Second generation expert systems
L Steels - Future Generation Computer Systems, 1985 - Elsevier
... A deep reasoning system would follow the causal connections starting from the headlights and
would eventually arrive at the switch to turn them on, but it would possibly check many other things
on the way or start wandering around in the causal network in directions that have ...
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Knowledge in context: A strategy for expert system maintenance
P Compton... - AI'88, 1990 - Springer
... to avoid corrupting existing knowledge while in comparison, tipple down rule addition has virtually
no effect on existing knowledge The knowledge in GARVAN-ES 1 is rather flat so we assume
changes to it have far less impact than with a deep reasoning system, so the contrast ...
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An integration of Case-Based and Model-Based Reasoning and its application to physical system faults
S Karamouzis... - ... Applications of Artificial Intelligence and Expert ..., 1992 - Springer
... First-principle or deep-reasoning systems use causal reasoning to produce explanations
for the set of symptoms [3]. These systems are more flexible, but are slower, since they
must derive each new diagnosis from the underlying model. ...
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Fuzzy logic approach in power system fault section identification
CS Chang, JM Chen, D Srinivasan... - ... and Distribution, IEE ..., 1997 - ieeexplore.ieee.org
Page 1. uzzy logic approach in power system fault section nt if ication CS Chang
JMChen D. Srinivasan F. S. We n AC Liew Indexing terms: Expert system, Fuzzy
sets, Uncertainties, Fault location Abstract: Great emphasis has ...
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Expert system and method employing hierarchical knowledge base, and interactive multimedia/hypermedia applications
A Hekmatpour - US Patent 5,644,686, 1997 - Google Patents
Page 1. United States Patent m Hekmatpour ¦¦lllllllllllllllllllllllll US005644686A
[li] Patent Number: [45] Date of Patent: 5,644,686 Jul. 1, 1997 [54] EXPERT SYSTEM
AND METHOD EMPLOYING HIERARCHICAL KNOWLEDGE ...
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Common fallacies about expert systems
J Liebowitz - ACM SIGCAS Computers and Society, 1987 - dl.acm.org
... research is needed to solve this limitation. 2.3 MYTH: Expertsystemsaredeep
reasoning systems. Most expert systems are shall reasoning systems, instead of
deep reasoning systems. For example, an expert system may be ...
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Large interactions of compiled and causal reasoning in diagnosis
WF Punch III - IEEE Expert, 1992 - ieeexplore.ieee.org
... 0 NE OF THE IMPORTANT DIVI- sions that has evolved in the field of knowl- edge-based systems
is between ''deep/ model-based/fundamental" systems and "shallow/compiled/empirical" systems.
Deep reasoning systems typically use knowledge of devices and their functions. ...
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Computer-based diagnostics for integrated manufacturing systems
JH Graham... - ... Integrated Manufacturing, 1990., ..., 1990 - ieeexplore.ieee.org
... TABLE 2 \Vork Cell. Operation States. VI. Summary and Conclusions This research has
attempted to develop a hybrid of the compiled and deep reasoning systems which seems
to better approximate the approach of expert human diagos- ticians. ...
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A Diagnostic System Blending Deep and Shallow Reasoning.
[PDF] from dtic.milJM Skinner - 1988 - DTIC Document
... 43 II Page 7. V. The Deep Reasoning System .. ... 44 ... ARecent research in expert systems has
emphasized the use of deep reasoning for diagnostics. A deep reasoning system diagnoses
faults by constructing a model of the UUT, relying on the principle of locality and ...
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[BOOK] Intelligent supervisory control: A qualitative bond graph reasoning approach
H Wang... - 1996 - books.google.com
Page 1. World Scientific Series in Robotics and Intelligent Systems - Vol. 14 INTELLIGENT
f SUPERVISORY CONTROi A Qualitative Bond Graph Reasoning Approach o HANG WANG
DEREK LINKENS 9 11 R5 C1 World Scientific Page 2. Page 3. Page 4. ...
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Survey of real-time and on-line diagnostic expert systems
D Foxvog... - Real Time Systems, 1991. Proceedings., ..., 1991 - ieeexplore.ieee.org
... Unforeseen Faults The limitation of first gencration systems to surface reasoning means that a
novcl problem could not be solved using a rule-based system. A deep reasoning system might
be able to rely on its knowledge of the structure of the situation to deal with this case. ...
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Legal Reasoning and Artificial Intelligence
EC Lashbrooke Jr - Loy. L. Rev., 1988 - HeinOnline
Page 1. LEGAL REASONING AND ARTIFICIAL INTELLIGENCE EC Lashbrooke, Jr.* I.
INTRODUCTION There have been a great many attempts to explain and quan- tify the legal
reasoning process. While each has its adherents, no one philosophy has proved satisfactory. ...
