Deciding group movements: Where and when to go

A group of animals can only move cohesively, if group members “somehow” reach a consensus about the timing (e.g., start) and the spatial direction/destination of the collective movement. Timing and spatial decisions usually differ with respect to the continuity of their cost/benefit distribution in such a way that, in principle, compromises are much more feasible in timing decision (e.g., median preferred time) than they are in spatial decisions. The consequence is that consensus costs connected to collective timing decisions are usually less skewed amongst group members than are consensus costs connected to spatial decisions. This, in turn, influences the evolution of decision sharing: sharing in timing decisions is most likely to evolve when conflicts are high relative to group cohesion benefits, while sharing in spatial decisions is most likely to evolve in the opposite situation. We discuss the implications of these differences for the study of collective movement decisions.     

Introduction. Neuroeconomics: the promise and the profit

Neuroeconomics investigates the neural mechanisms underlying decisions about rewarding or punishing outcomes ('economic' decisions). It combines the knowledge about the behavioural phenomena of economic decisions with the mechanistic explanatory power of neuroscience. Thus, it is about the neurobiological foundations of economic decision making. It is hoped that by 'opening the box' we can understand how decisions about gains and losses are directed by the brain of the individual decision maker. Perhaps we can even learn why some decisions are apparently paradoxical or pathological. The knowledge could be used to create situations that avoid suboptimal decisions and harm.     

Can Sophie's Choice Be Adequately Captured by Cold Computation of Minimizing Losses? An fMRI Study of Vital Loss Decisions

The vast majority of decision-making research is performed under the assumption of the value maximizing principle. This principle implies that when making decisions, individuals try to optimize outcomes on the basis of cold mathematical equations. However, decisions are emotion-laden rather than cool and analytic when they tap into life-threatening considerations. Using functional magnetic resonance imaging (fMRI), this study investigated the neural mechanisms underlying vital loss decisions. Participants were asked to make a forced choice between two losses across three conditions: both losses are trivial (trivial-trivial), both losses are vital (vital-vital), or one loss is trivial and the other is vital (vital-trivial). Our results revealed that the amygdala was more active and correlated positively with self-reported negative emotion associated with choice during vital-vital loss decisions, when compared to trivial-trivial loss decisions. The rostral anterior cingulate cortex was also more active and correlated positively with self-reported difficulty of choice during vital-vital loss decisions. Compared to the activity observed during trivial-trivial loss decisions, the orbitofrontal cortex and ventral striatum were more active and correlated positively with self-reported positive emotion of choice during vital-trivial loss decisions. Our findings suggest that vital loss decisions involve emotions and cannot be adequately captured by cold computation of minimizing losses. This research will shed light on how people make vital loss decisions.     

The effect of financing decisions on the choice of manufacturing technologies

This paper demonstrates the importance of jointly considering financing and technology choices when making manufacturing investments. We show that considerable value can be added to investments through financing decisions, and that the gains due to financing are sensitive to technology choice. A model of financing and technology choice is presented that considers differences in cost structure and product flexibility, and applies it to an example involving flexible manufacturing systems (FMSs). Three main results emerge. First, optimal financing decisions are different for different technologies and the choice of technology can change when financing and technology decisions are made simultaneously. Second, if one technology's fixed and variable costs are lower or its initial investment higher than another technology's the former has higher value added due to financing. Since empirical data shows that FMS and conventional technologies have this pattern, ignoring the benefits of debt financing leads to undervaluation of new technology. Third, product flexibility can add considerable value through its effect on financing decisions because product flexibility reduces variability of cash flows. A major conclusion is that financing and technology choice are long-term strategic decisions that should be made jointly. Firms that make these decisions separately, not considering the effect of one on the other, may make suboptimal technology decisions.     

