1.1 --- /dev/null	Thu Jan 01 00:00:00 1970 +0000
     1.2 +++ b/org/ai-journal-review.org	Tue Apr 16 03:19:13 2013 +0000
     1.3 @@ -0,0 +1,618 @@
     1.4 +#+title:Interesting Papers in Artificial Intelligence
     1.5 +
     1.6 +* Interesting Concept
     1.7 +
     1.8 +Jordi Delgado - Emergence of social conventions in complex networks
     1.9 +
    1.10 +Marcelo A. Falappa, Gabriele Kern-Isberner, Guillermo R. Simari -
    1.11 +Explanations, belief revision and defeasible reasoning
    1.12 +
    1.13 +Claudio Bettini, X.Sean Wang, Sushil Jajodia - Solving
    1.14 +multi-granularity temporal constraint networks
    1.15 +
    1.16 +Alberto Maria Segre, Sean Forman, Giovanni Resta, Andrew Wildenberg -
    1.17 +Nagging: A scalable fault-tolerant paradigm for distributed search
    1.18 +
    1.19 +Fahiem Bacchus, Xinguang Chen, Peter van Beek, Toby Walsh - Binary
    1.20 +vs. non-binary constraints
    1.21 +
    1.22 +Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu -
    1.23 +Learning Bayesian networks from data: An information-theory based
    1.24 +approach
    1.25 +
    1.26 +Kurt Engesser, Dov M. Gabbay - Quantum logic, Hilbert space, revision
    1.27 +theory
    1.28 +
    1.29 +J.-D. Fouks, L. Signac - The problem of survival from an algorithmic
    1.30 +point of view
    1.31 +
    1.32 +Catherine Carr - The MIT Encyclopedia of the Cognitive Sciences,
    1.33 +edited by Robert Wilson and Frank Keil
    1.34 +
    1.35 +Tim Taylor - Christoph Adami, Introduction to Artificial Life
    1.36 +
    1.37 +Gary William Flake - G.W. Flake, The Computational Beauty of Nature
    1.38 +
    1.39 +A.S d'Avila Garcez, K Broda, D.M Gabbay - Symbolic knowledge
    1.40 +extraction from trained neural networks: A sound approach
    1.41 +
    1.42 +José Hernández-Orallo - Truth from Trash. How Learning Makes Sense by
    1.43 +Chris Thornton
    1.44 +
    1.45 +Fabio G. Cozman - Credal networks
    1.46 +
    1.47 +Aaron N. Kaplan, Lenhart K. Schubert - A computational model of belief
    1.48 +
    1.49 +Mike Perkowitz, Oren Etzioni - Towards adaptive Web sites: Conceptual
    1.50 +framework and case study
    1.51 +
    1.52 +Wilhelm Rödder - Conditional logic and the Principle of Entropy
    1.53 +
    1.54 +Christian Vilhelm, Pierre Ravaux, Daniel Calvelo, Alexandre Jaborska,
    1.55 +Marie-Christine Chambrin, Michel Boniface - Think!: A unified
    1.56 +numerical–symbolic knowledge representation scheme and reasoning
    1.57 +system
    1.58 +
    1.59 +Charles L. Ortiz Jr. - A commonsense language for reasoning about
    1.60 +causation and rational action
    1.61 +
    1.62 +Raúl E. Valdés-Pérez - Principles of human—computer collaboration for
    1.63 +knowledge discovery in science
    1.64 +
    1.65 +Paul Snow - The vulnerability of the transferable belief model to
