Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

In recent years, the application of computational modeling in studies on age-related
changes in decision making and learning has gained in popularity. One advantage of …

Despite substantial efforts to examine the factors driving green supply chain management
practices and environmental performance in emerging markets, the roles of green digital …

This study builds a conceptual model of strategic decision-making ability that leads to
entrepreneurial performance (EP) based on the two-system decision-making theory and …

Background The Cognitive Load Theory provides a well-established framework for
investigating aspects of learning situations that demand learners' working memory …

Many decisions rely on past experiences. Recent research indicates that people's choices
are biased towards choosing better-remembered options, even if these options are …

Several theories of cognition distinguish between strategies that differ in the mental effort
that their use requires. But how can the effort—or cognitive costs—associated with a strategy …

Abstract Information stored in memory influences the formation of preferences and beliefs in
most everyday decision tasks. The richness of this information, and the complexity inherent …

Traditionally, descriptive accounts of intertemporal choice have relied on static and
deterministic models that assume alternative-wise processing of the options. Recent …

Higher cognitive functions are the product of a dynamic interplay of perceptual, mnemonic,
and other cognitive processes. Modeling the interplay of these processes and generating …