OK! caught up with British pop star Conor Maynard at his show at The Studio at Webster Hall in New York City. To celebrate the release of his new album Contrast we asked him to contrast a few of his favorite things: food, singers, technology and more!
Multiple regression was used to compare abundance, richness and diversity among hybrids and A. tuberosa. There was no difference in abundance among both hybrid genotypes, A. tuberosa hirtella and A. tuberosa syriaca. However, pollinators were more abundant on hybrids than on A. tuberosa (P = 0.0285); the two hybrids on average having 1.3 more visitors that A. tuberosa. Pollinator abundance increased with increasing floral area for A. tuberosa, A. tuberosa hirtella and A. tuberosa syriaca (P > 0.001), with an additional visitor per 5 cm2 increase in floral area (Fig. 3A). It would be expected that insect abundance increases with increased floral area, as the plants can support more pollinators simultaneously. Further, pollinator species forage by recognizing contrasts in floral display against a green vegetative background (Kevan 1972, Willmer 2011). As floral area increases, there is more area contrasting green vegetative backgrounds, which could make the planting easier to recognize when a pollinator is foraging. This too could have contributed to the increase in pollinator abundance with increasing floral area. It is not clear why the hybrids attracted more pollinators than A. tuberosa. The interspecific hybrids of Asclepias were selected for novel coloration. It is possible that this increased the ability for pollinators to distinguish flowers from vegetative backgrounds.
It is commonplace to contrast how people render judgments, or makedecisions, from how they ought to do so. However, interest incognitive processes, mechanisms, and algorithms of boundedly rationaljudgment and decision making suggests that we instead distinguishamong three aims of inquiry rather than these two. Briefly, adescriptive theory aims to explain or predict what judgmentsor decisions people in fact make; a prescriptive theory aimsto explain or recommend what judgments or decisions people ought tomake; a normative theory aims to specify a normative standardto use in evaluating a judgment or decision.
In contrast to this poor showing on cognitive tasks, people aregenerally thought to be optimal or near-optimal in performinglow-level motor control and perception tasks. Planning goal-directedmovement, like pressing an elevator button with your finger or placingyour foot on a slippery river stone, requires your motor controlsystem to pick one among a dizzying number of possible movementstrategies to achieve your goal while minimizing biomechanical costs(Trommershäuser, Maloney, & Landy 2003). The loss functionthat our motor control system appears to use increases approximatelyquadratically with error for small errors but significantly less forlarge errors, suggesting that our motor control system is also robustto outliers (Körding & Wolpert 2004). What is more, advancesin machine learning have been guided by treating human performanceerrors for a range of perception tasks as proxies for Bayes error,yielding an observable, near-perfect normative standard. Unlikecognitive decisions, there is very little controversy concerning theoverall optimality of our motor-perceptual decisions. This differencebetween high-level and low-level decisions is called theperception-cognition gap.
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