    1.66 +Dutch books
    1.67 +
    1.68 +Simon Kasif, Steven Salzberg, David Waltz, John Rachlin, David W. Aha
    1.69 +- A probabilistic framework for memory-based reasoning
    1.70 +
    1.71 +Geoffrey LaForte, Patrick J. Hayes, Kenneth M. Ford - Why Gödel's
    1.72 +theorem cannot refute computationalism
    1.73 +
    1.74 +Hiroshi Motoda, Kenichi Yoshida - Machine learning techniques to make
    1.75 +computers easier to use
    1.76 +
    1.77 +Aravind K. Joshi - Role of constrained computational systems in
    1.78 +natural language processing
    1.79 +
    1.80 +Moshe Tennenholtz - On stable social laws and qualitative equilibria
    1.81 +
    1.82 +Michael Arbib - The metaphorical brains
    1.83 +
    1.84 +Andrew Gelsey, Mark Schwabacher, Don Smith - Using modeling knowledge
    1.85 +to guide design space search
    1.86 +
    1.87 +Márk Jelasity, József Dombi - GAS, a concept on modeling species in
    1.88 +genetic algorithms
    1.89 +
    1.90 +Randall H. Wilson - Geometric reasoning about assembly tools
    1.91 +
    1.92 +Kurt Ammon - An automatic proof of Gödel's incompleteness theorem
    1.93 +
    1.94 +Shmuel Onn, Moshe Tennenholtz - Determination of social laws for
    1.95 +multi-agent mobilization
    1.96 +
    1.97 +Yoav Shoham, Moshe Tennenholtz - On the emergence of social
    1.98 +conventions: modeling, analysis, and simulations
    1.99 +
   1.100 +Stuart J. Russell - Rationality and intelligence
   1.101 +
   1.102 +Hidde de Jong, Arie Rip - The computer revolution in science: steps
   1.103 +towards the realization of computer-supported discovery environments
   1.104 +
   1.105 +Adnan Darwiche, Judea Pearl - On the logic of iterated belief revision
   1.106 +
   1.107 +R.C. Holte, T. Mkadmi, R.M. Zimmer, A.J. MacDonald - Speeding up
   1.108 +problem solving by abstraction: a graph oriented approach
   1.109 +
   1.110 +R. Holte, T. Mkadmi, R.M. Zimmer, A.J. McDonald - Speeding up problem
   1.111 +solving by abstraction: a graph oriented approach
   1.112 +
   1.113 +Raúl E. Valdés-Pérez - A new theorem in particle physics enabled by
   1.114 +machine discovery
   1.115 +
   1.116 +Dan Roth - On the hardness of approximate reasoning
   1.117 +
   1.118 +Bart Selman, David G. Mitchell, Hector J. Levesque - Generating hard
   1.119 +satisfiability problems
   1.120 +
   1.121 +Herbert A. Simon - Artificial intelligence: an empirical science
   1.122 +
   1.123 +John K. Tsotsos - Behaviorist intelligence and the scaling problem
   1.124 +
   1.125 +Shigeki Goto, Hisao Nojima - Equilibrium analysis of the distribution
   1.126 +of information in human society
   1.127 +
   1.128 +Raúl E. Valdés-Pérez - Machine discovery in chemistry: new results
   1.129 +
   1.130 +Stephen W. Smoliar - Artificial life: Christopher G. Langton, ed.