Conflicts of interest and the evolution of decision sharing

Social animals regularly face consensus decisions whereby they choose, collectively, between mutually exclusive actions. Such decisions often involve conflicts of interest between group members with respect to preferred action. Conflicts could, in principle, be resolved, either by sharing decisions between members (‘shared decisions’) or by one ‘dominant’ member making decisions on behalf of the whole group (‘unshared decisions’). Both, shared and unshared decisions, have been observed. However, it is unclear as to what favours the evolution of either decision type. Here, after a brief literature review, we present a novel method, involving a combination of self-organizing system and game theory modelling, of investigating the evolution of shared and unshared decisions. We apply the method to decisions on movement direction. We find that both, shared and unshared, decisions can evolve without individuals having a global overview of the group''s behaviour or any knowledge about other members'' preferences or intentions. Selection favours unshared over shared decisions when conflicts are high relative to grouping benefits, and vice versa. These results differ from those of group decision models relating to activity timings. We attribute this to fundamental differences between collective decisions about modalities that are disjunct (here, space) or continuous (here, time) with respect to costs/benefits.     

A Risk Elimination Coordination Method for Large Group Decision-Making in Natural Disaster Emergencies

ABSTRACT

In view of the risk characteristics of large group decision-making in emergencies and the difficultly in forming the decision scheme with low risk, the causes of generating risk in urgent group decisions are analyzed. The coordination framework for risk elimination in emergency decisions is constructed. The methods of risk measure and elimination for emergency decisions are proposed to construct the risk elimination coordination mechanism for emergency decisions so that the risk of emergency group decisions is gradually constringed to obtain the emergency decision scheme with risk degree low enough. Finally, an example case is used to validate the realization process and the validity of risk elimination coordination method and mechanism.     

Group decision making in fission-fusion societies: evidence from two-field experiments in Bechstein's bats

Group decisions are required when group coordination is beneficial, but individuals can choose between alternatives. Despite the increased interest in animal group decision making, there is a lack of experimental field studies that investigate how animals with conflicting information make group decisions. In particular, no field studies have considered the influence of fission-fusion behaviour (temporary splitting into subgroups) on group decisions. We studied group decision making in two wild Bechstein's bat colonies, which are fission-fusion societies of stable individual composition. Since they frequently switch communal roosts, colony members must regularly make group decisions over where to roost. In the two-field experiments, we provided marked individuals with conflicting information about the suitability of potential roosts. We investigated whether conflicting information led to group decisions that followed a 'unanimous' or a 'majority' rule, or increased colony fission. Individual behaviour suggests that bats considered both their own information and the behaviour of others when deciding where to roost. Group decisions about communal roosts reflected the information available to a majority of the bats roosting together, but conflicting information led to an increased fission in one colony. Our results suggest that fission-fusion societies allow individuals to avoid majority decisions that are not in their favour.     

Fragile lives with fragile rights: Justice for babies born at the limit of viability

There is an inconsistency in the ways that doctors make clinical decisions regarding the treatment of babies born extremely prematurely. Many experts now recommend that clinical decisions about the treatment of such babies be individualized and consider many different factors. Nevertheless, many policies and practices throughout Europe and North America still appear to base decisions on gestational age alone or on gestational age as the primary factor that determines whether doctors recommend or even offer life‐sustaining neonatal intensive care treatment. These policies are well intentioned. They aim to guide doctors and parents to make decisions that are best for the baby. That is an ethically appropriate goal. But in relying so heavily on gestational age, such policies may actually do the babies a disservice by denying some babies treatment that might be beneficial and lead to intact survival. In this paper, we argue that such policies are unjust to premature babies and ought to be abolished. In their place, we propose individualized treatment decisions for premature babies. This would treat premature babies as we treat all other patients, with clinical decisions based on an individualized estimation of likelihood that treatment would be beneficial.     

Courts as communicators: Can doctors learn from judges' decisions?

The role of the courts in 'communicating' with those affected by their decisions is contentious. Some legal commentators maintain that courts and legislators are able to communicate decisions effectively and that attempts to 'dumb down' the law will not make such decisions more accessible to doctors and other professionals. Justice Michael Kirby, on the other hand, seems to share the present author's view that judges could improve their communication of their decisions to a wider audience: 'In future, it seems inevitable that proceedings [of the High Court] will be broadcast live. Maybe one of the judges will explain the decisions of the court in simple terms as they are handed down ... Adaptation to new ways and values is part of the genius of our law, although some if its practitioners need to be dragged kicking and screaming to accomplish the changes' (emphasis added).(1) This article explores the position in Australia.     

