Lake et al. point out that grounding learning in general principles of embodied perception and social cognition is the next step in advancing artificial intelligent machines. We suggest it is necessary to go further and consider lifelong learning, which includes developmental learning, focused on embodiment as applied in developmental robotics and neurorobotics, and crossmodal learning that facilitates integrating multiple senses.

Experimental research is reviewed which suggests that rational framing effects influence young children's social activities according to a logic of interdependence. However, young children are unlikely to possess some of the elaborate cognitive skills argued in the Target Article to be prerequisite for rational framing effects. Understanding rational framing effects requires understanding their ontogenetic origins.

We suggest that the accounts offered by the target articles could be strengthened by acknowledging the role of group selection and cultural niche construction in shaping the evolutionary trajectory of human music. We argue that group level traits and highly variable cultural niches can explain the diversity of human song, but the target articles' accounts are insufficient to explain such diversity.

The authors argue that children prefer fictions with imaginary worlds. But evidence from the developmental literature challenges this claim. Children's choices of stories and story events show that they often prefer realism. Further, work on the imagination's relation to counterfactual reasoning suggests that an attraction to unrealistic fiction would undermine the imagination's role in helping children understand reality.

We consider the evolutionary plausibility of Osiurak and Reynaud's (O&R) arguments. We argue that technical reasoning is not quite the magic bullet that O&R assume, and instead propose a co-evolutionary account of the interplay between technical reasoning and social learning, with language emerging as a vital issue neglected in O&R's account.

Interpreting heritability estimates through the lens of cultural evolution presents two broad and interlinking problems for educational behavior genetics. First, the problem of interpreting high heritability of educational phenotypes as indicators of the genetic basis of traits, when these findings also reflect cultural homogeneity. Second, the problem of extrapolating from genetic research findings in education to policy and practice recommendations.

Yarkoni's paper makes an important contribution to psychological research by its insightful analysis of generalizability. We suggest, however, that broadening research practices to include field research and the correlated use of both converging and complementary observations gives reason for optimism.

We compare bifocal stance theory's (BST) approach to social learning to construal level theory's (CLT) – a social-cognitive theory positing that psychological closeness to a model influences action-representation and thus modulates how concretely or abstractly observers emulate models. Whereas BST argues that social motives produce higher fidelity emulation, CLT argues that psychological closeness impacts cognitive construal and produces more concrete emulation across diverse motivations for emulation.

Boyer & Petersen (B&P) lay out an evolutionarily grounded framework to produce concrete, testable predictions about economic phenomena. We commend this step forward, but suggest the framework requires more consideration of cultural contexts that provide necessary input for cognitive systems to operate on. We discuss the role of culture when examining both evolved cognitive systems and social exchange contexts.

Like Branigan & Pickering (B&P), we agree that processing evidence is important for linguistic theorization; however, without much evidence of priming of hierarchical argument structure independent of linear ordering, the nature of “structure” in structural priming remains unclear. Consequently, it is an empirical question whether structural priming and acceptability judgments tap into cognitive processes of a similar nature.

“Negative” emotions are never purely negative. They attract attention at the very least and often stay attractive enough to make rehearsing them an addictive activity. As the authors point out, they also counteract a relentless tendency for positive emotions to become boring. Analysis in terms of reward suggests why this tendency occurs and how symbiosis with negative emotions may arise, in art and in life.

Pietraszewski proposes four triadic “primitives” for representing social groups. We argue that, despite surface differences, these triads can all be reduced to similar underlying welfare trade-off ratios, which are a better candidate for social group primitives. Welfare trade-off ratios also have limitations, however, and we suggest there are multiple computational strategies by which people recognize and reason about social groups.

We support Uchiyama et al. in the value of genetics, sample diversification, and context measurement. Against the example of vitamins, we highlight the intransigence of many phenotypes. We caution that while culture can mask genetic differences, the dependence of behaviour on genetics is reinvented and unmasked by novel challenges across generations.

Lake et al. underrate both the promise and the limitations of contemporary deep learning techniques. The promise lies in combining those techniques with broad multisensory training as experienced by infants and children. The limitations lie in the need for such systems to possess functional subsystems that generate, monitor, and switch goals and strategies in the absence of human intervention.

Zwaan et al. and others discuss the importance of the inevitable differences between a replication experiment and the corresponding original experiment. But these discussions are not informed by a principled, quantitative framework for taking differences into account. Bayesian confirmation theory provides such a framework. It will not entirely solve the problem, but it will lead to new insights.

Norenzayan et al. suggest that Big Gods can be replaced by Big Governments. We examine forms of social and self-monitoring and ritual practice that emerged in Classical China, heterarchical societies like those that emerged in pre-Columbian Mesoamerica, and the contemporary Zapatista movement of Chiapas, and we recommend widening the hypothesis space to include these alternative forms of social organization.

What can we hope to learn about brains from the free energy principle? In adopting the “primordial soup” physical model, Bruineberg et al. perpetuate the unsupported notion that the free-energy principle has a meaningful physical – and neuronal – interpretation. We examine how minimization of free energy arises in physical contexts, and what this can and cannot tell us about brains.

If memory constraints were the only limitation on language processing, the best possible language would be one with only one word. But to explain the rich structure of language, we need to posit a second constraint: the pressure to communicate informatively. Many aspects of linguistic structure can be accounted for by appealing to equilibria that result from these two pressures.

Traditional statistical model evaluation typically relies on goodness-of-fit testing and quantifying model complexity by counting parameters. Both of these practices may result in overfitting and have thereby contributed to the generalizability crisis. The information-theoretic principle of minimum description length addresses both of these concerns by filtering noise from the observed data and consequently increasing generalizability to unseen data.

Ecological validity is key in science and laboratory experiments alone cannot fully explain complex real-world phenomena. Yet the three flaws Cesario proposes do not characterize the field and are not “methodological trickery,” (sect. 5, para. 5) designed to intentionally mislead practitioners. In school discipline alone, these alleged flaws are indeed addressed and laboratory experimentation has contributed to mitigation of a real-world problem.