   1.131 +
   1.132 +Yoav Shoham, Moshe Tennenholtz - On social laws for artificial agent
   1.133 +societies: off-line design
   1.134 +
   1.135 +Barbara Hayes-Roth - An architecture for adaptive intelligent systems
   1.136 +
   1.137 +Bruce Randall Donald - On information invariants in robotics
   1.138 +
   1.139 +Ian P. Gent, Toby Walsh - Easy problems are sometimes hard
   1.140 +
   1.141 +Tad Hogg, Colin P. Williams - The hardest constraint problems: A
   1.142 +double phase transition
   1.143 +
   1.144 +Yoram Moses, Yoav Shoham - Belief as defeasible knowledge
   1.145 +
   1.146 +Donald Michie - Turing's test and conscious thought
   1.147 +
   1.148 +John McDermott - R1 (“XCON”) at age 12: lessons from an elementary
   1.149 +school achiever
   1.150 +
   1.151 +Takeo Kanade - From a real chair to a negative chair
   1.152 +
   1.153 +Berthold K.P. Horn, B.G. Schunck - “Determining optical flow”: a
   1.154 +retrospective
   1.155 +
   1.156 +Harry G. Barrow, J.M. Tenenbaum - Retrospective on “Interpreting line
   1.157 +drawings as three-dimensional surfaces”
   1.158 +
   1.159 +Judea Pearl - Belief networks revisited
   1.160 +
   1.161 +Glenn A. Kramer - A geometric constraint engine
   1.162 +
   1.163 +Fausto Giunchiglia, Toby Walsh - A theory of abstraction
   1.164 +
   1.165 +John L. Pollock - How to reason defeasibly
   1.166 +
   1.167 +Aaron Sloman - The emperor's real mind: Review of Roger Penrose's the
   1.168 +emperor's new mind: Concerning computers, minds and the laws of
   1.169 +physics
   1.170 +
   1.171 +Olivier Dordan - Mathematical problems arising in qualitative
   1.172 +simulation of a differential equation
   1.173 +
   1.174 +Eric Saund - Putting knowledge into a visual shape representation
   1.175 +
   1.176 +Michael Freund, Daniel Lehmann, Paul Morris - Rationality,
   1.177 +transitivity, and contraposition
   1.178 +
   1.179 +Anthony S. Maida - Maintaining mental models of agents who have
   1.180 +existential misconceptions
   1.181 +
   1.182 +Henry A. Kautz, Bart Selman - Hard problems for simple default logics
   1.183 +
   1.184 +Mark J. Stefik, Stephen Smoliar - Four reviews of The Society of Mind
   1.185 +and a response
   1.186 +
   1.187 +Michael G. Dyer - A society of ideas on cognition: Review of Marvin
   1.188 +Minsky's The Society of Mind
   1.189 +
   1.190 +Matthew Ginsberg - The society of mind: Marvin Minsky
   1.191 +
   1.192 +George N. Reeke Jr - The society of mind: Marvin Minsky
   1.193 +
   1.194 +Stephen W. Smoliar - The society of mind: Marvin Minsky
   1.195 +
   1.196 +Marvin Minsky - Society of mind: A response to four reviews
   1.197 +
   1.198 +Stephen W. Smoliar - How to build a person: A prolegomenon: John
   1.199 +Pollock
   1.200 +
   1.201 +David Makinson, Karl Schlechta - Floating conclusions and zombie
   1.202 +paths: Two deep difficulties in the “directly skeptical” approach to
   1.203 +defeasible inheritance nets
   1.204 +
   1.205 +Donald A. Norman - Approaches to the study of intelligence
   1.206 +
   1.207 +Rodney A. Brooks - Intelligence without representation
   1.208 +
   1.209 +David Kirsh - Today the earwig, tomorrow man?
   1.210 +
   1.211 +Douglas B. Lenat, Edward A. Feigenbaum - On the thresholds of
   1.212 +knowledge
   1.213 +
   1.214 +Jordan B. Pollack - Recursive distributed representations
   1.215 +
   1.216 +R. Bhaskar, Anil Nigam - Qualitative physics using dimensional
   1.217 +analysis
   1.218 +