Cortical and Hippocampal Correlates of Deliberation during Model-Based Decisions for Rewards in Humans

How do we use our memories of the past to guide decisions we''ve never had to make before? Although extensive work describes how the brain learns to repeat rewarded actions, decisions can also be influenced by associations between stimuli or events not directly involving reward — such as when planning routes using a cognitive map or chess moves using predicted countermoves — and these sorts of associations are critical when deciding among novel options. This process is known as model-based decision making. While the learning of environmental relations that might support model-based decisions is well studied, and separately this sort of information has been inferred to impact decisions, there is little evidence concerning the full cycle by which such associations are acquired and drive choices. Of particular interest is whether decisions are directly supported by the same mnemonic systems characterized for relational learning more generally, or instead rely on other, specialized representations. Here, building on our previous work, which isolated dual representations underlying sequential predictive learning, we directly demonstrate that one such representation, encoded by the hippocampal memory system and adjacent cortical structures, supports goal-directed decisions. Using interleaved learning and decision tasks, we monitor predictive learning directly and also trace its influence on decisions for reward. We quantitatively compare the learning processes underlying multiple behavioral and fMRI observables using computational model fits. Across both tasks, a quantitatively consistent learning process explains reaction times, choices, and both expectation- and surprise-related neural activity. The same hippocampal and ventral stream regions engaged in anticipating stimuli during learning are also engaged in proportion to the difficulty of decisions. These results support a role for predictive associations learned by the hippocampal memory system to be recalled during choice formation.     

Developmental decisions in Dictyostelium discoideum

Dictyostelium discoideum is an excellent system in which to study developmental decisions. Synchronous development is triggered by starvation and rapidly generates a limited number of cell types. Genetic and image analyses have revealed the elegant intricacies associated with this simple development system. Key signaling pathways identified as regulating cell fate decisions are likely to be conserved with metazoa and are providing insight into differentiation decisions under circumstances where considerable cell movement takes place during development.     

Social values and scientific evidence: the case of the HPV vaccines

Several have argued that the aims of scientific research are not always independent of social and ethical values. Yet this is often assumed only to have implications for decisions about what is studied, or which research projects are funded, and not for methodological decisions or standards of evidence. Using the case of the recently developed HPV vaccines, we argue that the social aims of research can also play important roles in justifying decisions about (1) how research problems are defined in drug development, (2) evidentiary standards used in testing drug “success”, and (3) clinical trial methodology. As a result, attending to the social aims at stake in particular research contexts will produce more rational methodological decisions as well as more socially relevant science.     

Managerial strategies in the captive propagation of endangered species

A captive propagation manager, committed to the welfare of captive populations of exotic animals, must often make decisions that are risky to individual animals. Innovative decisions that place animals at risk are essential to the progress of captive propagation. Such decisions must be grounded thoroughly on peer consultation, the scientific and zoo literature, and where possible on original applied research targeted specifically to the procedure in question. The management of two closely spaced births in a gorilla group is provided as an example.     

Understanding the multiple meanings of ‘inbreeding’ and ‘effective size’ for genetic management of African rhinoceros populations

Although some African rhinoceros populations are currently increasing, others are critically endangered. Even healthy populations are extensively managed in the wild and in captivity. While political and demographic considerations are of primary concern, many decisions are made in the name of genetic management. Such decisions should be informed by a full understanding of the multiple meanings of inbreeding and effective population size. In this essay, we examine inbreeding and effective size of wild and captive populations of African rhinoceroses. We conclude by showing how misunderstanding of effective size and Franklin’s 50/500 rule can make a crucial difference in informing management decisions.     

