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ORCIDDaniel N. Osherson
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- affiliation: Princeton University, Department of Psychology, Princeton, New Jersey, USA
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2010 – 2019
- 2018
[c12]Marius Catalin Iordan, Cameron T. Ellis, Michael Lesnick, Daniel N. Osherson, Jonathan Cohen:
Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity Judgments. CogSci 2018- 2017
- [c11]Ru Qi Yu, Daniel N. Osherson, Jiaying Zhao:
Alternation blindness in the perception of binary sequences. CogSci 2017 - 2014
- [i6]Daniel N. Osherson, Scott Weinstein:
Deontic modality based on preference. CoRR abs/1409.0824 (2014) - 2013
- [c10]Daniel N. Osherson, Scott Weinstein:
Modal Logic for Preference Based on Reasons. In Search of Elegance in the Theory and Practice of Computation 2013: 516-541 - 2012
- [j32]Daniel N. Osherson, Scott Weinstein:
Preference based on Reasons. Rev. Symb. Log. 5(1): 122-147 (2012) - [c9]Jiaying Zhao, Vincenzo Crupi, Katya Tentori, Branden Fitelson, Daniel N. Osherson:
Updating: Learning versus supposing. CogSci 2012 - [i5]Branden Fitelson, Daniel N. Osherson:
Remarks on "Random Sequences". CoRR abs/1205.5865 (2012) - [i4]Daniel N. Osherson, Scott Weinstein:
Quantified preference logic. CoRR abs/1208.2921 (2012) - [i3]Daniel N. Osherson, Scott Weinstein:
Notes on random reals. CoRR abs/1209.2875 (2012) - 2011
- [j31]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
, Daniel N. Osherson:
Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. Decis. Anal. 8(2): 128-144 (2011) - [j30]Sean G. Baron, Daniel N. Osherson:
Evidence for conceptual combination in the left anterior temporal lobe. NeuroImage 55(4): 1847-1852 (2011) - [c8]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Improving aggregated forecasts of probability. CISS 2011: 1-5 - [c7]Jiaying Zhao, Daniel N. Osherson:
Detecting deviations from randomness. CogSci 2011 - [r1]Daniel N. Osherson, Scott Weinstein:
Formal Learning Theory in Context. Inductive Logic 2011: 707-717
2000 – 2009
- 2009
- [j29]Michael K. Miller, Daniel N. Osherson:
Methods for distance-based judgment aggregation. Soc. Choice Welf. 32(4): 575-601 (2009) - [j28]Joel B. Predd, Robert Seiringer, Elliott H. Lieb, Daniel N. Osherson, H. Vincent Poor, Sanjeev R. Kulkarni:
Probabilistic coherence and proper scoring rules. IEEE Trans. Inf. Theory 55(10): 4786-4792 (2009) - 2008
- [j27]Joel B. Predd, Daniel N. Osherson, Sanjeev R. Kulkarni, H. Vincent Poor:
Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts. Decis. Anal. 5(4): 177-189 (2008) - [j26]Daniel N. Osherson, Scott Weinstein:
Recognizing Strong Random Reals. Rev. Symb. Log. 1(1): 56-63 (2008) - 2007
- [j25]Martin M. Monti, Daniel N. Osherson, Michael J. Martinez, Lawrence M. Parsons:
Functional neuroanatomy of deductive inference: A language-independent distributed network. NeuroImage 37(3): 1005-1016 (2007) - 2006
- [j24]Daniel N. Osherson, Moshe Y. Vardi:
Aggregating disparate estimates of chance. Games Econ. Behav. 56(1): 148-173 (2006) - [c6]Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Scalable Algorithms for Aggregating Disparate Forecasts of Probability. FUSION 2006: 1-8 - [i2]Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson, H. Vincent Poor:
Scalable Algorithms for Aggregating Disparate Forecasts of Probability. CoRR abs/cs/0601131 (2006) - [i1]Elliott H. Lieb, Daniel N. Osherson, Scott Weinstein:
Elementary Proof of a Theorem of Jean Ville. CoRR abs/cs/0607054 (2006) - 2004
- [j23]Katya Tentori, Nicolao Bonini, Daniel N. Osherson:
The conjunction fallacy: a misunderstanding about conjunction? Cogn. Sci. 28(3): 467-477 (2004) - 2002
- [j22]Yafen Lo, Ashley Sides, Joseph Rozelle, Daniel N. Osherson:
Evidential diversity and premise probability in young children's inductive judgment. Cogn. Sci. 26(2): 181-206 (2002) - [c5]Randy Batsell, Lyle Brenner, Daniel N. Osherson, Spyros Tsavachidis, Moshe Y. Vardi:
Eliminating Incoherence from Subjective Estimates of Chance. KR 2002: 353-364 - 2001
- [j21]Eric Martin, Daniel N. Osherson:
Induction by Enumeration. Inf. Comput. 171(1): 50-68 (2001) - 2000
- [j20]Eric Martin, Daniel N. Osherson:
Scientific Discovery on Positive Data via Belief Revision. J. Philos. Log. 29(5): 483-506 (2000)
1990 – 1999
- 1999
- [j19]Franco Montagna, Daniel N. Osherson:
Learning to Coordinate; a Recursion Theoretic Perspective. Synth. 118(3): 363-382 (1999) - 1997
- [j18]Eric Martin, Daniel N. Osherson:
Scientific Discovery Based on Belief Revision. J. Symb. Log. 62(4): 1352-1370 (1997) - [p1]Daniel N. Osherson, Dick de Jongh, Eric Martin, Scott Weinstein:
Formal Learning Theory. Handbook of Logic and Language 1997: 737-775 - 1995
- [j17]Daniel N. Osherson, Edward E. Smith, Eldar Shafir, Antoine Gualtierotti, Kevin Biolsi:
A Source of Bayesian Priors. Cogn. Sci. 19(3): 377-405 (1995) - [j16]Daniel N. Osherson, Scott Weinstein:
On the danger of half-truths. J. Philos. Log. 24(1): 85-115 (1995) - [c4]Eric Martin, Daniel N. Osherson:
A note on the use of probabilities by mechanical learners. EuroCOLT 1995: 261-271 - 1994
- [j15]Mark A. Fulk, Sanjay Jain, Daniel N. Osherson:
Open Problems in "Systems That Learn". J. Comput. Syst. Sci. 49(3): 589-604 (1994) - 1993
- [j14]Daniel N. Osherson, Scott Weinstein:
Relevant consequence and empirical inquiry. J. Philos. Log. 22(4): 437-448 (1993) - 1992
- [j13]Daniel N. Osherson, Michael Stob, Scott Weinstein:
A Universal Method of Scientific Inquiry. Mach. Learn. 9: 261-271 (1992) - 1991
- [j12]Daniel N. Osherson:
Joshua Stern, Ormond Wilkie, Michael Stob, Edward E. Smith: Default Probability. Cogn. Sci. 15(2): 251-269 (1991) - [j11]Daniel N. Osherson, Michael Stob, Scott Weinstein:
A Universal Inductive Inference Machine. J. Symb. Log. 56(2): 661-672 (1991) - 1990
- [c3]Daniel N. Osherson, Michael Stob, Scott Weinstein:
A Mechanical Method of Successful Scientific Inquiry. COLT 1990: 187-201
1980 – 1989
- 1989
- [j10]Daniel N. Osherson, Scott Weinstein:
Paradigms of truth detection. J. Philos. Log. 18(1): 1-42 (1989) - [c2]Daniel N. Osherson, Michael Stob, Scott Weinstein:
On Approximate Truth. COLT 1989: 88-101 - 1988
- [j9]Edward E. Smith, Daniel N. Osherson, Lance J. Rips, Margaret Keane:
Combining Prototypes: A Selective Modification Model. Cogn. Sci. 12(4): 485-527 (1988) - [j8]Daniel N. Osherson, Michael Stob, Scott Weinstein:
Synthesizing Inductive Expertise. Inf. Comput. 77(2): 138-161 (1988) - [j7]Daniel N. Osherson, Michael Stob, Scott Weinstein:
Mechanical Learners Pay a Price for Bayesianism. J. Symb. Log. 53(4): 1245-1251 (1988) - 1987
- [b1]Michel Imbert, Paul Bertelson, Ruth Kempson, Daniel N. Osherson, Helmut Schnelle, Norbert A. Streitz, Arnold Thomassen, Paolo Viviani:
Cognitive science in Europe - a report from the FAST programme of the Commission of the European Communities. Recent research in psychology, Springer 1987, ISBN 978-3-540-96595-4, pp. I-X, 1-236 - 1986
- [j6]Daniel N. Osherson, Michael Stob, Scott Weinstein:
Aggregating Inductive Expertise. Inf. Control. 70(1): 69-95 (1986) - [j5]Daniel N. Osherson, Scott Weinstein:
Identification in the limit of first order structures. J. Philos. Log. 15(1): 55-81 (1986) - 1984
- [j4]Edward E. Smith, Daniel N. Osherson:
Conceptual Combination with Prototype Concepts. Cogn. Sci. 8(4): 337-361 (1984) - 1983
- [c1]Daniel N. Osherson, Michael Stob, Scott Weinstein:
Formal Theories of Language Acquisition: Practical and Theoretical Perspectives. IJCAI 1983: 566-572 - 1982
- [j3]Daniel N. Osherson, Michael Stob, Scott Weinstein:
Ideal Learning Machines. Cogn. Sci. 6(3): 277-290 (1982) - [j2]Daniel N. Osherson, Scott Weinstein:
Criteria of Language Learning. Inf. Control. 52(2): 123-138 (1982) - [j1]Daniel N. Osherson, Michael Stob, Scott Weinstein:
Learning Strategies. Inf. Control. 53(1/2): 32-51 (1982)
Coauthor Index
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