Switch to: References

Add citations

You must login to add citations.
  1. The scientific induction problem: A case for case studies.K. Anders Ericsson - 1987 - Behavioral and Brain Sciences 10 (3):480-481.
    Download  
     
    Export citation  
     
    Bookmark  
  • The evolutionary aspect of cognitive functions.J. -P. Ewert - 1987 - Behavioral and Brain Sciences 10 (3):481-483.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Connectionism and motivation are compatible.Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (3):487-487.
    Download  
     
    Export citation  
     
    Bookmark  
  • Many levels: More than one is algorithmic.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):478-479.
    Download  
     
    Export citation  
     
    Bookmark  
  • Agile: a problem-based model of regulatory policy making.Alexander Boer & Tom van Engers - 2013 - Artificial Intelligence and Law 21 (4):399-423.
    We understand regulatory policy problems against the backdrop of existing implementations of a regulatory framework. There are argument schemes for proposing a policy and for criticising a proposal, rooted in a shared understanding that there is an existing regulatory framework which is implemented in social structures in society, yet has problems. The problems with the existing implementations may be attributed either to those implementations or to the constraints imposed by the regulatory framework. In this paper we propose that calls for (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Cognition and decision in biomedical artificial intelligence: From symbolic representation to emergence. [REVIEW]Vincent Rialle - 1995 - AI and Society 9 (2-3):138-160.
    This paper presents work in progress on artificial intelligence in medicine (AIM) within the larger context of cognitive science. It introduces and develops the notion ofemergence both as an inevitable evolution of artificial intelligence towards machine learning programs and as the result of a synergistic co-operation between the physician and the computer. From this perspective, the emergence of knowledge takes placein fine in the expert's mind and is enhanced both by computerised strategies of induction and deduction, and by software abilities (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Defeasible Classifications and Inferences from Definitions.Fabrizio Macagno & Douglas Walton - 2010 - Informal Logic 30 (1):34-61.
    We contend that it is possible to argue reasonably for and against arguments from classifications and definitions, provided they are seen as defeasible (subject to exceptions and critical questioning). Arguments from classification of the most common sorts are shown to be based on defeasible reasoning of various kinds represented by patterns of logical reasoning called defeasible argumentation schemes. We show how such schemes can be identified with heuristics, or short-cut solutions to a problem. We examine a variety of arguments of (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  • Legal ontologies in knowledge engineering and information management.Joost Breuker, André Valente & Radboud Winkels - 2004 - Artificial Intelligence and Law 12 (4):241-277.
    In this article we describe two core ontologies of law that specify knowledge that is common to all domains of law. The first one, FOLaw describes and explains dependencies between types of knowledge in legal reasoning; the second one, LRI-Core ontology, captures the main concepts in legal information processing. Although FOLaw has shown to be of high practical value in various applied European ICT projects, its reuse is rather limited as it is rather concerned with the structure of legal reasoning (...)
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • Reconstructive expert system explanation.Michael R. Wick & William B. Thompson - 1992 - Artificial Intelligence 54 (1-2):33-70.
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Controlling cooperative problem solving in industrial multi-agent systems using joint intentions.N. R. Jennings - 1995 - Artificial Intelligence 75 (2):195-240.
    Download  
     
    Export citation  
     
    Bookmark   9 citations  
  • Nonverbal knowledge as algorithms.Chris Mortensen - 1987 - Behavioral and Brain Sciences 10 (3):487-488.
    Download  
     
    Export citation  
     
    Bookmark  
  • Applying Marr to memory.Keith Stenning - 1987 - Behavioral and Brain Sciences 10 (3):494-495.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Learning is critical, not implementation versus algorithm.James T. Townsend - 1987 - Behavioral and Brain Sciences 10 (3):497-497.
    Download  
     
    Export citation  
     
    Bookmark  
  • Incremental Knowledge-acquisition for Complex Multi-agent Environments.Angela Finlayson - forthcoming - Philosophy.
    Download  
     
