scholarly journals Linking behavioural syndromes and cognition: a behavioural ecology perspective

2012 ◽  
Vol 367 (1603) ◽  
pp. 2762-2772 ◽  
Author(s):  
Andrew Sih ◽  
Marco Del Giudice
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Behavioural Ecology ◽  
Risk Sensitivity ◽  
Model Species ◽  
Behavioural Syndromes ◽  
Trade Offs ◽  
Behavioural Types ◽  
Cognitive Speed ◽  
Speed Accuracy

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.

scholarly journals Quorums enable optimal pooling of independent judgements

2018 ◽  
Author(s):  
James Marshall ◽  
Ralf H.J.M. Kurvers ◽  
Jens Krause ◽  
Max Wolf
Keyword(s):  
Decision Making ◽  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Collective Decision ◽  
Majority Voting ◽  
Single Shot ◽  
Collective Decision Making ◽  
Trade Offs ◽  
Speed Accuracy

Majority-voting and the Condorcet Jury Theorem pervade thinking about collective decision-making. Thus, it is typically assumed that majority-voting is the best possible decision mechanism, and that scenarios exist where individually-weak decision-makers should not pool information. Condorcet and its applications implicitly assume that only one kind of error can be made, yet signal detection theory shows two kinds of errors exist, ‘false positives’ and ‘false negatives’. We apply signal detection theory to collective decision-making to show that majority voting is frequently sub-optimal, and can be optimally replaced by quorum decision-making. While quorums have been proposed to resolve within-group conflicts, or manage speed-accuracy trade-offs, our analysis applies to groups with aligned interests undertaking single-shot decisions. Our results help explain the ubiquity of quorum decision-making in nature, relate the use of sub- and super-majority quorums to decision ecology, and may inform the design of artificial decision-making systems.Impact StatementTheory typically assumes that majority voting is optimal; this is incorrect – majority voting is typically sub-optimal, and should be replaced by sub-majority or super-majority quorum voting. This helps explain the prevalence of quorum-sensing in even the simplest collective systems, such as bacterial communities.

scholarly journals Context-Dependent Urgency Influences Speed–Accuracy Trade-Offs in Decision-Making and Movement Execution

2014 ◽  
Vol 34 (49) ◽  
pp. 16442-16454 ◽  
Author(s):  
David Thura ◽  
Ignasi Cos ◽  
Jessica Trung ◽  
Paul Cisek
Keyword(s):  
Decision Making ◽  
Movement Execution ◽  
Trade Offs ◽  
Context Dependent ◽  
Speed Accuracy

scholarly journals Individual differences in behaviour explain variation in survival: a meta-analysis

2019 ◽  
Author(s):  
Maria Moiron ◽  
Kate L. Laskowski ◽  
Petri Toivo Niemelä
Keyword(s):  
Individual Differences ◽  
Empirical Evidence ◽  
Meta Analysis ◽  
Animal Personality ◽  
Trade Off ◽  
Trade Offs ◽  
In The Wild ◽  
Behavioural Types ◽  
Risky Behaviours ◽  
First Time

Research focusing on among-individual differences in behaviour (“animal personality”) has been blooming for over a decade. One of the central theories explaining the maintenance of behavioural variation posits a trade-off between behaviour and survival with individuals expressing greater “risky” behaviours suffering higher mortality. Here, for the first time, we synthesize the existing empirical evidence for this key prediction. Our results did not support this prediction as there was no directional relationship between riskier behaviour and greater mortality; however there was a significant absolute relationship between behaviour and survival. In total, behaviour explained a significant, but small, portion (4.4%) of the variance in survival. We also found that risky (versus “shy”) behavioural types live longer in the wild, but not in the laboratory. This suggests that individuals expressing risky behaviours might be of overall higher quality but the lack of predation pressure and resource restrictions mask this effect in laboratory environments. Our work implies that individual differences in behaviour explain important differences in survival but not in the direction predicted by theory. Importantly, this suggests that the models predicting survival trade-offs may need revision and/or empiricists may need to reconsider their proxies of risky behaviours when testing such theory.

scholarly journals Stability and Change in Diffusion Model Parameters over Two Years

