithm and the parallel Hopfield network activation ....

M. Minsky. Semantic Information Processing. The MIT Press, Cambridge, MA, 1968.

....An early paper by (Shannon 1950) on AI and chess and the collection of papers by (Feigenbaum Feldman 1963) give a good picture of developments in this early era. Developments in the late sixties and throughout the 1970 s concentrated on the task of making machines understand natural language. (Minsky 1968) contains useful references to papers representative of work carried out in the early part of this era and (Winston 1975) contains useful references CHAPTER 2. CONVENTIONAL AI TECHNIQUES 14 to the later work. Winston Brown 1979) summarises much of the work done on language processing, ....

Minsky, M. (1968), Semantic Information Processing, MIT Press, Cambridge Mass., USA.

....explicit rules to logically formalized knowledge or do they reason by example This problem has been widely investigated by cognitive psychologists, and psychological experiments have provided evidence for both modes of reasoning. For instance, Cherniak [ Cherniak, 1984 ] and Medin and Ross [ Medin and Ross, 1989 ] found support for their thesis that people reason using information directly extracted from examples models in an experiment clearly exhibiting retrieval of examples and the subsequent use of these examples for analogical reasoning. In addition, the importance of typical examples in reasoning ....

....representations mixed with the traditional deductive approach. To wit: ffl Model based methods in theorem proving rely on hybrid representations. Typical approaches include model construction methods [ Slaney and Lusk, 1992 ] model checking [ Halpern and Vardi, 1991 ] vivid reasoning [ Etherington et al. 1989 ] and the various methods of representing a model in the form of a diagram in geometry theorem proving [ Gelernter, 1959 ] ffl Recently, diagrams have become important again as a representational medium, and the manipulating of diagrams [ Myers and Konolige, 1992 ] or depictions [ Latecki ....

In Marvin Minsky, editor, Semantic Information Processing, pages 403--418. MIT Press, Cambridge, Massachusetts. Medin, D.L. and Ross, B.H.: 1989, The specific character of abstract thought: Categorization, problem solving, and induction. In R.J. Sternberg, editor, Advances in the Psychology of human intelligence, volume 5. Erlbaum.

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Minsky, M., 1965. Matter, mind, and models, Proc. of the IFIP Congress, 45-49. Reprinted in M. Minsky (ed.), Semantic Information Processing, MIT Press, Cambridge, (1965), 425-432.

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Marvin Minsky, editor. Semantic information processing. MIT Press, 1968.

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Minsky, M., "Semantic Information Processing", Cambridge, MA: MIT Press, 1968.

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In M. Minsky (Ed.), Semantic Information Processing. Cambridge, MA: MIT Press. Norman, D. A., Bobrow D. G. (1975). On datalimited and resource-limited processes. Cognitive Psychology 7,44-64.

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M. Minsky, editor. Semantic Information Processing. MIT Press, Cambridge, MA, 1968.

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Marvin Minsky ed., "Semantic Information Processing", M.I.T. Press, pp. 25-26, 1968.

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Minsky, M. Semantic Information Processing, Cambridge: MIT Press, 1968.

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Marvin Minsky (Editor), "Semantic Information Processing," The MIT Press, 1968.

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Marvin Minsky ed., "Semantic Information Processing", M.I.T. Press, pp. 25-26, 1968.

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