scholarly journals Individual differences in novelty-seeking are associated with different patterns of preference in a risk-sensitivity procedure in rats

Author(s):  
Héctor Octavio Camarena Pérez ◽  
Oscar García-Leal

The preferences of organisms faced with changing conditions in food delivery situations have been studied under the rubric of risk-sensitivity. Optimal foraging theory often applies the energy budget model to explain the preferences shown by organisms, but in this paper we suggest a different approach, one based on the study of individual differences. A sample of rats was classified as high and low novelty-seeking. Afterwards, they were maintained at 75% or 90% of their body weight and exposed to a risk-sensitivity procedure. The results show that the novelty-seeking model is associated with different patterns of preference under a risk-sensitivity procedure, but that these patterns do not correlate with the level of food deprivation employed. Furthermore, we found that the spontaneous alternation between options in a choice situation correlates with the organism’s preference during a risk procedure. Considering recent findings in the area of animal and human decision-making, our results are explained in terms of altered behavioral processes.

2021 ◽  
Vol 8 (4) ◽  
Author(s):  
Patrick M. Jagielski ◽  
Cody J. Dey ◽  
H. Grant Gilchrist ◽  
Evan S. Richardson ◽  
Oliver P. Love ◽  
...  

Climate-mediated sea-ice loss is disrupting the foraging ecology of polar bears ( Ursus maritimus ) across much of their range. As a result, there have been increased reports of polar bears foraging on seabird eggs across parts of their range. Given that polar bears have evolved to hunt seals on ice, they may not be efficient predators of seabird eggs. We investigated polar bears' foraging performance on common eider ( Somateria mollissima ) eggs on Mitivik Island, Nunavut, Canada to test whether bear decision-making heuristics are consistent with expectations of optimal foraging theory. Using aerial-drones, we recorded multiple foraging bouts over 11 days, and found that as clutches were depleted to completion, bears did not exhibit foraging behaviours matched to resource density. As the season progressed, bears visited fewer nests overall, but marginally increased their visitation to nests that were already empty. Bears did not display different movement modes related to nest density, but became less selective in their choice of clutches to consume. Lastly, bears that capitalized on visual cues of flushing eider hens significantly increased the number of clutches they consumed; however, they did not use this strategy consistently or universally. The foraging behaviours exhibited by polar bears in this study suggest they are inefficient predators of seabird eggs, particularly in the context of matching behaviours to resource density.


2012 ◽  
Vol 367 (1603) ◽  
pp. 2762-2772 ◽  
Author(s):  
Andrew Sih ◽  
Marco Del Giudice

With the exception of a few model species, individual differences in cognition remain relatively unstudied in non-human animals. One intriguing possibility is that variation in cognition is functionally related to variation in personality. Here, we review some examples and present hypotheses on relationships between personality (or behavioural syndromes) and individual differences in cognitive style. Our hypotheses are based largely on a connection between fast–slow behavioural types (BTs; e.g. boldness, aggressiveness, exploration tendency) and cognitive speed–accuracy trade-offs. We also discuss connections between BTs, cognition and ecologically important aspects of decision-making, including sampling, impulsivity, risk sensitivity and choosiness. Finally, we introduce the notion of cognition syndromes, and apply ideas from theories on adaptive behavioural syndromes to generate predictions on cognition syndromes.


1985 ◽  
Vol 8 (2) ◽  
pp. 315-330 ◽  
Author(s):  
Edmund Fantino ◽  
Nureya Abarca

