Hippocampal neurons construct a map of an abstract value space

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The algorithmic anatomy of model-based evaluation

Despite many debates in the first half of the twentieth century, it is now largely a truism that humans and other animals build models of their environments and use them for prediction and control. However, model-based (MB) reasoning presents severe computational challenges. Alternative, computationally simpler, model-free (MF) schemes have been suggested in the reinforcement learning literature, and have afforded influential accounts of behavioural and neural data. Here, we study the realization of MB calculations, and the ways that this might be woven together with MF values and evaluation methods. There are as yet mostly only hints in the literature as to the resulting tapestry, so we offer more preview than review.     

Using social values in the prioritization of research: Quantitative examples and generalizations

1. Identifying critical uncertainties about ecological systems can help prioritize research efforts intended to inform management decisions. However, exclusively focusing on the ecological system neglects the objectives of natural resource managers and the associated social values tied to risks and rewards of actions.
2. I demonstrate how to prioritize research efforts for a harvested population by applying expected value of perfect information (EVPI) to harvest decisions made with a density‐independent matrix population model. Research priorities identified by EVPI diverge from priorities identified by matrix elasticity analyses that ignore social utility.
3. Using a density‐dependent harvest model, the value of information about the intrinsic productivity of a population is shown to be sensitive to the socially determined penalty for implementing a harvest rate that deviates from the goal because of imperfection in estimation.
4. Synthesis and applications. The effect of including social values into harvest decision‐making depends on the assumed population model, uncertainty in population vital rates, and the particular form of the utility function used to represent risk/reward of harvest. EVPI analyses that include perceived utility of different outcomes can be used by managers seeking to optimize monitoring and research spending. Collaboration between applied ecologists and social scientists that quantitatively measure peoples'' values is needed in many structured decision‐making processes.

     

Background context and decision making in hoarding gray jays

If decision makers assign stable fitness-related values to options, preference for the most valuable of simultaneously encounteredoptions should be independent of background context (i.e.,prior options). The tendency to choose optionx versus y shouldbe unaffected by whether the decision maker has already beengiven a choice betweenx' and y' or between x' and y'. Here, food-hoarding gray jays (Perisoreus canadensis) were given aninitial choice between x' (one raisin, 0.5 m into a tube) and y' (three raisins, 0.5 m) or between x' and y' (both identicalto x'). All subjects were then given a choice between x' (oneraisin, 0.3 m) and y' (three raisins, 0.7 m). In violationof the principle of irrelevant alternatives, the "market share"ofx depended on prior options. Subjects initially exposed tocontext {x', y'} showed a stronger preference for x than did subjects initially exposed to {x', y'}, which implies thatthe jays did not assign a fixed value to each option. Subjectsthat initially could obtain a large reward (y') for about thesame "price" (perceived danger) as a small reward (x') apparentlydevalued the large reward (y) in the subsequent choice. Thiseffect may be the joint byproduct of cognitive constraints andan adaptive tendency to use information provided by the context.     

Value of information in natural resource management: technical developments and application to pink‐footed geese

The “value of information” (VOI) is a generic term for the increase in value resulting from better information to guide management, or alternatively, the value foregone under uncertainty about the impacts of management (Yokota and Thompson, Medical Decision Making 2004; 24 : 287). The value of information can be characterized in terms of several metrics, including the expected value of perfect information and the expected value of partial information. We extend the technical framework for the value of information by further developing the relationship between value metrics for partial and perfect information and describing patterns of their performance. We use two different expressions for the expected value of partial information to highlight its relationship to the expected value of perfect information. We also develop the expected value of partial information for hierarchical uncertainties. We highlight patterns in the value of information for the Svalbard population of the pink‐footed goose (Anser brachyrhynchus), a population that is subject to uncertainty in both reproduction and survival functions. The framework for valuing information is seen as having widespread potential in resource decision making, and serves as a motivation for resource monitoring, assessment, and collaboration.     

高等医学院校行政成本控制系统评估初探

降低行政成本对高等医学院校及其附属医院的可持续发展具有重要意义,引入成本控制系统是一个有前景的解决方案。基于TOPSIS方法建立了评估成本控制系统的数学模型,实例表明建立的数学模型简单有效,有助于定量决策。     

Context-dependent persistency as a coding mechanism for robust and widely distributed value coding

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Habitual daily intake of a sweet and fatty snack modulates reward processing in humans

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网络成瘾者奖赏系统和认知控制系统的神经机制

网络成瘾作为一种行为成瘾,已成为严重影响人们心理健康的全球性问题.根据大脑发育的神经生物模型,揭示网络成瘾者奖赏和认知控制系统的神经机制是解决网络成瘾问题的关键,也是心理学研究的重大问题.行为研究探讨了网络成瘾具有高奖赏寻求和低认知控制特征;神经机制研究揭示了奖赏和认知控制系统的缺陷是网络成瘾行为的高风险因素;与药物成瘾的比较研究发现,网络成瘾有着独特的奖赏机制.这些研究深化了对网络成瘾心理和神经机制的理解,但仍存在网络成瘾筛查和入组标准不科学、分型笼统、因果研究匮乏、干预和治疗效果具有争议、研究范式存在漏洞等一些急需解决的问题.     

Cross-task specificity and within-task invariance of cognitive control processes

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Using value of information to prioritize research needs for migratory bird management under climate change: a case study using federal land acquisition in the United States

In response to global habitat loss, many governmental and non‐governmental organizations have implemented land acquisition programs to protect critical habitats permanently for priority species. The ability of these protected areas to meet future management objectives may be compromised if the effects of climate change are not considered in acquisition decisions. Unfortunately, the effects of climate change on ecological systems are complex and plagued by uncertainty, making it difficult for organizations to prioritize research needs to improve decision‐making. Herein, we demonstrate the use of qualitative value of information analysis to identify and prioritize which sources of uncertainty should be reduced to improve land acquisition decisions to protect migratory birds in the face of climate change. The qualitative value of information analysis process involves four steps: (i) articulating alternative hypotheses; (ii) determining the magnitude of uncertainty regarding each hypothesis; (iii) evaluating the relevance of each hypothesis to acquisition decision‐making; and (iv) assessing the feasibility of reducing the uncertainty surrounding each hypothesis through research and monitoring. We demonstrate this approach using the objectives of 3 U.S. federal land acquisition programs that focus on migratory bird management. We used a comprehensive literature review, expert elicitation, and professional judgement to evaluate 11 hypotheses about the effect of climate change on migratory birds. Based on our results, we provide a list of priorities for future research and monitoring to reduce uncertainty and improve land acquisition decisions for the programs considered in our case study. Reducing uncertainty about how climate change will influence the spatial distribution of priority species and biotic homogenization were identified as the highest priorities for future research due to both the value of this information for improving land acquisition decisions and the feasibility of reducing uncertainty through research and monitoring. Research on how changes in precipitation patterns and winter severity will influence migratory bird abundance is also expected to benefit land acquisition decisions. By contrast, hypotheses about phenology and migration distance were identified as low priorities for research. By providing a rigorous and transparent approach to prioritizing research, we demonstrate that qualitative value of information is a valuable tool for prioritizing research and improving management decisions in other complex, high‐uncertainty cases where traditional quantitative value of information analysis is not possible. Given the inherent complexity of ecological systems under climate change, and the difficulty of identifying management‐relevant research priorities, we expect this approach to have wide applications within the field of natural resource management.