Richard P. Mann
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View article: Stage 1 Registered Report: Collective Decision-Making Under Extinction Risk
Stage 1 Registered Report: Collective Decision-Making Under Extinction Risk Open
Humanity faces several risks, such as extreme climate change, that could lead to human extinction or societal collapse. However, there is little research on how people make decisions in the face of these risks. We introduce a paradigm for …
View article: A Non-Terminating Game of Beggar-My-Neighbor
A Non-Terminating Game of Beggar-My-Neighbor Open
View article: Evolutionary Tempo, Supertaxa, and Living Fossils
Evolutionary Tempo, Supertaxa, and Living Fossils Open
A relationship between the rate of molecular change and diversification has long been discussed, on both theoretical and empirical grounds. However, the effect on our understanding of evolutionary patterns is yet to be fully explored. Here…
View article: Agents seeking long-term access to the wisdom of the crowd reduce immediate decision-making accuracy
Agents seeking long-term access to the wisdom of the crowd reduce immediate decision-making accuracy Open
Living in groups offers social animals the significant advantage of accessing collective wisdom and enhanced information processing, enabling more accurate decisions related to foraging, navigation and habitat selection. Preserving group m…
View article: Accuracy, rationality and specialization in a generalized model of collective navigation
Accuracy, rationality and specialization in a generalized model of collective navigation Open
Animal navigation is a key behavioural process, from localized foraging to global migration. Within groups, individuals may improve their navigational accuracy by following those with more experience or knowledge, by pooling information fr…
View article: Random walks with spatial and temporal resets can explain individual and colony-level searching patterns in ants
Random walks with spatial and temporal resets can explain individual and colony-level searching patterns in ants Open
Central place foragers, such as many ants, exploit the environment around their nest. The extent of their foraging range is a function of individual movement, but how the movement patterns of large numbers of foragers result in an emergent…
View article: Collective behavior from surprise minimization
Collective behavior from surprise minimization Open
Collective motion is ubiquitous in nature; groups of animals, such as fish, birds, and ungulates appear to move as a whole, exhibiting a rich behavioral repertoire that ranges from directed movement to milling to disordered swarming. Typic…
View article: A Non-Terminating Game of Beggar-My-Neighbor
A Non-Terminating Game of Beggar-My-Neighbor Open
We demonstrate the existence of a non-terminating game of Beggar-My-Neighbor, discovered by lead author Brayden Casella. We detail the method for constructing this game and identify a cyclical structure of 62 tricks that is reached by 30 d…
View article: Random walks with spatial and temporal resets may underlie searching movements in ants
Random walks with spatial and temporal resets may underlie searching movements in ants Open
A bstract Many ant species are central place foragers, living in a nest and exploiting the surrounding environment. It is however unclear how their exploration behaviour relates to the emerging exploited area. Ants provide a great opportun…
View article: A covariant model of molecular and diversification patterns through time and the history of large clades
A covariant model of molecular and diversification patterns through time and the history of large clades Open
A bstract Rate shifts in speciation and extinction have been recognised as important contributors to the creation of evolutionary patterns. In particular, the distribution of modern clade sizes is difficult to reconcile with models that do…
View article: Agents seeking long-term access to the wisdom of the crowd reduce immediate decision-making accuracy
Agents seeking long-term access to the wisdom of the crowd reduce immediate decision-making accuracy Open
A bstract Living in groups offers social animals the significant advantage of accessing collective wisdom and enhanced information processing, enabling more accurate decisions related to foraging, navigation, and habitat selection. Preserv…
View article: Two Notorious Nodes: A Critical Examination of Relaxed Molecular Clock Age Estimates of the Bilaterian Animals and Placental Mammals
Two Notorious Nodes: A Critical Examination of Relaxed Molecular Clock Age Estimates of the Bilaterian Animals and Placental Mammals Open
The popularity of relaxed clock Bayesian inference of clade origin timings has generated several recent publications with focal results considerably older than the fossils of the clades in question. Here, we critically examine two such cla…
View article: Collective behavior from surprise minimization
Collective behavior from surprise minimization Open
Collective motion is ubiquitous in nature; groups of animals, such as fish, birds, and ungulates appear to move as a whole, exhibiting a rich behavioral repertoire that ranges from directed movement to milling to disordered swarming. Typic…
View article: Smart self-propelled particles: a framework to investigate the cognitive bases of movement
Smart self-propelled particles: a framework to investigate the cognitive bases of movement Open
Decision-making and movement of single animals or group of animals are often treated and investigated as separate processes. However, many decisions are taken while moving in a given space. In other words, both processes are optimized at t…
View article: Evolutionary stability of social interaction rules in collective decision-making
Evolutionary stability of social interaction rules in collective decision-making Open
Social animals can use the choices made by other members of their groups as cues in decision making. Individuals must balance the private information they receive from their own sensory cues with the social information provided by observin…