   1.219 +Don F. Beal - A generalised quiescence search algorithm
   1.220 +
   1.221 +Kai-Fu Lee, Sanjoy Mahajan - The development of a world class Othello
   1.222 +program
   1.223 +
   1.224 +Helmut Horacek - Reasoning with uncertainty in computer chess
   1.225 +
   1.226 +Jeff Shrager - Induction: Process of inference, learning and
   1.227 +discovery: John H. Holland, Keith J. Holyoak, Richard E. Nisbett, and
   1.228 +Paul R. Thagard (MIT Press, Cambridge, MA, 1986); 355 pages
   1.229 +
   1.230 +Daniel S. Weld - The psychology of everyday things: Donald A. Norman,
   1.231 +(Basic Books, New York, 1988); 257 pages, $19.95
   1.232 +
   1.233 +John R. Anderson - A theory of the origins of human knowledge
   1.234 +
   1.235 +G. Tesauro, T.J. Sejnowski - A parallel network that learns to play
   1.236 +backgammon
   1.237 +
   1.238 +G. Priest - Reasoning about truth
   1.239 +
   1.240 +Donald Perlis - Truth and meaning
   1.241 +
   1.242 +Daniel S. Weld - Women, fire, and dangerous things: George Lakoff,
   1.243 +(University of Chicago Press, Chicago, IL, 1987); 614 pages, $29.95
   1.244 +
   1.245 +Mark J. Stefik - On book reviews policy and process
   1.246 +
   1.247 +Robert K. Lindsay - The science of the mind: Owen J. Flanagan, Jr.,
   1.248 +(MIT Press, Cambridge, MA, 1984); 290 pages
   1.249 +
   1.250 +Sheila Rock - On machine intelligence: Donald Michie, 2nd ed. (Ellis
   1.251 +Horwood, Chichester, United Kingdom, 1986); 265 pages, £29.95
   1.252 +
   1.253 +Stephen W. Smoliar - Epistemology and cognition: A.I. Goldman,
   1.254 +(Harvard University Press, Cambridge, MA, 1986); ix + 437 pages,
   1.255 +$27.50
   1.256 +
   1.257 +David Elliot Shaw - On the range of applicability of an artificial
   1.258 +intelligence machine
   1.259 +
   1.260 +Michael Gordon - Machine intelligence and related topics: An
   1.261 +information scientist's weekend book: Donald Michie, (Gordon and
   1.262 +Breach, New York, 1982); 328 pages, $57.75
   1.263 +
   1.264 +Ryszard S. Michalski, Patrick H. Winston - Variable precision logic
   1.265 +
   1.266 +Martin Herman, Takeo Kanade - Incremental reconstruction of 3D scenes
   1.267 +from multiple, complex images
   1.268 +
   1.269 +vision : June 8–11, 1987, London, United Kingdom
   1.270 +
   1.271 +André Vellino - Artificial intelligence: The very idea: J. Haugeland,
   1.272 +(MIT Press, Cambridge, MA, 1985); 287 pp.
   1.273 +
   1.274 +Judea Pearl - Fusion, propagation, and structuring in belief networks
   1.275 +
   1.276 +Daniel G. Bobrow - Scientific debate
   1.277 +
   1.278 +Mark Stefik - The AI business: Commercial uses of artificial
   1.279 +intelligence: P.H. Winston and K.A. Prendergast, (MIT Press,
   1.280 +Cambridge, MA 1984); 324 pages, $15.95
   1.281 +
   1.282 +Hans Berliner, Carl Ebeling - The SUPREM architecture: A new
   1.283 +intelligent paradigm
   1.284 +
   1.285 +Donna Reese - Artificial intelligence: P.H. Winston, (Addison-Wesley,
   1.286 +Reading, MA, 2nd ed., 1984); 527 pages
   1.287 +
   1.288 +Kenneth D. Forbus - Structure and interpretation of computer programs:
   1.289 +H. Abelson and G.J. Sussman with J. Sussman, (MIT, Cambridge, 1985);
   1.290 +503 pages
   1.291 +
   1.292 +Chia-Hoang Lee, Azriel Rosenfeld - Improved methods of estimating
   1.293 +shape from shading using the light source coordinate system
   1.294 +
   1.295 +Daniel G. Bobrow, Patrick J. Hayes - Artificial intelligence — Where
   1.296 +are we?
