scholarly journals Behavioral Heterogeneity Affects Individual Performances in Experimental and Computational Lowest Unique Integer Games

2017 ◽  
Vol 5 ◽  
Author(s):  
Takashi Yamada
Keyword(s):  
Unique Integer ◽  
Behavioral Heterogeneity

scholarly journals Quantity competition, endogenous motives and behavioral heterogeneity

2012 ◽  
Vol 74 (1) ◽  
pp. 55-74 ◽  
Author(s):  
Alessandra Chirco ◽  
Caterina Colombo ◽  
Marcella Scrimitore
Keyword(s):  
Quantity Competition ◽  
Behavioral Heterogeneity

scholarly journals Chover-Type Laws of the Iterated Logarithm for Kesten-Spitzer Random Walks in Random Sceneries Belonging to the Domain of Stable Attraction

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Wensheng Wang ◽  
Anwei Zhu
Keyword(s):  
Random Walk ◽  
Large Deviation ◽  
Sufficient Conditions ◽  
Random Variables ◽  
Domain Of Attraction ◽  
Stable Law ◽  
Iterated Logarithm ◽  
Cluster Set ◽  
Random Scenery ◽  
Unique Integer

Let X={Xi,i≥1} be a sequence of real valued random variables, S0=0 and Sk=∑i=1kXi  (k≥1). Let σ={σ(x),x∈Z} be a sequence of real valued random variables which are independent of X’s. Denote by Kn=∑k=0nσ(⌊Sk⌋)  (n≥0) Kesten-Spitzer random walk in random scenery, where ⌊a⌋ means the unique integer satisfying ⌊a⌋≤a<⌊a⌋+1. It is assumed that σ’s belong to the domain of attraction of a stable law with index 0<β<2. In this paper, by employing conditional argument, we investigate large deviation inequalities, some sufficient conditions for Chover-type laws of the iterated logarithm and the cluster set for random walk in random scenery Kn. The obtained results supplement to some corresponding results in the literature.

scholarly journals Reciprocity and behavioral heterogeneity govern the stability of social networks

2020 ◽  
Vol 117 (6) ◽  
pp. 2993-2999 ◽  
Author(s):  
Roslyn Dakin ◽  
T. Brandt Ryder
Keyword(s):  
Social Networks ◽  
Social Connectedness ◽  
Social Dynamics ◽  
Social Systems ◽  
Bird Species ◽  
Network Stability ◽  
Apparent Paradox ◽  
Trade Off ◽  
Behavioral Heterogeneity ◽  
The Stability

The dynamics of social networks can determine the transmission of information, the spread of diseases, and the evolution of behavior. Despite this broad importance, a general framework for predicting social network stability has not been proposed. Here we present longitudinal data on the social dynamics of a cooperative bird species, the wire-tailed manakin, to evaluate the potential causes of temporal network stability. We find that when partners interact less frequently and when social connectedness increases, the network is subsequently less stable. Social connectivity was also negatively associated with the temporal persistence of coalition partnerships on an annual timescale. This negative association between connectivity and stability was surprising, especially given that individual manakins who were more connected also had more stable partnerships. This apparent paradox arises from a within-individual behavioral trade-off between partnership quantity and quality. Crucially, this trade-off is easily masked by behavioral variation among individuals. Using a simulation, we show that these results are explained by a simple model that combines among-individual behavioral heterogeneity and reciprocity within the network. As social networks become more connected, individuals face a trade-off between partnership quantity and maintenance. This model also demonstrates how among-individual behavioral heterogeneity, a ubiquitous feature of natural societies, can improve social stability. Together, these findings provide unifying principles that are expected to govern diverse social systems.

scholarly journals Judgment and Decision Making

2020 ◽  
Vol 71 (1) ◽  
pp. 331-355 ◽  
Author(s):  
Baruch Fischhoff ◽  
Stephen B. Broomell
Keyword(s):  
Decision Making ◽  
Basic Research ◽  
Judgment And Decision Making ◽  
Intelligence Analysis ◽  
Organizational Decision Making ◽  
Core Elements ◽  
Behavioral Heterogeneity ◽  
Intellectual Foundations ◽  
Basic And Applied Research ◽  
Research Analysis

The science of judgment and decision making involves three interrelated forms of research: analysis of the decisions people face, description of their natural responses, and interventions meant to help them do better. After briefly introducing the field's intellectual foundations, we review recent basic research into the three core elements of decision making: judgment, or how people predict the outcomes that will follow possible choices; preference, or how people weigh those outcomes; and choice, or how people combine judgments and preferences to reach a decision. We then review research into two potential sources of behavioral heterogeneity: individual differences in decision-making competence and developmental changes across the life span. Next, we illustrate applications intended to improve individual and organizational decision making in health, public policy, intelligence analysis, and risk management. We emphasize the potential value of coupling analytical and behavioral research and having basic and applied research inform one another.

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