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Artificial decision-making and artificial ethics: A management concern
OEM Khalil - Journal of Business Ethics, 1993 - Springer
... 1) in decision-making situations, sometimes pre-defined objective criteria can be applied to a
task, but often human values must be applied and flexibility in decision-making is a necessity
(Weizen- baum, 1976); (2) the ability to have deep-reasoning systems where expert ...
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A diagnostic system blending deep and shallow reasoning(MS Thesis)
J SKINNER - 1988 - csa.com
... Recent research in expert systems has emphasized the use of deep reasoning for
diagnostics. A deep reasoning system diagnoses faults by constructing a model of
the UUT, relying on the principle of locality and causal reasoning. ...
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[HTML] Towards principled core ontologies
[HTML] from ucalgary.caA Valente... - Proceedings of the Tenth Workshop on ..., 1996 - ksi.cpsc.ucalgary.ca
... That is also the way many people outside (and even inside) AI think about the knowledge in and
understanding of a knowledge system when they look under its hood. There is a general `Eliza
effect' even in model-based, deep reasoning systems (see, eg, [Hofstadter, 1995]). ...
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Expert system and method employing hierarchical knowledge base, and interactive multimedia/hypermedia applications
A Hekmatpour - US Patent 5,870,768, 1999 - Google Patents
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Autonomous satellite architecture integrating deliberative reasoning and behavioural intelligence
CA Lindley - Telematics and Informatics, 1993 - Elsevier
... their performance. The aim is for the deep reasoning system to take over when the
shallow system gets into difficulty, and to allow the shallow system to resume when
the deep reasoning system has resolved the problem. The ...
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Expert system and method employing hierarchical knowledge base, and interactive multimedia/hypermedia applications
A Hekmatpour - US Patent 5,806,056, 1998 - Google Patents
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Design, Development, and Deployment of Expert Systems Within an Operational Accounting Environment
WE McCarthy, SR Rockwell... - Artificial Intelligence in ..., 1995 - books.google.com
... reasoning? Deep reasoning systems depend upon well-defined networks of causal
and temporal links between events or con- cepts in much the same way that a textbook
would rea- son from cause to effect in a scientific domain. ...
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The case of the fickle expert system
K Wieckert - ACM SIGCAS Computers and Society, 1990 - dl.acm.org
... This failure prompted Harry and David to abandon a "deep reasoning" system based on models
of the electrical theory underlying "what really goes on in the circuitry." Instead, they chose to
look directly at the practice of Vinny in order to carve out a piece for the expert system. ...
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If there is artificial intelligence? Is there such a thing as artificial stupidity
J Liebowitz - ACM SIGART Bulletin, 1989 - dl.acm.org
... These include: ability to possess and use common sense; development of deep reasoning systems;
ability to vary an expert system's explanation capability; ability to get expert systems to learn;
ability to have distributed expert systems; and ability to easily acquire and up- date ...
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An unsupervised method for the extraction of propositional information from text
[HTML] from pnas.orgS Dennis - Proceedings of the National Academy of ..., 2004 - National Acad Sciences
... Furthermore, the results of the most recent TREC question-answer competition suggest that
deep reasoning systems may now have reached a level of sophistication that allows them
to surpass the performance possible using surface-based approaches. ...
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Model-Based Reasoning in Electronic Repair
[PDF] from dtic.milKB Cohen - 1990 - DTIC Document
Page 1. .IC F;LE COPY SELECTE 'AN 0 81991 DEPARTMENT OF THE AIR FORCE - E Ai UN
N FR sfIT ' AIR FORCE INSTITUTE OF -TECHNOLOGY UTO W right-Potterson Air Force Base,
Ohic, kmp,----o e ptLic g gJ 1 \ 064 Page 2. AFIT/GCE/ENG/90D-08 ...
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Enhanced qualitative physical reasoning system: Qupras
M Ohki, K Sakane, J Sawamoto... - New generation computing, 1992 - Springer
... influences. However for the following reasons, the QPT framework may not be
suitable for a deep reasoning system based on physical laws in physical text- books,
because the physical laws are usually written in equations. ...
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An Integration of Case-Based and Model-Based Reasoning and its Application to Physical System Faultst
STKS Feyock - ... applications of artificial intelligence and expert ..., 1992 - books.google.com
... First-principle or deep-reasoning systems use causal reasoning to produce explanations
for the set of symptoms [3]. These systems are more flexible, but are slower, since they
must derive each new diagnosis from the underlying model. ...
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Automating diagnosis at the communication structure level [expert systems]
K Ramakrishna - ... , 1988. ICC'88. Digital Technology-Spanning ..., 1988 - ieeexplore.ieee.org
... It is an intermediate level between the level at which current expert systems are designed
(using knowledge acquired from experts) and the level at which "deep reasoning"
systems perform (based on knowledge of structure, function. ...