Private and Public Decisions in Social Dilemmas: Evidence from Children's Behavior

Are selfish impulses less likely to be pursued when decisions are publicly observable? Is the presence of peers a potential solution to social dilemmas? In this paper we report data on the self-control decisions of children aged 6 to 11 who participated in games that require one to resist a selfish impulse for several minutes in order to benefit others. In Public Condition children make decisions in public view of the group of other participants, while in Private Condition they have the possibility to decide privately. We find that children aged 9 and higher are better able to resist selfish impulses in public environments. Younger children, however, display no such effect. Further, we find self-control substantially impacted by group size. When decisions are public, self-control is better in larger groups, while in private condition the opposite holds.     

Modularity and predictability in cell signaling and decision making

Cells make decisions to differentiate, divide, or apoptose based on multiple signals of internal and external origin. These decisions are discrete outputs from dynamic networks comprised of signaling pathways. Yet the validity of this decomposition of regulatory proteins into distinct pathways is unclear because many regulatory proteins are pleiotropic and interact through cross-talk with components of other pathways. In addition to the deterministic complexity of interconnected networks, there is stochastic complexity arising from the fluctuations in concentrations of regulatory molecules. Even within a genetically identical population of cells grown in the same environment, cell-to-cell variations in mRNA and protein concentrations can be as high as 50% in yeast and even higher in mammalian cells. Thus, if everything is connected and stochastic, what hope could we have for a quantitative understanding of cellular decisions? Here we discuss the implications of recent advances in genomics, single-cell, and single-cell genomics technology for network modularity and cellular decisions. On the basis of these recent advances, we argue that most gene expression stochasticity and pathway interconnectivity is nonfunctional and that cellular decisions are likely much more predictable than previously expected.     

New Notes

All citizens will make bioethics decisions as a result of today's biotechnology revolution. The decisions made require citizens to find possible acceptable solutions to dilemmas that have become public issues. In this activity, students practice making decisions in ethical dilemmas after evaluating the influences of their own ethical beliefs and learning five ethical systems (relativism, divine command, utilitarianism, deontology, and virtue). They also learn systematic strategies that are useful for approaching any ethical dilemma. Alternatives and adaptations are provided or suggested to accommodate different maturity levels.     

Should I stay or should I go? Patch departure decisions by herbivores at multiple scales

The question of how much time a foraging herbivore should spend in a patch of food poses a central challenge in classical foraging theory. However, there remains uncertainty about the relevance of the patch paradigm to foraging decisions by large herbivores. This paper examines evidence for successfully predicting and quantifying patch departure decisions for large mammalian herbivores foraging across several spatial and temporal scales. Departure decisions at fine scales are influenced by tradeoffs between maximizing intake rate and food quality. Classical models for departure decisions at larger spatial scales, particularly the marginal value theorem, appear inadequate. We advocate exploring alternative models for predictions of residence time at the patch scale.     

A collaborative approach to bridging the gap between wildlife managers and researchers

Although most wildlife professionals agree that science should inform wildlife management decisions, disconnect still exists between researchers and managers. If researchers are not striving to incorporate their findings into management decisions, support for research programs by managers can wane. If managers are not using research findings to inform management decisions, those decisions may be less effective or more vulnerable to legal challenges. Both of these situations can have negative consequences for wildlife conservation. We outline a collaborative research-management approach to bridging the gap between wildlife managers and researchers. We describe differences in perspectives, perceptions, and priorities between managers and researchers; outline how and why the divide between researchers and managers has likely occurred and continues to grow; and present specific strategies and recommendations to foster stronger collaborations between managers and researchers. We advocate increased synergy between managers and researchers based on a shared vision of conservation and a collaborative structure that rewards researchers and managers. Most importantly, we suggest that relationships and communication between managers and researchers must be established early in research development and decision-making processes, fostering the trust needed for collaboration. Institutions and agencies can facilitate these relationships by creating opportunities and incentives for integrating collaborative research into management decisions. We suggest this approach will strengthen ties between researchers and managers, increase relevance of research to management decisions, promote effectiveness of management decisions, reduce legal challenges, and ultimately produce positive, tangible, and lasting effects on wildlife conservation. © 2019 The Wildlife Society.