   1.297 +
   1.298 +Barbara J. Grosz - Natural-language processing
   1.299 +
   1.300 +Johan De Kleer - How circuits work
   1.301 +
   1.302 +G.D. Ritchie, F.K. Hanna - am: A case study in AI methodology
   1.303 +
   1.304 +Douglas B. Lenat, John Seely Brown - Why am and eurisko appear to work
   1.305 +
   1.306 +Elaine Kant - On the efficient synthesis of efficient programs
   1.307 +
   1.308 +Randall Davis, Reid G. Smith - Negotiation as a metaphor for
   1.309 +distributed problem solving
   1.310 +
   1.311 +Patrick H. Winston - Learning new principles from precedents and
   1.312 +exercises
   1.313 +
   1.314 +Paul S. Rosenbloom - A world-championship-level Othello program
   1.315 +
   1.316 +Tomas Lozano-Perez - Robotics
   1.317 +
   1.318 +Tom M. Mitchell - Generalization as search
   1.319 +
   1.320 +Dana S. Nau - The last player theorem
   1.321 +
   1.322 +Hans J. Berliner - Backgammon computer program beats world champion
   1.323 +
   1.324 +Gerald Jay Sussman, Guy Lewis Steele Jr. - Constraints—A language for
   1.325 +expressing almost-hierarchical descriptions
   1.326 +
   1.327 +Takeo Kanade - A theory of Origami world
   1.328 +
   1.329 +Ria Follett - Synthesising recursive functions with side effects
   1.330 +
   1.331 +John McCarthy - Circumscription—A form of non-monotonic reasoning
   1.332 +
   1.333 +Michael A. Bauer - Programming by examples
   1.334 +
   1.335 +Patrick H. Winston - Learning by creatifying transfer frames
   1.336 +
   1.337 +Alan Bundy - Will it reach the top? Prediction in the mechanics world
   1.338 +
   1.339 +Richard M. Stallman, Gerald J. Sussman - Forward reasoning and
   1.340 +dependency-directed backtracking in a system for computer-aided
   1.341 +circuit analysis
   1.342 +
   1.343 +D. Marr - Artificial intelligence—A personal view
   1.344 +
   1.345 +Berthold K.P. Horn - Understanding image intensities
   1.346 +
   1.347 +F. Malloy Brown - Doing arithmetic without diagrams
   1.348 +
   1.349 +Azriel Rosenfeld - The psychology of computer vision: Patrick Henry
   1.350 +Winston (ed.) McGraw-Hill, New York, 1975, vi+282 pages, $19.50
   1.351 +
   1.352 +R.C.T. Lee - On machine intelligence: D. Michie. Halstead Press, a
   1.353 +division of John Wiley & Sons, 1974.
   1.354 +
   1.355 +W.W. Bledsoe, Peter Bruell - A man-machine theorem-proving system
   1.356 +
   1.357 +Gary G. Hendrix - Modeling simultaneous actions and continuous
   1.358 +processes
   1.359 +
   1.360 +Yoshiaki Shirai - A context sensitive line finder for recognition of
   1.361 +polyhedra
   1.362 +
   1.363 +Kenneth Mark Colby, Franklin Dennis Hilf, Sylvia Weber, Helena C
   1.364 +Kraemer - Turing-like indistinguishability tests for the validation of
   1.365 +a computer simulation of paranoid processes
   1.366 +
   1.367 +Aaron Sloman - Interactions between philosophy and artificial
   1.368 +intelligence: The role of intuition and non-logical reasoning in
   1.369 +intelligence
   1.370 +
   1.371 +* Story related
   1.372 +
   1.373 +Charles B. Callaway, James C. Lester - Narrative prose generation
   1.374 +
   1.375 +Katja Markert, Udo Hahn - Understanding metonymies in discourse
   1.376 +
   1.377 +Kathleen R. McKeown, Steven K. Feiner, Mukesh Dalal, Shih-Fu Chang -
   1.378 +Generating multimedia briefings: coordinating language and
   1.379 +illustration
   1.380 +
   1.381 +Varol Akman - Formalizing common sense: Papers by John McCarthy:
   1.382 +V. Lifschitz, ed., (Ablex Publishing Corporation, Norwood, NJ, 1990);
   1.383 +vi+256 pages, hardback, ISBN 0-89391-535-1 (Library of Congress:
   1.384 +Q335.M38 1989)
   1.385 +
   1.386 +Akira Shimaya - Interpreting non-3-D line drawings
   1.387 +
   1.388 +Adam J. Grove - Naming and identity in epistemic logic part II: a
   1.389 +first-order logic for naming
   1.390 +
   1.391 +Luc Lismont, Philippe Mongin - A non-minimal but very weak
   1.392 +axiomatization of common belief
   1.393 +
   1.394 +on integration of natural language and vision processing
   1.395 +
   1.396 +Russell Greiner - Learning by understanding analogies
   1.397 +
   1.398 +* Review Articles
   1.399 +
   1.400 +H.Jaap van den Herik, Jos W.H.M. Uiterwijk, Jack van Rijswijck - Games
   1.401 +solved: Now and in the future
   1.402 +
   1.403 +Jonathan Schaeffer, H.Jaap van den Herik - Games, computers, and
   1.404 +artificial intelligence
   1.405 +
   1.406 +Peter A. Flach - On the state of the art in machine learning: A
   1.407 +personal review
   1.408 +
   1.409 +A.G. Cohn, D. Perlis - “Field Reviews”: A new style of review article
   1.410 +for Artificial Intelligence
   1.411 +
   1.412 +James Delgrande, Arvind Gupta, Tim Van Allen - A comparison of
   1.413 +point-based approaches to qualitative temporal reasoning
   1.414 +
   1.415 +Weixiong Zhang, Rina Dechter, Richard E. Korf - Heuristic search in
   1.416 +artificial intelligence
   1.417 +
   1.418 +Karen Sparck Jones - Information retrieval and artificial intelligence
   1.419 +
   1.420 +Wolfram Burgard, Armin B. Cremers, Dieter Fox, Dirk Hähnel, Gerhard
   1.421 +Lakemeyer, Dirk Schulz, Walter Steiner, Sebastian Thrun - Experiences
   1.422 +with an interactive museum tour-guide robot
   1.423 +
   1.424 +Minoru Asada, Hiroaki Kitano, Itsuki Noda, Manuela Veloso - RoboCup:
   1.425 +Today and tomorrow—What we have learned
   1.426 +
   1.427 +Margaret A. Boden - Creativity and artificial intelligence
   1.428 +
   1.429 +Daniel G. Bobrow, J.Michael Brady - Artificial Intelligence 40 years
   1.430 +later
   1.431 +
   1.432 +Fangzhen Lin, Hector J. Levesque - What robots can do: robot programs
   1.433 +and effective achievability
   1.434 +
   1.435 +Melanie Mitchell - L.D. Davis, handbook of genetic algorithms
   1.436 +
   1.437 +Russell Greiner, Adam J. Grove, Alexander Kogan - Knowing what doesn't
   1.438 +matter: exploiting the omission of irrelevant data
   1.439 +
   1.440 +W. Whitney, S. Rana, J. Dzubera, K.E. Mathias - Evaluating
   1.441 +evolutionary algorithms
   1.442 +
   1.443 +David S. Touretzky - Neural networks in artificial intelligence:
   1.444 +Matthew Zeidenberg
   1.445 +
   1.446 +Mark J. Stefik, Stephen W. Smoliar - The commonsense reviews
   1.447 +
   1.448 +Peter Szolovits, Stephen G. Pauker - Categorical and probabilistic
   1.449 +reasoning in medicine revisited
   1.450 +
   1.451 +Daniel G. Bobrow - Artificial intelligence in perspective: a
   1.452 +retrospective on fifty volumes of the Artificial Intelligence Journal
   1.453 +
   1.454 +David Kirsh - Foundations of AI: The big issues
   1.455 +
   1.456 +Hector J. Levesque - All I know: A study in autoepistemic logic
   1.457 +
   1.458 +J.T. Schwartz, M. Sharir - A survey of motion planning and related
   1.459 +geometric algorithms
   1.460 +
   1.461 +Larry S. Davis, Azriel Rosenfeld - Cooperating processes for low-level
   1.462 +vision: A survey
   1.463 +
   1.464 +Hans J. Berliner - A chronology of computer chess and its literature
   1.465 +
   1.466 +John McCarthy - Artificial intelligence: a paper symposium: Professor
   1.467 +Sir James Lighthill, FRS. Artificial Intelligence: A General
   1.468 +Survey. In: Science Research Council, 1973
   1.469 +* Cryo!
