Behavioral and Brain Sciences最新文献

The target article argued that motivation constructs are treated as black boxes and called for work that specifies the mental computational processes underlying motivated behavior. In response to critical commentaries, we clarify our philosophical standpoint, elaborate on the meaning of mental computational processes and why past work was not sufficient, and discuss the opportunities to expand the scope of the framework.

Although in basic agreement with Murayama and Jach's call for greater attention to the black boxes underlying motivated behavior, we provide examples of our published suggestions regarding how subjective task value (and ability self-concepts) "gets into people's knowledge structures." We suggest additional mental computational processes to investigate and call for a developmental and situated individual differences approach to this work.

Though we see the potential for benefits from the development of process-oriented approaches, we argue that it falls prey to many of the same critiques raised about the existing construct level of analysis. The construct-level approach will likely dominate motivation research until we develop computational models that are not only accurate, but also broadly usable.

We argue that the target article's computational/reductionistic approach to motivation is insufficient to explain the energization of human behavior, because such explanation requires broad consideration of "what people are trying to do." We illustrate what is gained by retaining (rather than jettisoning) higher-order motivation constructs and show that the authors' approach assumes, but fails to name, such constructs.

Murayama and Jach claim that current motivational constructs do not specify causal processes (black-box problem) and that mental computational processes solve this problem. We argue, process-focused research requires theoretical frameworks addressing situational variations, individual differences, and their interaction. Classic achievement motivation theory provides comprehensive models with empirically measurable process-related constructs and predictions. Recent developments build on this, addressing motivation, action, and their socio-cultural and lifespan context. Theory-free mental computational processes cannot do any of that.

Understanding the psychological computations underlying motivation can shed light onto motivational constructs as emergent phenomena. According to Murayama and Jach, reward-learning is a key candidate mechanism. However, there's no such thing as a free lunch: Not only benefits (like reward), but also costs inherent to motivated behaviors (like effort, or uncertainty) are an essential part of the picture.

We welcome Stibbard-Hawkes's empirical contributions and discussion of interpretive challenges for archaeology, but question some of his characterizations and conclusions. Moving beyond critique, it is time to develop new research methods that eschew simplistic modern/premodern binaries. We advocate an inductive, probabilistic approach using multiple lines of evidence to infer the causes and consequences of behavioral variability across time and space.

Stibbard-Hawkes presents a much-needed case for distinguishing between different types of evidence for cognition in past cultures. However, he does not outline an applicable approach for moving forward in making claims about the cognition of past cultures. We present an initial model for calibrating both absolute and comparative claims about past cultures' cognition and other traits.

Using modern hunter-gatherers to infer about early Homo sapiens only works if at least (a) modern hunter-gatherers represent an unbiased sample of humanity, and (b) modern hunter-gatherers act in ways similar to the behavior of early Homo sapiens. Both of these are false, leading to the problem of whether we can draw conclusions about early Homo sapiens from modern hunter-gatherers.

Our species' behavioral and cognitive evolution constitute a key research topic across many scientific disciplines. Based on ethnographic hunter-gatherer data, Stibbard-Hawkes challenges the common link made between past material culture and cognitive capacities. Despite this adequate criticism, archaeology must retain a central role for studying these issues due to its unique access to relevant empirical evidence in deep time.