Sentence examples for evolutionary motivations from inspiring English sources

Exact(2)

The men who enforce and undergo the rituals are no more aware of the underlying evolutionary motivations than of why their testicles are the size they are.

This view provides a basis for relating human experiences in virtual environments to several theories that explain cognition and brain function on many levels, from ultimate evolutionary motivations to plausible neural implementations.

Similar(58)

Evolutionary psychology posits that this is a result of kinship rather than other factors such as poverty; stepparents do not share genes with their children and are expected to have less evolutionary motivation to nurture them.

Furthermore, the very existence of the two languages (with the code being a translational intermediary) implies an evolutionary motivation.

Although no evolutionary motivation for it has been posited, the broadening hypothesis holds that positive affect extends spatial attention to large-scale stimulus features.

In behavioral studies, intrinsic motivation has been linked to more positive self-reported experience (Leary, 2007), and from an evolutionary perspective, intrinsic motivation is thought to facilitate exploration and lead to knowledge or skills that confer a fitness advantage (Berlyne, 1966; Hebb, 1955).

While it is a credible hypothesis that the experience of sexual pleasure, for instance, arose out of the evolutionary process, the motivation itself has nothing to do with procreation, and in fact it motivates humans to avoid procreation.

The article concludes by discussing the value of integrating proximate social psychological and ultimate evolutionary approaches to motivation science.

That is an enormous payoff, and it's the kind of thing that people in medical research have felt all of their lives, but it's a new motivation for evolutionary biologists, and it's a revelation to them to realize that they could bring that to the table".

Unfortunately, rather than a dialogue that explores what scientists think about the natural world and why, public conversations are riddled with misunderstandings, distortions, and accusations about the scientific validity of evolutionary science and even the motivations of scientists.

This context provides the main motivation for using evolutionary algorithms to solve multi-criteria optimization problems.

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