Daniel N. Osherson - researchr alias

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Viewing Publication 1 - 45 from 45

2018

Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity JudgmentsMarius Catalin Iordan, Cameron T. Ellis, Michael Lesnick, Daniel N. Osherson, Jonathan Cohen. cogsci 2018: [doi]

2017

Alternation blindness in the perception of binary sequencesRu Qi Yu, Daniel N. Osherson, Jiaying Zhao. cogsci 2017: [doi]

2013

Modal Logic for Preference Based on ReasonsDaniel N. Osherson, Scott Weinstein. BIRTHDAY 2013: 516-541 [doi]

2012

Preference based on ReasonsDaniel N. Osherson, Scott Weinstein. rsl, 5(1):122-147, 2012. [doi]

Updating: Learning versus supposingJiaying Zhao, Vincenzo Crupi, Katya Tentori, Branden Fitelson, Daniel N. Osherson. cogsci 2012: [doi]

2011

Formal Learning Theory in ContextDaniel N. Osherson, Scott Weinstein. In Dov M. Gabbay, Stephan Hartmann, John Woods, editors, Inductive Logic. Volume 10 of Handbook of the History of Logic, pages 707-717, Elsevier, 2011. [doi]

Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent AdjustmentGuanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson. da, 8(2):128-144, 2011. [doi]

Improving aggregated forecasts of probabilityGuanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson. ciss 2011: 1-5 [doi]

Detecting deviations from randomnessJiaying Zhao, Daniel N. Osherson. cogsci 2011: [doi]

2009

Methods for distance-based judgment aggregationMichael K. Miller, Daniel N. Osherson. scw, 32(4):575-601, 2009. [doi]

Probabilistic coherence and proper scoring rulesJoel B. Predd, Robert Seiringer, Elliott H. Lieb, Daniel N. Osherson, H. Vincent Poor, Sanjeev R. Kulkarni. TIT, 55(10):4786-4792, 2009. [doi]

2008

Recognizing Strong Random RealsDaniel N. Osherson, Scott Weinstein. rsl, 1(1):56-63, 2008. [doi]

Aggregating Probabilistic Forecasts from Incoherent and Abstaining ExpertsJoel B. Predd, Daniel N. Osherson, Sanjeev R. Kulkarni, H. Vincent Poor. da, 5(4):177-189, 2008. [doi]

2007

Functional neuroanatomy of deductive inference: A language-independent distributed networkMartin M. Monti, Daniel N. Osherson, Michael J. Martinez, Lawrence M. Parsons. neuroimage, 37(3):1005-1016, 2007. [doi]

2006

Aggregating disparate estimates of chanceDaniel N. Osherson, Moshe Y. Vardi. geb, 56(1):148-173, 2006. [doi]

Scalable Algorithms for Aggregating Disparate Forecasts of ProbabilityJoel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson. fusion 2006: 1-8 [doi]

2004

The conjunction fallacy: a misunderstanding about conjunction?Katya Tentori, Nicolao Bonini, Daniel N. Osherson. cogsci, 28(3):467-477, 2004. [doi]

2002

Eliminating Incoherence from Subjective Estimates of ChanceRandy Batsell, Lyle Brenner, Daniel N. Osherson, Spyros Tsavachidis, Moshe Y. Vardi. kr 2002: 353-364

Evidential diversity and premise probability in young children s inductive judgmentYafen Lo, Ashley Sides, Joseph Rozelle, Daniel N. Osherson. cogsci, 26(2):181-206, 2002. [doi]

2001

Induction by EnumerationEric Martin, Daniel N. Osherson. iandc, 171(1):50-68, 2001.

2000

Scientific Discovery on Positive Data via Belief RevisionEric Martin 0002, Daniel N. Osherson. jphil, 29(5):483-506, 2000. [doi]

1999

Learning to Coordinate; a Recursion Theoretic PerspectiveFranco Montagna, Daniel N. Osherson. synthese, 118(3):363-382, 1999. [doi]

1997

Scientific Discovery Based on Belief RevisionEric Martin, Daniel N. Osherson. JSYML, 62(4):1352-1370, 1997.

