scholarly journals Homo Moralis and Regular Altruists – Preference Evolution for When They Disagree

2020 ◽  
Author(s):  
Aslihan Akdeniz ◽  
Christopher Graser ◽  
Matthijs van Veelen
Keyword(s):  
1996 ◽  
Vol 33 (2) ◽  
pp. 211-223 ◽  
Author(s):  
Murali Chandrashekaran ◽  
Beth A. Walker ◽  
James C. Ward ◽  
Peter H. Reingen

Organizational buying and strategic marketing decisions often emerge from a messy process of belief accommodation and compromise. In a longitudinal field study, the authors investigate how the beliefs and preferences of individual actors in a collective decision developed and changed. This provides a rare opportunity to relate beliefs and social influence to articulated preferences, as well as to evaluate the basic assumptions that underlie persuasive arguments theory, a prominent theory of group polarization. Econometric models are employed to test proposed relationships between group processes and outcomes. A model incorporating both cognitive and social process variables accurately predicts 95% of the actors’ top choices. The authors provide new insights for understanding the dynamics underlying group polarization and exploring group processes in marketing.


2019 ◽  
Vol 185 ◽  
pp. 104998
Author(s):  
Haiming Liang ◽  
Cong-Cong Li ◽  
Guoyin Jiang ◽  
Yucheng Dong

2018 ◽  
Vol 54 (4) ◽  
pp. 3162-3175 ◽  
Author(s):  
E. Mason ◽  
M. Giuliani ◽  
A. Castelletti ◽  
F. Amigoni

Author(s):  
Matteo Rossi ◽  
Alexander E. Hausmann ◽  
Timothy J. Thurman ◽  
Stephen H. Montgomery ◽  
Riccardo Papa ◽  
...  

Many animal species remain separate not because they fail to produce viable hybrids, but because their individuals “choose” not to mate. However, we still know very little of the genetic mechanisms underlying changes in these mate preference behaviours. Heliconius butterflies display bright warning patterns, which they also use to recognize conspecifics. Here, we couple QTL for divergence in visual preference behaviours with population genomic and gene expression analyses of neural tissue (central brain, optic lobes and ommatidia) across development in two sympatric Heliconius species. Within a region containing 200 genes, we identify five genes that are strongly associated with divergent visual preferences. Three of these have previously been implicated in key components of neural signalling (specifically an ionotropic glutamate receptor and two regucalcins), and overall our candidates suggest shifts in behaviour involve changes in visual integration or processing. This would allow preference evolution without altering perception of the wider environment.


2021 ◽  
pp. 1-12
Author(s):  
Zuoxi Yang ◽  
Shoubin Dong

Modeling user’s fine-grained preferences and dynamic preference evolution from their chronological behaviors are challenging and crucial for sequential recommendation. In this paper, we develop a Hierarchical Self-Attention Incorporating Knowledge Graph for Sequential Recommendation (HSRec). HSRec models not only the user’s intrinsic preferences but also the user’s external potential interests to capture the user’s fine-grained preferences. Specifically, the intrinsic interest module and potential interest module are designed to capture these two preferences respectively. In the intrinsic interest module, user’s sequential patterns are characterized from their behaviors via the self-attention mechanism. As for the potential interest module, high-order paths can be generated with the help of the knowledge graph. Therefore, a hierarchical self-attention mechanism is designed to aggregate the semantic information of user interaction from these paths. Specifically, an entity-level self-attention mechanism is applied to capture the sequential patterns contained in the high-order paths while an interaction-level self-attention mechanism is designed to further capture the semantic information from user interactions. Moreover, according to the high-order semantic relevance, HSRec can explore the user’s dynamic preferences at each time, thus describing the user’s dynamic preference evolution. Finally, experiments conducted on three real world datasets demonstrate the state-of-the-art performance of the HSRec.


Ethology ◽  
2017 ◽  
Vol 123 (11) ◽  
pp. 793-799 ◽  
Author(s):  
Susan M. Bertram ◽  
Sarah J. Harrison ◽  
Genevieve L. Ferguson ◽  
Ian R. Thomson ◽  
Michelle J. Loranger ◽  
...  

2001 ◽  
Vol 97 (2) ◽  
pp. 273-297 ◽  
Author(s):  
Rajiv Sethi ◽  
E. Somanathan
Keyword(s):  

1993 ◽  
Vol 340 (1292) ◽  
pp. 187-195 ◽  

The evolution of female mating preferences is an important key to understanding the evolution of signal diversity. Several hypotheses for preference evolution invoke different processes but all can produce the same end results: thus comparisons of extant traits and preferences within and among populations have made little progress in discriminating among competing hypotheses. Some of these hypotheses, however, do make different predictions as to the historical sequence of trait-preference evolution, and thus can be discriminated with appropriate phylogenetic analyses. We explore this approach in an analysis of the evolution of calls and call preferences in a monophyletic group of frogs, the Physalaemus pustulosus species group. In this clade there are pre-existing preferences for four call traits. These data reject hypotheses that invoke coevolution (good genes, runaway sexual selection) and females evolving preferences to choose males providing better resources, and instead support the hypothesis of sensory exploitation that suggests that males evolve traits that match pre-existing biases in the female’s sensory system. We suggest that some of the difficulty in understanding preference evolution might derive from defining a preference only by those extant stimuli that elicit the preference. Our results suggest that preferences might be more general, and that signal diversity might arise from alternative means for eliciting the same preference. Furthermore, we discuss some difficulties with utilizing both population-based comparisons and phylogenetic approaches and suggest that the greatest progress will be made by addressing the problem of preference evolution at several levels of analysis.


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