2021 ◽  
Vol 9 (2) ◽  
pp. 26
Author(s):  
Mischa von Krause ◽  
Stefan T. Radev ◽  
Andreas Voss ◽  
Martin Quintus ◽  
Boris Egloff ◽  
...  
Keyword(s):  
Individual Differences ◽  
Diffusion Model ◽  
Processing Speed ◽  
Rank Order ◽  
Temporal Stability ◽  
Model Parameters ◽  
Stability And Change ◽  
Trade Offs ◽  
Time Period ◽  
Speed Accuracy

In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed–accuracy trade-offs, and duration of non-decisional processes. The diffusion model estimates individual parameters of cognitive process components, thus allowing the study of individual differences. These parameters are often assumed to show trait-like properties, that is, within-person stability across tasks and time. However, the assumption of temporal stability has so far been insufficiently investigated. With this work, we explore stability and change in diffusion model parameters by following over 270 participants across a time period of two years. We analysed four different aspects of stability and change: rank-order stability, mean-level change, individual differences in change, and profile stability. Diffusion model parameters showed strong rank-order stability and mean-level changes in processing speed and speed–accuracy trade-offs that could be attributed to practice effects. At the same time, people differed little in these patterns across time. In addition, profiles of individual diffusion model parameters proved to be stable over time. We discuss implications of these findings for the use of the diffusion model in individual differences research.

scholarly journals A Diffusion Model Approach for Understanding the Impact of 17 Interventions on the Race Implicit Association Test

2020 ◽  
pp. 014616722097448
Author(s):  
Jessica Röhner ◽  
Calvin K. Lai
Keyword(s):  
Decision Making ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Measure ◽  
Implicit Association ◽  
Implicit Measures ◽  
Long Term Effects ◽  
Trade Offs ◽  
The Impact ◽  
Speed Accuracy

Performance on implicit measures reflects construct-specific and nonconstruct-specific processes. This creates an interpretive issue for understanding interventions to change implicit measures: Change in performance could reflect changes in the constructs of interest or changes in other mental processes. We reanalyzed data from six studies ( N = 23,342) to examine the process-level effects of 17 interventions and one sham intervention to change race implicit association test (IAT) performance. Diffusion models decompose overall IAT performance ( D-scores) into construct-specific (ease of decision-making) and nonconstruct-specific processes (speed–accuracy trade-offs, non-decision-related processes like motor execution). Interventions that effectively reduced D-scores changed ease of decision-making on compatible and incompatible trials. They also eliminated differences in speed–accuracy trade-offs between compatible and incompatible trials. Non-decision-related processes were affected by two interventions only. There was little evidence that interventions had any long-term effects. These findings highlight the value of diffusion modeling for understanding the mechanisms by which interventions affect implicit measure performance.

scholarly journals Speed versus accuracy in decision-making ants: expediting politics and policy implementation

2008 ◽  
Vol 364 (1518) ◽  
pp. 845-852 ◽  
Author(s):  
Nigel R Franks ◽  
François-Xavier Dechaume-Moncharmont ◽  
Emma Hanmore ◽  
Jocelyn K Reynolds
Keyword(s):  
Decision Making ◽  
Quorum Sensing ◽  
Policy Implementation ◽  
Positive Feedback ◽  
High Speed ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Tandem Running ◽  
Trade Offs ◽  
Speed Accuracy

Compromises between speed and accuracy are seemingly inevitable in decision-making when accuracy depends on time-consuming information gathering. In collective decision-making, such compromises are especially likely because information is shared to determine corporate policy. This political process will also take time. Speed–accuracy trade-offs occur among house-hunting rock ants, Temnothorax albipennis . A key aspect of their decision-making is quorum sensing in a potential new nest. Finding a sufficient number of nest-mates, i.e. a quorum threshold (QT), in a potential nest site indicates that many ants find it suitable. Quorum sensing collates information. However, the QT is also used as a switch, from recruitment of nest-mates to their new home by slow tandem running, to recruitment by carrying, which is three times faster. Although tandem running is slow, it effectively enables one successful ant to lead and teach another the route between the nests. Tandem running creates positive feedback; more and more ants are shown the way, as tandem followers become, in turn, tandem leaders. The resulting corps of trained ants can then quickly carry their nest-mates; but carried ants do not learn the route. Therefore, the QT seems to set both the amount of information gathered and the speed of the emigration. Low QTs might cause more errors and a slower emigration—the worst possible outcome. This possible paradox of quick decisions leading to slow implementation might be resolved if the ants could deploy another positive-feedback recruitment process when they have used a low QT. Reverse tandem runs occur after carrying has begun and lead ants back from the new nest to the old one. Here we show experimentally that reverse tandem runs can bring lost scouts into an active role in emigrations and can help to maintain high-speed emigrations. Thus, in rock ants, although quick decision-making and rapid implementation of choices are initially in opposition, a third recruitment method can restore rapid implementation after a snap decision. This work reveals a principle of widespread importance: the dynamics of collective decision-making (i.e. the politics) and the dynamics of policy implementation are sometimes intertwined, and only by analysing the mechanisms of both can we understand certain forms of adaptive organization.

