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ORCIDAfzal Upal
Person information
- affiliation: University of Wisconsin, Platteville, WI, USA
- affiliation (former): University of Toledo, Ohio, USA
- affiliation (former): Mercyhurst University, Erie, PA, USA
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Journal Articles
- 2010
[j6]M. Afzal Upal:
An alternative account of the minimal counterintuitiveness effect. Cogn. Syst. Res. 11(2): 194-203 (2010)- 2008
- [j5]M. Afzal Upal:
Artificial Intelligence & Religion: A Review of Bill Bainbridge's "God from the Machine: Artificial Intelligence Models of Religious Cognition" AltaMira Press (A division of Rowman & Littlefield Publishers Inc.), Lanham, MD, USA, 2006, 179 pp., ISBN: 9875917441, 0759107440. Cogn. Syst. Res. 9(3): 232-235 (2008) - 2006
- [j4]Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko:
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27(4): 92-102 (2006) - 2005
- [j3]Muhammad Afzal Upal, Seth Rogers:
Learning to Improve Reasoning. Comput. Intell. 21(4): 333-335 (2005) - [j2]Muhammad Afzal Upal:
Learning to Improve Plan Quality. Comput. Intell. 21(4): 440-461 (2005) - [j1]M. Afzal Upal:
Simulating the Emergence of New Religious Movements. J. Artif. Soc. Soc. Simul. 8(1) (2005)
Conference and Workshop Papers
- 2016
- [c22]M. Afzal Upal, Pritham Marupaka:
What Makes Campaign Messages Popular On Twitter ? CogSci 2016 - 2015
- [c21]M. Afzal Upal:
Why Stickiness is not Enough to Explain Persistence of Counterintuitive Religious Concepts. CogSci 2015 - [c20]M. Afzal Upal:
An Empirical Examination of Barrett's Intuitive Expectation Sets. CogSci 2015 - [c19]M. Afzal Upal, Sarah Gibbon:
Agent-based system for simulating the dynamics of social identity beliefs. SpringSim (ANSS) 2015: 94-101 - 2014
- [c18]M. Afzal Upal:
A Cognitive Framework for Understanding Counterintuitive Stories. CMN 2014: 222-240 - [c17]M. Afzal Upal:
Strong Flying Women and Weak Invisible Men: How People Make Counterintuitive Concepts Coherent. CogSci 2014 - [c16]M. Afzal Upal:
Does Narrative Transportation Facilitate Memory for Counterintuitive Concepts? CogSci 2014 - 2013
- [c15]Mary Harmon-Vukic, M. Afzal Upal, Caitlin Trainor:
Understanding the Role of Context in Memory for Maximally Counterintuitive Concepts. CogSci 2013 - 2011
- [c14]Mary Harmon-Vukic, M. Afzal Upal, Kelly Sheehan:
The Role of Mental Elaborations in Making Counterintuitive Ideas Memorable. CogSci 2011 - [c13]M. Afzal Upal:
Why Radicals Win the Newsday?: Ratcheting-up of Cultural Counterintuitiveness in Rumors and NRM Doctrine. CogSci 2011 - [c12]M. Afzal Upal:
Automated Extraction of Weighted Semantic Maps From Texts to Study Cultural Differences. CogSci 2011 - 2007
- [c11]Afzal Upal:
The Structure of False Social Beliefs. ALIFE 2007: 282-286 - 2004
- [c10]Muhammad Afzal Upal:
Learning General Graphplan Memos. IC-AI 2004: 759-764 - [c9]Muhammad Afzal Upal:
A Computational Model for Acquisition of Counterintuitive Concepts. ICCM 2004 - 2003
- [c8]Muhammad Afzal Upal:
Learning General Graphplan Memos through Static Domain Analysis. AI 2003: 510-514 - [c7]Muhammad Afzal Upal:
Sexual Selection of Co-operation. GECCO 2003: 98-109 - 2001
- [c6]Joe MacInnes, Omid Banyasad, Muhammad Afzal Upal:
Watching You, Watching Me. AI 2001: 361-364 - [c5]Muhammad Afzal Upal:
Learning Plan Rewriting Rules. FLAIRS 2001: 412-416 - 2000
- [c4]Muhammad Afzal Upal, Renee Elio:
Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality. AI 2000: 240-253 - [c3]Muhammad Afzal Upal:
Learning from Others to Improve Planning Performance. Artificial Intelligence and Soft Computing 2000: 227-233 - 1999
- [c2]Muhammad Afzal Upal:
Learning rewrite rules to improve plan quality. AAAI/IAAI 1999: 984 - [c1]Muhammad Afzal Upal, Renee Elio:
Learning Rationales to Improve Plan Quality for Partial Order Planners. FLAIRS 1999: 371-377
Coauthor Index
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