Laws@SRI-AI.ARPA@sri-unix.UUCP (08/09/83)
From: Ken Laws <Laws@SRI-AI.ARPA> Ballard, B.W. Lusth, J.C.*An English-language processing system which 'learns' about new domains.* Duke U. Comp.Sci.Dept.,CS-1982-18,1982. Barr, A.* Artificial intelligence: cognition as computation.* Stanford U. Comp.Sci.Dept.*STAN-CS-82-956; Stanford U. Comp.Sci.Dept. Heuristic Programming Project.* HPP-82-29.*1982. 28p. Black, J.B. Galambos, J.A. Reiser, B.J.*Coordinating discovery and verification research.* Yale U. Cognitive Science Program.*Tech.Rpt. 013.*1982. Black, J.B. Galambos, J.A. Read, S.* Story comprehension.* Yale U. Cognitive Science Program.*Tech.Rpt. 017.*1982. Black, J.B. Seifert, C.M.*The psychological study of story understanding.* Yale U. Cognitive Science Program.* Tech.Rpt. 018.*1982. Black, J.B. Wilkes-Gibbs, D. Gibbs, R.W. Jr.*What writers need to know that they don't know they need to know.* Yale U. Cognitive Science Program.*Tech.Rpt. 08.*1981. Bonar, J. Soloway, E.*Uncovering principles of novice programming.* Yale U. Comp.Sci.Dept.*Res.Rpt. 240.*1982. Carbonell, J.G.* Learning by analogy: formulating and generalizing plans from past experience.* Carnegie Mellon U. Comp.Sci.Dept.*CMU-CS-82-126.*1982. Carroll, J.M. Mack, R.L.* Metaphor, computing systems, and active learning.* IBM Watson Res. Center.*RC 9636.*1982. schemes.* IBM Watson Res. Center.*RJ 3645.*1982. Cohen, P.R.*Models of cognition (Chapter XI of Volume III of the Handbook of Artificial Intelligence, edited by Paul R. Cohen and Edward A. Feigenbaum).* Stanford U. Comp.Sci.Dept.*STAN-CS-82-936; Stanford U. Comp.Sci.Dept. Heuristic Programming Project.*HPP-82-018.*1982. 87p. Conrad, M.* Microscopic macroscopic interface in biological information processing.* Wayne State U. Comp.Sci.Dept.* CSC-83-003.*1983. Doyle, J.*The foundations of psychology: a logico-computational inquiry into the concept of mind.* Carnegie Mellon U. Comp.Sci.Dept.*CMU-CS-82-149.*1982. Dyer, M.G.*In-depth understanding: a computer model of integrated processing for narrative comprehension.* Yale U. Comp.Sci.Dept.*Res.Rpt. 219, Ph.D. Thesis. Dyer, M.G.* 1982. Ehrlich, K. Soloway, E.*An empirical investigation of the tacit plan knowledge in programming.* Yale U. Comp.Sci.Dept.*Res.Rpt. 236.*1982. Ericsson, K.A. Chase, W.G.* Exceptional memory.* Carnegie Mellon U. Psych.Dept.*Tech.Rpt. 08.*1982. Firdman, H.E.*Toward a theory of cognizing systems: the search for an integrated theory of AI.* Hewlett Packard Co. Comp.Sci.Lab.*CSL-82-007; Hewlett Packard Co. Comp.Res. Center.*CRC-TR-82-002.*1982. Galambos, J.A.*Normative studies of six characteristics of our knowledge of common activities.* Yale U. Cognitive Science Program.*Tech.Rpt. 014.*1982. Good, D.I.* Reusable problem domain theories.* Texas U. Computing Sci.Inst.*TR-031.*1982. Hollerbach, J.M.*Computers, brains, and the control of movement.* M.I.T. A.I. Lab.*Memo 686.*1982. Israel, D.J.*On interpreting semantic network formalisms.* Bolt, Beranek and Newman, Inc.*BBN rpt. 5117.*1982. Kampfner, R.R. Conrad, M.*Sequential behavior and stability properties of enzymatic neuron networks.* Wayne State U. Comp.Sci.Dept.*CSC-82-011.*1982. Lansner, A.* Information processing in a network of model neurons: a computer simulation study.* Royal Inst. of Tech., Stockholm. Num.Anal. & Computing Sci.Dept.* TRITA-NA-8211.*1982. Mather, J.A.* Saccadic eye movements to seen and unseen targets: preprogramming and sensory input in motor control.* Western Ontario U. Cognitive Science Centre.* COGMEM 10.*1982. Mitchell, T.M. Utgoff, P.E. Banerji, R.* Learning by experimentation: acquiring and modifying problem solving heuristics.* Rutgers U. Comp.Sci.Res.Lab.*LCSR-TR-31.* 1982. Poggio, T. Koch, C.*Nonlinear interactions in a dendritic tree: localization, timing, and role in information processing.* M.I.T. A.I. Lab.*Memo 657.*1981. Reiser, B.J. Black, J.B. Lehnert, W.G.* Thematic knowledge structures in the understanding and generation of narratives.* Yale U. Cognitive Science Program.* Tech.Rpt. 016.*1982. Richards, W. Nishihara, H.K. Dawson, B.* CARTOON: a biologically motivated edge detection algorithm.* M.I.T. A.I. Lab.*Memo 668.*1982. Schank, R.C. Burstein, M.*Modeling memory for language understanding.* Yale U. Comp.Sci.Dept.*Res.Rpt. 220.* 1982. Schank, R.C.*Representing meaning: an artificial intelligence perspective.* Yale U. Cognitive Science Program.*Tech.Rpt. 11.*1981. Seifert, C.M. Robertson, S.P.*On-line processing of pragmatic inferences.* Yale U. Cognitive Science Program.*Tech.Rpt. 015.*1982. Shwartz, S.P.*Three-dimensional mental rotation revisited: picture plane rotation is really faster than depth rotation.* Yale U. Cognitive Science Program.*Tech.Rpt. 09.*1981. Sidner, C.L.* Protocols of users manipulating visually presented information with natural language.* Bolt, Beranek and Newman, Inc.*BBN rpt. 5128.*1982. Smith, D.E.* FOCUSER: a strategic interaction paradigm for language acquisition.* Rutgers U. Comp.Sci.Res.Lab.* LCSR-TR-36, Ph.D. Thesis. Smith, D.E.*1982. Soloway, E. Bonar, J. Ehrlich, K.* Cognitive strategies and looping constructs: an empirical study.* Yale U. Comp.Sci.Dept.*Res.Rpt. 242.*1982. Soloway, E. Ehrlich, K. Bonar, J. Greenspan, J.*What do novices know about programming?* Yale U. Comp.Sci.Dept.* Res.Rpt. 218.*1982. Srinivasan, C.V.*Notes on object centered associative memory organization.* Rutgers U. Comp.Sci.Res.Lab.* LCSR-TR-19.*1981. Stabler, E.P. Jr.* Programs, rule governed behavior and grammars in theories of language acquisition and use.* Western Ontario U. Cognitive Science Centre.*COGMEM 07.* 1982. Utgoff, P.E.*Acquisition of appropriate bias for inductive concept learning.* Rutgers U. Comp.Sci.Res.Lab.* LCSR-TM-02.*1982.