    Export citation  
     
    Bookmark  
  • Notes on "epistemology of a rule-based expert system".William J. Clancey - 1993 - Artificial Intelligence 59 (1-2):191-204.
    In the 1970s, we conceived of a rule explanation as supplying the causal and social context that justifies a rule, an objective documentation for why a rule is correct. Today we would call such descriptions post-hoc design rationales, not proving the rules? correctness, but providing a means for later interpreting why the rule was written and facilitating later improvements.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Analysis of notions of diagnosis.Peter J. F. Lucas - 1998 - Artificial Intelligence 105 (1-2):295-343.
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • A Canonical Theory of Dynamic Decision-Making.John Fox, Richard P. Cooper & David W. Glasspool - 2013 - Frontiers in Psychology 4.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Levels of research.Colleen Seifert & Donald A. Norman - 1987 - Behavioral and Brain Sciences 10 (3):490-492.
    Download  
     
    Export citation  
     
    Bookmark  
  • The algorithm/implementation distinction.Austen Clark - 1987 - Behavioral and Brain Sciences 10 (3):480-480.
    Download  
     
    Export citation  
     
    Bookmark  
  • Underestimating the importance of the implementational level.Michael Van Kleeck - 1987 - Behavioral and Brain Sciences 10 (3):497-498.
    Download  
     
    Export citation  
     
    Bookmark  
  • The study of cognition and instructional design: Mutual nurturance.Robert Glaser - 1987 - Behavioral and Brain Sciences 10 (3):483-484.
    Download  
     
    Export citation  
     
    Bookmark  
  • Ambiguities in “the algorithmic level”.Alvin I. Goldman - 1987 - Behavioral and Brain Sciences 10 (3):484-485.
    Download  
     
    Export citation  
     
    Bookmark  
  • Model construction operators.William J. Clancey - 1992 - Artificial Intelligence 53 (1):1-115.
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • Task modeling with reusable problem-solving methods.Henrik Eriksson, Yuval Shahar, Samson W. Tu, Angel R. Puerta & Mark A. Musen - 1995 - Artificial Intelligence 79 (2):293-326.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • An architecture for adaptive intelligent systems.Barbara Hayes-Roth - 1995 - Artificial Intelligence 72 (1-2):329-365.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Generality and applications.Jill H. Larkin - 1987 - Behavioral and Brain Sciences 10 (3):486-487.
    Download  
     
    Export citation  
     
    Bookmark  
  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
    Download  
     
    Export citation  
     
    Bookmark  
  • Automatic knowledge base refinement for classification systems.Allen Ginsberg, Sholom M. Weiss & Peter Politakis - 1988 - Artificial Intelligence 35 (2):197-226.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Is there more than one type of mental algorithm?Ronan G. Reilly - 1987 - Behavioral and Brain Sciences 10 (3):489-490.
    Download  
     
    Export citation  
     
    Bookmark  
  • Interactive instructional systems and models of human problem solving.Edward P. Stabler - 1987 - Behavioral and Brain Sciences 10 (3):493-494.
    Download  
     
    Export citation  
     
    Bookmark  
  • Functional principles and situated problem solving.William J. Clancey - 1987 - Behavioral and Brain Sciences 10 (3):479-480.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Interpretation of Scientific or Mathematical Concepts: Cognitive Issues and Instructional Implications.Frederick Reif - 1987 - Cognitive Science 11 (4):395-416.
    Scientific and mathematical concepts are significantly different from everyday concepts and are notoriously difficult to learn. It is shown that particular instances of such concepts can be identified or generated by different possible modes of concept interpretation. Some of these modes use formally explicit knowledge and thought processes; others rely on less formal case‐based knowledge and more automatic recognition processes. The various modes differ in attainable precision, likely errors, and ease of use. A combination of such modes can be used (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Concept learning and heuristic classification in weak-theory domains.Bruce W. Porter, Ray Bareiss & Robert C. Holte - 1990 - Artificial Intelligence 45 (1-2):229-263.
    Download  
     
    Export citation  
     
    Bookmark   9 citations  
  • Weak versus strong claims about the algorithmic level.Paul S. Rosenbloom - 1987 - Behavioral and Brain Sciences 10 (3):490-490.
    Download  
     
    Export citation  
     
    Bookmark  
  • What is the algorithmic level?M. M. Taylor & R. A. Pigeau - 1987 - Behavioral and Brain Sciences 10 (3):495-496.
    Download  
     