AbstractBehaving organisms are continually choosing. Recently the theoretical and empirical study of decision making by behavioral ecologists and experimental psychologists have converged in the area of foraging, particularly food acquisition. This convergence has raised the interdisciplinary question of whether principles that have emerged from the study of decision making in the operant conditioning laboratory are consistent with decision making in naturally occurring foraging. One such principle, the “parameter-free delay-reduction hypothesis, ” developed in studies of choice in the operant conditioning laboratory, states that the effectiveness of a stimulus as a reinforcer may be predicted most accurately by calculating the decrease in time to food presentation correlated with the onset of the stimulus, relative to the length of time to food presentation measured from the onset of the preceding stimulus. Since foraging involves choice, the delay-reduction hypothesis may be extended to predict aspects of foraging. We discuss the strategy of assessing parameters of foraging with operant laboratory analogues to foraging. We then compare the predictions of the delay-reduction hypothesis with those of optimal foraging theory, developed by behavioral ecologists, showing that, with two exceptions, the two positions make comparable predictions. The delay-reduction hypothesis is also compared to several contemporary pscyhological accounts of choice. Results from several of our experiments with pigeons, designed as operant conditioning simulations of foraging, have shown the following: The more time subjects spend searching for or traveling between potential food sources, the less selective they become, that is, the more likely they are to accept the less preferred outcome; increasing time spent procuring (“handling”) food increases selectivity; how often the preferred outcome is available has a greater effect on choice then how often the less preferred outcome is available; subjects maximize reinforcement whether it is the rate, amount, or probability of reinforcement that is varied; there are no significant differences between subjects performing under different types of deprivation (open vs. closed economies). These results are all consistent with the delay-reduction hypothesis. Moreover, they suggest that the technology of the operant conditioning laboratory may have fruitful application in the study of foraging, and, in doing so, they underscore the importance of an interdisciplinary approach to behavior.


2007 ◽  
Vol 30 (1) ◽  
pp. 20-21 ◽  
Author(s):  
Robert L. Burgess ◽  
Peter C. M. Molenaar

Gintis's article is an example of growing awareness by social scientists of the significance of evolutionary theory for understanding human nature. Although we share its main point of view, we comment on some disagreements related to levels of behavioral analysis, the explanation of social cooperation, and the ubiquity of inter-individual differences in human decision-making.


2008 ◽  
Vol 23 (4) ◽  
pp. 321-337 ◽  
Author(s):  
Hongwei Yang ◽  
Zhigeng Pan ◽  
Mingmin Zhang ◽  
Chunhua Ju

AbstractEmotion is an important aspect of human intelligence and has been shown to play a significant role in the human decision-making process. This paper proposes a comprehensive computational model of emotions that can be incorporated into the physiological and social components of the emotions. Since interaction between characters can have a major impact on emotional dynamics, the model presents a social learning component for learning associations among characters, which in turn affects the character’s decision-making and social interactions. The model also designs a set of personality progression functions to enhance individual differences. In addition, we demonstrate this empirically through a computer simulation of a dynamic environment inhabited by a few characters to test our emotional model. The experiments show the effectiveness of our emotional model to build believable characters during interaction with the virtual environment.


2011 ◽  
Vol 30 (5) ◽  
pp. 505-523 ◽  
Author(s):  
Theodore P Pavlic ◽  
Kevin M Passino

Foraging theory has been the inspiration for several decision-making algorithms for task-processing agents facing random environments. As nature selects for foraging behaviors that maximize lifetime calorie gain or minimize starvation probability, engineering designs are favored that maximize returned value (e.g. profit) or minimize the probability of not reaching performance targets. Prior foraging-inspired designs are direct applications of classical optimal foraging theory (OFT). Here, we describe a generalized optimization framework that encompasses the classical OFT model, a popular competitor, and several new models introduced here that are better suited for some task-processing applications in engineering. These new models merge features of rate maximization, efficiency maximization, and risk-sensitive foraging while not sacrificing the intuitive character of classical OFT. However, the central contributions of this paper are analytical and graphical methods for designing decision-making algorithms guaranteed to be optimal within the framework. Thus, we provide a general modeling framework for solitary agent behavior, several new and classic examples that apply to it, and generic methods for design and analysis of optimal task-processing behaviors that fit within the framework. Our results extend the key mathematical features of optimal foraging theory to a wide range of other optimization objectives in biological, anthropological, and technological contexts.