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

2015 ◽  
Vol 28 ◽  
Author(s):  
Héctor Octavio Camarena Pérez ◽  
Oscar García-Leal
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Optimal Foraging ◽  
Optimal Foraging Theory ◽  
Food Delivery ◽  
Choice Situation ◽  
Risk Sensitivity ◽  
Novelty Seeking ◽  
Budget Model ◽  
Human Decision

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.

scholarly journals Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making

eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Jan Drugowitsch ◽  
Gregory C DeAngelis ◽  
Dora E Angelaki ◽  
Alexandre Pouget
Keyword(s):  
Decision Making ◽  
Time Pressure ◽  
Human Subjects ◽  
Neural Population ◽  
Trade Off ◽  
Reward Rate ◽  
Trade Offs ◽  
Sensory Modalities ◽  
Effective Decision Making ◽  
Speed Accuracy

For decisions made under time pressure, effective decision making based on uncertain or ambiguous evidence requires efficient accumulation of evidence over time, as well as appropriately balancing speed and accuracy, known as the speed/accuracy trade-off. For simple unimodal stimuli, previous studies have shown that human subjects set their speed/accuracy trade-off to maximize reward rate. We extend this analysis to situations in which information is provided by multiple sensory modalities. Analyzing previously collected data (<xref ref-type="bibr" rid="bib4">Drugowitsch et al., 2014</xref>), we show that human subjects adjust their speed/accuracy trade-off to produce near-optimal reward rates. This trade-off can change rapidly across trials according to the sensory modalities involved, suggesting that it is represented by neural population codes rather than implemented by slow neuronal mechanisms such as gradual changes in synaptic weights. Furthermore, we show that deviations from the optimal speed/accuracy trade-off can be explained by assuming an incomplete gradient-based learning of these trade-offs.

scholarly journals Motion-guided attention promotes adaptive communications during social navigation

2013 ◽  
Vol 280 (1754) ◽  
pp. 20122003 ◽  
Author(s):  
B. H. Lemasson ◽  
J. J. Anderson ◽  
R. A. Goodwin
Keyword(s):  
Decision Making ◽  
Visual Information ◽  
Social Cues ◽  
Individual Risk ◽  
Limited Attention ◽  
Uncertain Environments ◽  
Social Navigation ◽  
Social Coordination ◽  
Trade Offs ◽  
Speed Accuracy

Animals are capable of enhanced decision making through cooperation, whereby accurate decisions can occur quickly through decentralized consensus. These interactions often depend upon reliable social cues, which can result in highly coordinated activities in uncertain environments. Yet information within a crowd may be lost in translation, generating confusion and enhancing individual risk. As quantitative data detailing animal social interactions accumulate, the mechanisms enabling individuals to rapidly and accurately process competing social cues remain unresolved. Here, we model how motion-guided attention influences the exchange of visual information during social navigation. We also compare the performance of this mechanism to the hypothesis that robust social coordination requires individuals to numerically limit their attention to a set of n -nearest neighbours. While we find that such numerically limited attention does not generate robust social navigation across ecological contexts, several notable qualities arise from selective attention to motion cues. First, individuals can instantly become a local information hub when startled into action, without requiring changes in neighbour attention level. Second, individuals can circumvent speed–accuracy trade-offs by tuning their motion thresholds. In turn, these properties enable groups to collectively dampen or amplify social information. Lastly, the minority required to sway a group's short-term directional decisions can change substantially with social context. Our findings suggest that motion-guided attention is a fundamental and efficient mechanism underlying collaborative decision making during social navigation.

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