    Export citation  
     
    Bookmark  
  • Methodologies for studying human knowledge.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):467-477.
    The appropriate methodology for psychological research depends on whether one is studying mental algorithms or their implementation. Mental algorithms are abstract specifications of the steps taken by procedures that run in the mind. Implementational issues concern the speed and reliability of these procedures. The algorithmic level can be explored only by studying across-task variation. This contrasts with psychology's dominant methodology of looking for within-task generalities, which is appropriate only for studying implementational issues.The implementation-algorithm distinction is related to a number of (...)
    Download  
     
    Export citation  
     
    Bookmark   42 citations  
  • (1 other version)Book review. [REVIEW]L. Karl Branting - 1994 - Artificial Intelligence and Law 2 (3):233-238.
    Download  
     
    Export citation  
     
    Bookmark  
  • Retrospective on “Production rules as a representation for a knowledge-based consultation program”.Randall Davis, Bruce G. Buchanan & Edward H. Shortliffe - 1993 - Artificial Intelligence 59 (1-2):181-189.
    Download  
     
    Export citation  
     
    Bookmark  
  • Knowledge transformation and fusion in diagnostic systems.Mingsheng Ying - 2005 - Artificial Intelligence 163 (1):1-45.
    Download  
     
    Export citation  
     
    Bookmark  
  • The refinement of probabilistic rule sets: Sociopathic interactions.David C. Wilkins & Yong Ma - 1994 - Artificial Intelligence 70 (1-2):1-32.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Maximizing the predictive value of production rules.Sholom M. Weiss, Robert S. Galen & Prasad V. Tadepalli - 1990 - Artificial Intelligence 45 (1-2):47-71.
    Download  
     
    Export citation  
     
    Bookmark  
  • Philosophically Specified Types of Methods Important for Theoretical Natural Science *Jaroslav Kubrycht - 2024 - Open Journal of Philosophy 14 (2):448-480.
    In accordance with current philosophical opinions, four classical and one more recently proposed types of methods frequently used in theoretical natural science are specified here together with the corresponding sources of inspiration. More precisely, abstract models, thought experiments, mathematical hypotheses and metaphors are dealt with here as classical types of methods, whereas hybrids of mathematical hypotheses and thought experiments represent more recent methodic group. In addition, this paper describes the relationships of the introduced types of methods to the (i) three-floor (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.
    Download  
     
    Export citation  
     
    Bookmark  
  • A framework for knowledge-based temporal abstraction.Yuval Shahar - 1997 - Artificial Intelligence 90 (1-2):79-133.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Ways and means.Adam V. Reed - 1987 - Behavioral and Brain Sciences 10 (3):488-489.
    Download  
     
    Export citation  
     
    Bookmark  
  • Acquiring Creative Knowledge for Knowledge-Based Systems.Z. Chen - 1996 - Journal of Intelligent Systems 6 (3-4):179-198.
    Download  
     
    Export citation  
     
    Bookmark  
  • SALT: A knowledge acquisition language for propose-and-revise systems.Sandra Marcus & John McDermott - 1989 - Artificial Intelligence 39 (1):1-37.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Critical Decisions under Uncertainty: Representation and Structure.Benjamin Kuipers, Alan J. Moskowitz & Jerome P. Kassirer - 1988 - Cognitive Science 12 (2):177-210.
    How do people make difficult decisions in situations involving substantial risk and uncertainty? In this study, we presented a difficult medical decision to three expert physicians in a combined “thinking aloud” and “cross examination” experiment. Verbatim transcripts were analyzed using script analysis to observe the process of constructing and making the decision, and using referring phrase analysis to determine the representation of knowledge of likelihoods. These analyses are compared with a formal decision analysis of the same problem to highlight similarities (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • A flawed analogy?James Hendler - 1987 - Behavioral and Brain Sciences 10 (3):485-486.
    Download  
     
    Export citation  
     
    Bookmark  
  • (1 other version)Book review. [REVIEW]L. Karl Branting - 1993 - Artificial Intelligence and Law 2 (3):233-238.
    Download  
     
    Export citation  
     
    Bookmark