Oecologia ◽  
2020 ◽  
Vol 194 (4) ◽  
pp. 621-634
Author(s):  
Jana A. Eccard ◽  
Thilo Liesenjohann ◽  
Melanie Dammhahn

AbstractForaging is risky and involves balancing the benefits of resource acquisition with costs of predation. Optimal foraging theory predicts where, when and how long to forage in a given spatiotemporal distribution of risks and resources. However, significant variation in foraging behaviour and resource exploitation remain unexplained. Using single foragers in artificial landscapes of perceived risks and resources with diminishing returns, we aimed to test whether foraging behaviour and resource exploitation are adjusted to risk level, vary with risk during different components of foraging, and (co)vary among individuals. We quantified foraging behaviour and resource exploitation for 21 common voles (Microtus arvalis). By manipulating ground cover, we created simple landscapes of two food patches varying in perceived risk during feeding in a patch and/or while travelling between patches. Foraging of individuals was variable and adjusted to risk level and type. High risk during feeding reduced feeding duration and food consumption more strongly than risk while travelling. Risk during travelling modified the risk effects of feeding for changes between patches and resulting evenness of resource exploitation. Across risk conditions individuals differed consistently in when and how long they exploited resources and exposed themselves to risk. These among-individual differences in foraging behaviour were associated with consistent patterns of resource exploitation. Thus, different strategies in foraging-under-risk ultimately lead to unequal payoffs and might affect lower trophic levels in food webs. Inter-individual differences in foraging behaviour, i.e. foraging personalities, are an integral part of foraging behaviour and need to be fully integrated into optimal foraging theory.


2019 ◽  
Author(s):  
Amir Dezfouli ◽  
Hassan Ashtiani ◽  
Omar Ghattas ◽  
Richard Nock ◽  
Peter Dayan ◽  
...  

AbstractIndividual characteristics in human decision-making are often quantified by fitting a parametric cognitive model to subjects’ behavior and then studying differences between them in the associated parameter space. However, these models often fit behavior more poorly than recurrent neural networks (RNNs), which are more flexible and make fewer assumptions about the underlying decision-making processes. Unfortunately, the parameter and latent activity spaces of RNNs are generally high-dimensional and uninterpretable, making it hard to use them to study individual differences. Here, we show how to benefit from the flexibility of RNNs while representing individual differences in a low-dimensional and interpretable space. To achieve this, we propose a novel end-to-end learning framework in which an encoder is trained to map the behavior of subjects into a low-dimensional latent space. These low-dimensional representations are used to generate the parameters of individual RNNs corresponding to the decision-making process of each subject. We introduce terms into the loss function that ensure that the latent dimensions are informative and disentangled, i.e., encouraged to have distinct effects on behavior. This allows them to align with separate facets of individual differences. We illustrate the performance of our framework on synthetic data as well as a dataset including the behavior of patients with psychiatric disorders.


Author(s):  
Herbert D. G. Maschner

The reasons why evolutionary ecology and, more specifically, optimal foraging theory, do not work in many archaeological situations are varied. Most importantly however, is our lack of understanding of basic human decision-making processes in societies intermediate between bands and states. From evolutionary ecology, we can predict some foraging behavior and thus explain some of the settlement behavior of foraging societies (Mithen 1991; Smith 1991). In states and empires, we can use modern microeconomic theory to predict settlement, trade, and political organization. However, we have very little understanding of how to predict behavior in societies that fall between these two extremes. One of the basic assumptions of modern economic, geographical, and cultural ecological studies is that humans are energy maximizers. Ecologists view this ability to be economically efficient as a product of our evolutionary history of being adaptive (Jochim 1981; Krebs and Davies 1991; Smith and Winterhalder 1992; Stephens and Krebs 1986; Winterhalder and Smith 1981). Support for this assumption is clearly seen in studies of small, mobile foraging societies where individuals and kin-based groups tend to maximize their economic return with subsistence and settlement behaviors that most would agree are adaptive in that particular context (Jochim 1981; Mithen 1991; Smith 1991). For sedentary communities with more complex political organizations (tribes and simple chiefdoms), however, this is not the case, and this discrepancy is seen archaeologically in settlement and subsistence strategies that do not conform to predictions derived from optimal foraging theory. Thus, an underlying assumption in ecological studies is that models of subsistence economizing behavior and studies of subsistence efficiency will work well for hunters and gatherers (Keene 1981; Winterhalder and Smith 1981) or small-scale horticulturalists (Keegan 1986), but will decrease in their explanatory power with increasing social and political complexity. Although this has not been specifically tested, the fact that optimal foraging theory is less effective in explaining behavior in agricultural and sedentary hunter-and-gatherer societies (Maschner 1992) and is not usually applied to chiefdoms and states at all supports this contention.


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