Pantelis P. Analytis
Cited by
Cited by
Social influence and the collective dynamics of opinion formation
M Moussaïd, JE Kämmer, PP Analytis, H Neth
PloS one 8 (11), e78433, 2013
It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options
H Stojic, E Schulz, PP Analytis, M Speekenbrink
Journal of Experimental Psychology: General, 2020
Social learning strategies for matters of taste
PP Analytis, D Barkoczi, SM Herzog
Nature human behaviour 2 (6), 415-424, 2018
Multi-attribute utility models as cognitive search engines
PP Analytis, A Kothiyal, K Katsikopoulos
Judgment and Decision Making 9 (5), 403-419, 2014
Collective search on rugged landscapes: a cross-environmental analysis
D Barkoczi, PP Analytis, C Wu
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016
Human behavior in contextual multi-armed bandit problems
H Stojic, PP Analytis, M Speekenbrink
Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2015
The structure of social influence in recommender networks
PP Analytis, D Barkoczi, P Lorenz-Spreen, SM Herzog
Proceedings of the 2020 Web Conference (WWW), 2020
The wisdom of model crowds
L He, PP Analytis, S Bhatia
Management Science, 2022
Cognitive models of optimal sequential search with recall
S Bhatia, L He, WJ Zhao, PP Analytis
Cognition 210, 104595, 2021
Make-or-break: chasing risky goals or settling for safe rewards?
PP Analytis, CM Wu, A Gelastopoulos
Cognitive Science 43, e12743, 2019
Ranking with social cues: Integrating online review scores and popularity information
PP Analytis, A Delfino, J Kämmer, M Moussaïd, T Joachims
Proceedings of 11th International AAAI Conference on Web and Social Media …, 2017
You’re special, but it doesn’t matter if you’re a greenhorn: Social recommender strategies for mere mortals
PP Analytis, D Barkoczi, SM Herzog
Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2015
The collective dynamics of sequential search in markets for cultural products
PP Analytis, H Stojic, M Moussaïd
Santa Fe Institute Working Paper, 2015
Explaining inter-individual variability in strategy selection: A cue weight learning approach
H Stojic, H Olsson, PP Analytis
Proceedings of the 14th International Conference of Cognitive Modeling, 2016
Sequential choice and self-reinforcing rankings
PP Analytis, F Cerigioni, A Gelastopoulos, H Stojic
A preference elicitation interface for collecting dense recommender datasets with rich user information
PP Analytis, T Schnabel, S Herzog, D Barkoczi, T Joachims
arXiv preprint arXiv:1706.08184, 2017
Diversity of preferences can increase collective welfare in sequential exploration problems
PP Analytis, H Stojic, A Gelastopoulos, M Moussaïd
5th Collective Intelligence Conference, 2017
“Big data” needs an analysis of decision processes
PP Analytis, M Moussaïd, F Artinger, JE Kämmer, G Gigerenzer
Behavioral and Brain Sciences 37 (01), 76-78, 2014
Ranking-based rich-get-richer processes
PP Analytis, A Gelastopoulos, H Stojic
Annals of Applied Probability, 2021
Linear integration and lexicographic models of choice: A cue weight learning perspective.
H Stojić, H Olsson, PP Analytis
Journal of Experimental Psychology: Learning, Memory, and Cognition 46 (10 …, 2020
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