View article: Optimising collective accuracy among rational individuals in sequential decision-making with competition
Optimising collective accuracy among rational individuals in sequential decision-making with competition Open
Theoretical results underpinning the wisdom of the crowd, such as the Condorcet Jury Theorem, point to substantial accuracy gains through aggregation of decisions or opinions, but the foundations of this theorem are routinely undermined in…
View article: Smart self-propelled particles: a framework to investigate the cognitive bases of movement
Smart self-propelled particles: a framework to investigate the cognitive bases of movement Open
A bstract Decision-making and movement of single animals or group of animals are often treated and investigated as separate processes. However, many decisions are taken while moving in a given space. In other words, both processes are opti…
View article: Biologically inspired herding of animal groups by robots
Biologically inspired herding of animal groups by robots Open
A single sheepdog can bring together and manoeuvre hundreds of sheep from one location to another. Engineers and ecologists are fascinated by this sheepdog herding because of the potential it provides for ‘bio‐herding’: a biologically insp…
View article: Evolutionary stability of social interaction rules in collective decision-making
Evolutionary stability of social interaction rules in collective decision-making Open
A bstract Social animals can use the choices made by other members of their groups as cues in decision making. Individuals must balance the private information they receive from their own sensory cues with the social information provided b…
View article: Collective decision-making under changing social environments among agents adapted to sparse connectivity
Collective decision-making under changing social environments among agents adapted to sparse connectivity Open
Humans and other animals often follow the decisions made by others because these are indicative of the quality of possible choices, resulting in ‘social response rules’, that is, observed relationships between the probability that an agent…
View article: Optimising collective accuracy among rational individuals in sequential decision-making with competition
Optimising collective accuracy among rational individuals in sequential decision-making with competition Open
Theoretical results underpinning the Wisdom of Crowds, such as the Condorcet Jury Theorem, point to substantial accuracy gains through aggregation of decisions or opinions, but the foundations of this theorem are routinely undermined in ci…
View article: Empirical test of the many-wrongs hypothesis reveals weighted averaging of individual routes in pigeon flocks
Empirical test of the many-wrongs hypothesis reveals weighted averaging of individual routes in pigeon flocks Open
View article: Two notorious nodes: a critical examination of MCMCTree relaxed molecular clock estimates of the bilaterian animals and placental mammals
Two notorious nodes: a critical examination of MCMCTree relaxed molecular clock estimates of the bilaterian animals and placental mammals Open
The popularity of MCMCTree for Bayesian inference of clade origin timings has generated several recent publications with focal results considerably older than the fossils of the clades in question. Here we critically examine two such clade…
View article: Revisiting the replication crisis without false positives
Revisiting the replication crisis without false positives Open
Efforts to replicate portions of the scientific literature have lead to widely varying and often low rates of replicability. This has raised concerns over a ``replication crisis'' whereby many of the statistically significant claims in the…
View article: Micro-scale foundation with error quantification for the approximation of dynamics on networks
Micro-scale foundation with error quantification for the approximation of dynamics on networks Open
View article: Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability
Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability Open
Assessing the systemic effects of uncertainty that arises from agents'\npartial observation of the true states of the world is critical for\nunderstanding a wide range of scenarios. Yet, previous modeling work on agent\nlearning and decisi…
View article: Socioeconomic inequalities in cycling safety: An analysis of cycling injury risk by residential deprivation level in England
Socioeconomic inequalities in cycling safety: An analysis of cycling injury risk by residential deprivation level in England Open
View article: Collective decision-making under changing social environments among agents adapted to sparse connectivity
Collective decision-making under changing social environments among agents adapted to sparse connectivity Open
Humans and other animals often follow the decisions made by others because these are indicative of the quality of possible choices, resulting in `social response rules': observed relationships between the probability that an agent will mak…
View article: Evolutionary Reinforcement Learning Dynamics with Irreducible Environmental Uncertainty.
Evolutionary Reinforcement Learning Dynamics with Irreducible Environmental Uncertainty. Open
In this work we derive and present evolutionary reinforcement learning dynamics in which the agents are irreducibly uncertain about the current state of the environment. We evaluate the dynamics across different classes of partially observ…
View article: Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability
Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability Open
Assessing the systemic effects of uncertainty that arises from agents' partial observation of the true states of the world is critical for understanding a wide range of scenarios. Yet, previous modeling work on agent learning and decision-…