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[CITATION] Classification: Social Sciences, Psychology Title: An Unsupervised Method for the Extraction of Propositional Information from Text
S Dennis
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Qualitative theory of robot grasping-A formalisation ofintuitive'robot grasping
SP Ananthanarayanan... - Intelligent Control, ..., 1990 - ieeexplore.ieee.org
... problem differ according to the task, object and the hand. Therefore, a 'deep reasoning'
system is required for Robot Grasping, that can reason from first principles. The
analytical models available in this domain, provide reasoning ...
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Multiple representations for adaptive planning: concepts and benefits
CF Layton, PJ Smith, CE McCoy... - Systems, Man, and ..., 1991 - ieeexplore.ieee.org
... One approach to alleviating such concerns is to try to build better computerized problem-solvers.
Current work on "deep reasoning" systems and qualitative modeling falls into ths tradition. An
alternative (but complementary) approach is to focus on shared problem-solving. ...
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[PDF] Nested Sequents for Intuitionistic Logics
[PDF] from cuny.eduM Fitting - 2011 - comet.lehman.cuny.edu
... It amounts to a combination of intuitionistic propositional rules and classical quantifier rules, a
combination that is known to be inadequate when conventional intuitionistic sequent systems
are used. 1 Introduction There has been much interest in deep reasoning systems. ...
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Can humans think?--a general review of HI
HS Hartl - ACM SIGART Bulletin, 1989 - dl.acm.org
... These include: ability to possess and use common sense; development of deep reasoning systems;
ability to vary an expert system's explanation capability; ability to get expert systems to learn;
ability to have distributed expert systems; and ability to easily acquire and up- date ...
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[BOOK] " Enroute Flight Planning: Evaluating Design Concepts for the DeveloDment of Cooperative Problem-SolvinP Systems
[PDF] from psu.eduPJ Smith, CE MCCoy... - 1991 - Citeseer
... One approach to alleviating such concerns is to try to build better computerized
problem-solvers. Current work on "deep reasoning' systems and qualitative modeling falls
into this tradition (Davis, 1984; Sembugamoorthy and Chandrasekeran, 1986). ...
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Expert system technology for the military: selected samples
JE Franklin, CL Carmody, K Keller... - Proceedings of the ..., 1988 - ieeexplore.ieee.org
Page 1. Expert System Technology for the Military: Selected Samples JUDE E. FRANKLIN,
SENIOR MEMBER, IEEE, CORA LACKEY CARMODY, MEMBER, IEEE, KARL KELLER, TOD
s. LEVITT, MEMBER, IEEE, AND BRANDON L. BUTEAU, ASSOCIATE, IEEE Invited Paper ...
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Ontological engineering with principled core ontologies
A Valente... - ... -Working Notes, Stanford, California, March l997, 1997 - aaai.org
... 155 Page 3. (and even inside) AI think about the knowledge and understanding of a
knowledge system when they look under its hood. There is a general 'Eliza effect' even
in model-based, deep reasoning systems (see, eg, (Hofstadter 1995)). ...
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Prefixed tableaus and nested sequents
[PDF] from cuny.eduM Fitting - Annals of Pure and Applied Logic, 2011 - Elsevier
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[PDF] Andr e Valente1 and Joost Breuker2 University of Southern California, Information Sciences Institute, 4676 Admiralty Way, Marina del Rey
[PDF] from psu.eduTPC Ontologies - Citeseer
... That is also the way many people outside (and even inside) AI think about the knowledge in
and understanding of a knowledge system when they look under its hood. There is a general
`Eliza e ect' even in model-based, deep reasoning systems (see, Page 6. ...
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Automated theorem proving and logic programming: A natural symbiosis
L Wos... - The Journal of Logic Programming, 1991 - Elsevier
... algorithmic reasoning. Indeed, the former is concerned with generalpurpose and often
deep reasoning systems, while the latter is concerned (with certain exceptions) with
programming languages and far less deep reasoning. Among ...
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Modeling cataloging expertise: a feasibility study
LH Jeng... - Information processing & management, 1994 - Elsevier
... Liebowitz (1989) summarizes the limitation of expert systems across disciplines in six aspects:
1. They do not handle or process common-sense reasoning 2. They are not deep reasoning
systems 3. They lack sophisticated explanations 4. They lack the ability to learn 5. They ...
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[PDF] Inducing Event Schemas and Their Participants from Unlabeled Text
[PDF] from stanford.eduNW Chambers - 2011 - stacks.stanford.edu
... D convict B B plead C D acquit B D sentence B Figure 1.2: The partial ordering for a set of learned
events. Research in causation is also very important to deep reasoning systems that rely on logical
inference and more strict measures of entailment. While my goal is not to ...
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[BOOK] Nas Colloquium: Mapping Knowledge Domains
Proceedings of the National Academy of Sciences - 2004 - books.google.com
Page 1. SoertMj and Engirw"ig Arnold and Mabel B"kmgri Cenlqr lmner C* Arthur
M 5adk/er COUOOUI A Mapping Knowledge Domains Edited by Richard M. Shilfrin
and Kaly Sorrar May 9-11. 2003 Page 2. Arthur M.Sackler ...
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