   1.470 +
   1.471 +Kenneth D. Forbus, Peter B. Whalley, John O. Everett, Leo Ureel, Mike
   1.472 +Brokowski, Julie Baher, Sven E. Kuehne - CyclePad: An articulate
   1.473 +virtual laboratory for engineering thermodynamics
   1.474 +
   1.475 +* Cortex related (sensory fusion / simulated worlds)
   1.476 +
   1.477 +Alfonso Gerevini, Jochen Renz - Combining topological and size
   1.478 +information for spatial reasoning
   1.479 +
   1.480 +John Slaney, Sylvie Thiébaux - Blocks World revisited
   1.481 +
   1.482 +Wai K. Yeap, Margaret E. Jefferies - Computing a representation of the
   1.483 +local environment
   1.484 +
   1.485 +R.P. Loui - On the origin of objects: B.C. Smith's MIT Press,
   1.486 +Cambridge, MA, 1996. $37.50 (cloth). $17.50 (paper). 440 pages. ISBN
   1.487 +0-262-69209-0
   1.488 +
   1.489 +Tze Yun Leong - Multiple perspective dynamic decision making
   1.490 +
   1.491 +Cristiano Castelfranchi - Modelling social action for AI agents
   1.492 +
   1.493 +Luc Steels - The origins of syntax in visually grounded robotic agents
   1.494 +
   1.495 +Sebastian Thrun - Learning metric-topological maps for indoor mobile
   1.496 +robot navigation
   1.497 +
   1.498 +John Haugeland - Body and world: a review of What Computers Still
   1.499 +Can't Do: A critique of artificial reason (Hubert L. Dreyfus): (MIT
   1.500 +Press, Cambridge, MA, 1992); liii + 354 pages, $13.95
   1.501 +
   1.502 +David J. Musliner, Edmund H. Durfee, Kang G. Shin - World modeling for
   1.503 +the dynamic construction of real-time control plans
   1.504 +
   1.505 +Jozsef A. Toth - Reasoning agents in a dynamic world: The frame
   1.506 +problem: Kenneth M. Ford and Patrick J. Hayes, eds., (JAI Press,
   1.507 +Greenwich, CT, 1991); 290+xiv pages
   1.508 +
   1.509 +Michael A. Arbib, Jim-Shih Liaw - Sensorimotor transformations in the
   1.510 +worlds of frogs and robots
   1.511 +
   1.512 +Ingemar J. Cox, John J. Leonard - Modeling a dynamic environment using
   1.513 +a Bayesian multiple hypothesis approach
   1.514 +
   1.515 +on integration of natural language and vision processing
   1.516 +
   1.517 +Demetri Terzopoulos, Andrew Witkin, Michael Kass - Constraints on
   1.518 +deformable models:Recovering 3D shape and nonrigid motion
   1.519 +
   1.520 +Bruce R. Donald - A search algorithm for motion planning with six
   1.521 +degrees of freedom
   1.522 +
   1.523 +Yorick Wilks - Making preferences more active
   1.524 +
   1.525 +* Vision Related
   1.526 +
   1.527 +Azriel Rosenfeld - B. Jähne, H. Haussecker, and P. Geissler, eds.,
   1.528 +Handbook of Computer Vision and Applications. 1. Sensors and
   1.529 +Imaging. 2. Signal Processing and Pattern Recognition. 3. Systems and
   1.530 +Applications
   1.531 +
   1.532 +Thomas F. Stahovich, Randall Davis, Howard Shrobe - Qualitative
   1.533 +rigid-body mechanics
   1.534 +
   1.535 +Tzachi Dar, Leo Joskowicz, Ehud Rivlin - Understanding mechanical
   1.536 +motion: From images to behaviors
   1.537 +
   1.538 +Minoru Asada, Eiji Uchibe, Koh Hosoda - Cooperative behavior
   1.539 +acquisition for mobile robots in dynamically changing real worlds via
   1.540 +vision-based reinforcement learning and development
   1.541 +
   1.542 +Thomas F. Stahovich, Randall Davis, Howard Shrobe - Generating
   1.543 +multiple new designs from a sketch
   1.544 +
   1.545 +Ernst D. Dickmanns - Vehicles capable of dynamic vision: a new breed
   1.546 +of technical beings?