Formal Learning TheoryDaniel N. Osherson, Dick De Jongh, Eric Martin 0002, Scott Weinstein. In Johan van Benthem, Alice ter Meulen, editors, Handbook of Logic and Language. pages 737-775, North Holland / Elsevier, 1997. [doi]

1995

A note on the use of probabilities by mechanical learnersEric Martin, Daniel N. Osherson. eurocolt 1995: 261-271

A Source of Bayesian PriorsDaniel N. Osherson, Edward E. Smith, Eldar Shafir, Antoine Gualtierotti, Kevin Biolsi. cogsci, 19(3):377-405, 1995.

On the danger of half-truthsDaniel N. Osherson, Scott Weinstein. jphil, 24(1):85-115, 1995. [doi]

1994

Open Problems in Systems That Learn Mark A. Fulk, Sanjay Jain, Daniel N. Osherson. jcss, 49(3):589-604, 1994.

1993

Relevant consequence and empirical inquiryDaniel N. Osherson, Scott Weinstein. jphil, 22(4):437-448, 1993. [doi]

1992

A Universal Method of Scientific InquiryDaniel N. Osherson, Michael Stob, Scott Weinstein. ml, 9:261-271, 1992.

1991

A Universal Inductive Inference MachineDaniel N. Osherson, Michael Stob, Scott Weinstein. JSYML, 56(2):661-672, 1991.

Joshua Stern, Ormond Wilkie, Michael Stob, Edward E. Smith: Default ProbabilityDaniel N. Osherson. cogsci, 15(2):251-269, 1991.

1990

A Mechanical Method of Successful Scientific InquiryDaniel N. Osherson, Michael Stob, Scott Weinstein. colt 1990: 187-201 [doi]

1989

On Approximate TruthDaniel N. Osherson, Michael Stob, Scott Weinstein. colt 1989: 88-101 [doi]

Paradigms of truth detectionDaniel N. Osherson, Scott Weinstein. jphil, 18(1):1-42, 1989. [doi]

1988

Synthesizing Inductive ExpertiseDaniel N. Osherson, Michael Stob, Scott Weinstein. iandc, 77(2):138-161, May 1988.

Combining Prototypes: A Selective Modification ModelEdward E. Smith, Daniel N. Osherson, Lance J. Rips, Margaret Keane. cogsci, 12(4):485-527, 1988.

1987

Cognitive science in Europe - a report from the FAST programme of the Commission of the European CommunitiesMichel Imbert, Paul Bertelson, Ruth Kempson, Daniel N. Osherson, Helmut Schnelle, Norbert Streitz, Arnold Thomassen, Paolo Viviani. Recent research in psychology, Springer, 1987.

1986

Aggregating Inductive ExpertiseDaniel N. Osherson, Michael Stob, Scott Weinstein. iandc, 70(1):69-95, July 1986.

Identification in the limit of first order structuresDaniel N. Osherson, Scott Weinstein. jphil, 15(1):55-81, 1986. [doi]

1984

Conceptual Combination with Prototype ConceptsEdward E. Smith, Daniel N. Osherson. cogsci, 8(4):337-361, 1984. [doi]

1983

Formal Theories of Language Acquisition: Practical and Theoretical PerspectivesDaniel N. Osherson, Michael Stob, Scott Weinstein. IJCAI 1983: 566-572

1982

Criteria of Language LearningDaniel N. Osherson, Scott Weinstein. iandc, 52(2):123-138, February 1982.

Learning StrategiesDaniel N. Osherson, Michael Stob, Scott Weinstein. iandc, 53(1/2):32-51, April/May 1982.

Ideal Learning MachinesDaniel N. Osherson, Michael Stob, Scott Weinstein. cogsci, 6(3):277-290, 1982. [doi]

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