VALUE OF FOOD AGGREGATES
VALUE OF FOOD AGGREGATES
批准号:
2249639
负责人:
Daniela Brunner
金额:
$7.82万
依托单位国家:
美国
项目类别:
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-01-01 至 1995-12-31
中文摘要
描述(改编自申请人摘要):本申请
建议研究鸽子对不同食物量的选择,
了解食物价值是如何建立的,
关于食物量的信息被处理并采取行动。前两个
实验旨在理解心理物理尺度,
是食物信息处理的基础。 不同的食物来源与
将研究使用剩余时间范例的固定食物来源。
通过操纵喂食器,
访问持续时间。 结果将根据几个方面进行分析。
理论账户 实验3将测试的通用性
结果从剩下的时间范式到另一个选择程序,
滴定设计 实验4和5将研究
变量期权的不同概率结构。三种不同
为项目的最后阶段提出了研究方向。 的
第一个将分析食物价值归因的情况下,
由离散的项目组成,而不是连续的馈线接入。 的
第二行将调查哪种货币的动物使用,
重视食物。 使用小球的实验将使用不同的
能量含量作为不同的奖励幅度,以分离
食物奖赏的时间和数量特征。 第三个也是最后
线将扩展实验2和4的结果的情况下,
存在具有复杂概率分布的可变期权。
英文摘要
DESCRIPTION (Adapted from applicant's abstract): This application
proposes to study pigeons' choice for variable food magnitude in order
to understand how food value is established and how variable information
about food magnitude is processed and acted upon.The first two
experiments are directed at understanding the psychophysical scale that
underlies food information processing. Variable food sources versus
fixed food sources using the time-left paradigm will be investigated.
Variability in food magnitude will be introduced by manipulating feeder
access duration. The results will be analyzed in light of several
theoretical accounts. Experiment 3 will test the generality of the
findings from the time-left paradigm to another choice procedure, a
titration design. Experiments 4 and 5 will study the effects of
differing probability structures for the variable option. Three different
lines of research are proposed for the final stages of the project. The
first one will analyze food value attribution in a situation where food
consist of discrete items, rather than a continuous feeder access. The
second line will investigate which kind of currencies animals use to
value food. Experiments using pellets will be conducted with different
energetic content as different reward magnitudes, in order to separate
temporal and quantitative features of food reward. The third and last
line will extend the findings of experiments 2 and 4 to a situation where
there are variable options with complex probability distributions.
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