   1.547 +
   1.548 +Thomas G. Dietterich, Richard H. Lathrop, Tomás Lozano-Pérez - Solving
   1.549 +the multiple instance problem with axis-parallel rectangles
   1.550 +
   1.551 +Rajesh P.N. Rao, Dana H. Ballard - An active vision architecture based
   1.552 +on iconic representations
   1.553 +
   1.554 +John K. Tsotsos, Scan M. Culhane, Winky Yan Kei Wai, Yuzhong Lai, Neal
   1.555 +Davis, Fernando Nuflo - Modeling visual attention via selective tuning
   1.556 +
   1.557 +Roger Mohr, Boubakeur Boufama, Pascal Brand - Understanding
   1.558 +positioning from multiple images
   1.559 +
   1.560 +Andrew Zisserman, David Forsyth, Joseph Mundy, Charlie Rothwell, Jane
   1.561 +Liu, Nic Pillow - 3D object recognition using invariance
   1.562 +
   1.563 +Naresh C. Gupta, Laveen N. Kanal - 3-D motion estimation from motion
   1.564 +field
   1.565 +
   1.566 +Damian M. Lyons - Vision, instruction, and action: David Chapman, (MIT
   1.567 +Press Cambridge, MA, 1991); 295 pages, $35.00, (paperback)
   1.568 +
   1.569 +Yoshinori Suganuma - Learning structures of visual patterns from
   1.570 +single instances
   1.571 +
   1.572 +Dana H. Ballard - Animate vision
   1.573 +
   1.574 +Raymond Reiter, Alan K. Mackworth - A logical framework for depiction
   1.575 +and image interpretation
   1.576 +
   1.577 +Ellen Lowenfeld Walker, Martin Herman - Geometric reasoning for
   1.578 +constructing 3D scene descriptions from images
   1.579 +
   1.580 +Michele Barry, David Cyrluk, Deepak Kapur, Joseph Mundy, Van-Duc
   1.581 +Nguyen - A multi-level geometric reasoning system for vision
   1.582 +
   1.583 +Alex P. Pentland - Shading into texture
   1.584 +
   1.585 +Brady - Parallelism in Vision
   1.586 +
   1.587 +Jon A. Webb, J.K. Aggarwal - Structure from motion of rigid and
   1.588 +jointed objects
   1.589 +
   1.590 +Michael Brady - Computer vision
   1.591 +
   1.592 +Takeo Kanade - Recovery of the three-dimensional shape of an object
   1.593 +from a single view
   1.594 +
   1.595 +Rodney A. Brooks - Symbolic reasoning among 3-D models and 2-D images
   1.596 +
   1.597 +H.K. Nishihara - Intensity, visible-surface, and volumetric
   1.598 +representations
   1.599 +
   1.600 +Thomas O. Binford - Inferring surfaces from images
   1.601 +
   1.602 +Larry S. Davis, Azriel Rosenfeld - Cooperating processes for low-level
   1.603 +vision: A survey
   1.604 +
   1.605 +Berthold K.P. Horn, Brian G. Schunck - Determining optical flow
   1.606 +
   1.607 +Katsushi Ikeuchi, Berthold K.P. Horn - Numerical shape from shading
   1.608 +and occluding boundaries
   1.609 +
   1.610 +Andrew P. Witkin - Recovering surface shape and orientation from
   1.611 +texture
   1.612 +
   1.613 +Irwin Sobel - On calibrating computer controlled cameras for
   1.614 +perceiving 3-D scenes
   1.615 +
   1.616 +P.M. Will, K.S. Pennington - Grid coding: A preprocessing technique
   1.617 +for robot and machine vision
   1.618 +
   1.619 +M.B. Clowes - On seeing things
   1.620 +
   1.621 +Claude R. Brice, Claude L. Fennema - Scene analysis using regions