The world is at an inflection point. Advancing technologies are creating new opportunities and challenges. Great demographic changes are occurring rapidly, with significant consequences. Governance everywhere is in disarray. A new world is emerging. These are some of the key insights to emerge from a series of interdisciplinary roundtables and global expert contributions hosted by the Hoover Institution. In these pages, George P. Shultz and James Timbie examine a range of issues shaping our present and future, region by region. (...) Concrete proposals address migration, reversing the decline of K-12 education, updating the social safety net, maintaining economic productivity, protecting our democratic processes, improving national security, and more. Meeting these transformational challenges will require international cooperation, constructive engagement, and strong governance. The United States is well positioned to ride this wave of change--and lead other nations in doing the same. (shrink)

Computer simulations show that an unstructured neural-network model [Shultz, T. R., & Bale, A. C. (2001). Infancy, 2, 501–536] covers the essential features␣of infant learning of simple grammars in an artificial language [Marcus, G. F., Vijayan, S., Bandi Rao, S., & Vishton, P. M. (1999). Science, 283, 77–80], and generalizes to examples both outside and inside of the range of training sentences. Knowledge-representation analyses confirm that these networks discover that duplicate words in the sentences are nearly identical and that (...) they use this near-identity relation to distinguish sentences that are consistent or inconsistent with a familiar grammar. Recent simulations that were claimed to show that this model did not really learn these grammars [Vilcu, M., & Hadley, R. F. (2005). Minds and Machines, 15, 359–382] confounded syntactic types with speech sounds and did not perform standard statistical tests of results. (shrink)

Firearm injury in the United States is a public health crisis in which physicians are uniquely situated to intervene. However, their ability to mitigate harm is limited by a complex array of laws and regulations that shape their role in firearm injury prevention. This piece uses four clinical scenarios to illustrate how these laws and regulations impact physician practice, including patient counseling, injury reporting, and the use of court orders and involuntary holds. Unintended consequences on clinical practice of laws intended (...) to reduce firearm injury are also discussed. Lessons drawn from these cases suggest that physicians require more nuanced education on this topic, and that policymakers should consult front-line healthcare providers when designing firearm policies. (shrink)

Physicians play a critical role in preventing and treating firearm injury, although the scope of that role remains contentious and lacks systematic definition. This piece aims to utilize the fundamental principles of medical ethics to present a framework for physician involvement in firearm violence. Physicians' agency relationship with their patients creates ethical obligations grounded on three principles of medical ethics — patient autonomy, beneficence, and nonmaleficence. Taken together, they suggest that physicians ought to engage in clinical screening and treatment related (...) to firearm violence. The principle of beneficence also applies more generally, but more weakly, to relations between physicians and society, creating nonobligatory moral ideals. Balanced against physicians' primary obligations to patient agency relationships, general beneficence suggests that physicians may engage in public advocacy to address gun violence, although they are not ethically obligated to do so. A fourth foundational principle — justice — requires that clinicians attempt to ensure that the benefits and burdens of healthcare are distributed fairly. (shrink)

The federal government is funding a sea change in health care by investing in interventions targeting social determinants of health, which are significant contributors to illness and health inequity. This funding power has encouraged states, professional and accreditation organizations, health care entities, and providers to focus heavily on social determinants. We examine how this shift in focus affects clinical practice in the fields of oncology and emergency medicine, and highlight potential areas of reform.

In Beyond Disruption: Technology's Challenge to Governance, experts from academia, media, government, and the military wrestle with understanding the nature of these technologies' threats to our societies and their great potential for our economies. In a series of vivid analyses and colorful commentary from a conference as Stanford University's Hoover Institution, the authors expand upon their first-hand interpretations of what's at stake for the global operating system in the midst of turbulent change. In the dynamic game of world order, it's (...) a primer for decision makers on where the puck is headed. (shrink)

Book reviewed in this article: A History and Theory of Informed Consent. By Ruth R Faden and Tom L Beauchamp.

The Page target article is interesting because of apparent coverage of many psychological phenomena with simple, unified neural techniques. However, prototype phenomena cannot be covered because the strongest response would be to the first-learned stimulus in each category rather than to a prototype stimulus or most frequently presented stimuli. Alternative methods using distributed coding can also achieve portability of network knowledge.

Neuroconstructivist modeling can be usefully extended with algorithms that build their own topology and recruit existing knowledge, effectively constructing a hierarchy of network modules. Possible benefits include allowing abilities to emerge naturally, in a way that affords objective study, deeper insights, and more rapid progress, and provides more serious consideration of the implications of constructivism.

How much would you pay to play a lottery with an “infinite expected payoff?” In the case of the century old, St. Petersburg Paradox, the answer is that the vast majority of people would only pay a small amount. The authors seek to understand this paradox by providing an explanation consistent with a broad, process‐level model of human decision‐making under risk.

_Essays that highlight the role of education in bringing about inclusive citizenship and human rights norms._ Nearly sixty years after the Universal Declaration of Human Rights, in spite of progress on some fronts, we are in many cases as far away as ever from achieving an inclusive citizenship and human rights for all. While human rights violations continue to affect millions across the world, there are also ongoing contestations regarding citizenship. In response to these and related issues, the contributors to (...) this book critique both historical and current practices and suggest several pragmatic options, highlighting the role of education in attaining these noble yet unachieved objectives. This book represents a welcome addition to the human rights and global citizenship literature and provides ideas for new platforms that are human rights friendly and expansively attuned toward global citizenship. (shrink)

The nature of scientific societies’ relationships with their members limits their ability to promote research integrity. They must therefore leverage their strengths as professional organizations to integrate ethical considerations into their ongoing support of their academic disciplines. This paper suggests five strategies for doing so.

Perruchet & Vinter do not fully resolve issues about the role of consciousness and the unconscious in cognition and learning, and it is doubtful that consciousness has been computationally implemented. The cascade-correlation (CC) connectionist model develops high-order feature detectors as it learns a problem. We describe an extension, knowledge-based cascade-correlation (KBCC), that uses knowledge to learn in a hierarchical fashion.

We highlight methodological and theoretical limitations of the authors' Dirac formalism and suggest the von Neumann open systems approach as a resolution. The open systems framework is a generalization of classical probability and we hope it will allow cognitive scientists to extend quantum probability from perception, categorization, memory, decision making, and similarity judgments to phenomena in learning and development.

Missing from Quartz & Sejnowski's (Q&S's) unique and valuable effort to relate cognitive development to neural constructivism is an examination of the global emergent properties of adding new neural circuits. Such emergent properties can be studied with computational models. Modeling with generative connectionist networks shows that synaptogenic mechanisms can account for progressive increases in children's representational power.

This qualitative study describes the lived experience of physicians who work in communities that have experienced a public mass shooting. Semi-structured interviews were conducted with seventeen physicians involved in eight separate mass casualty shooting incidents in the United States. Four major themes emerged from constant comparative analysis: The psychological toll on physicians: “I wonder if I'm broken”; the importance of and need for mass casualty shooting preparedness: “[We need to] recognize this as a public health concern and train physicians to (...) manage it”; massive media attention: “The media onslaught was unbelievable”; and commitment to advocacy for a public health approach to firearm violence: “I want to do whatever I can to prevent some of these terrible events.”. (shrink)

The proposed framework is insufficient to categorize and understand current evidence on decision making. There are some ambiguities in the questions asked that require additional distinctions between correctness and accuracy, decision making and learning, accuracy and confidence, and social influence and empowerment. Social learning techniques are not all the same: Behavior copying is quite different from theory passing. Sigmoidal acquisition curves are not unique to social learning and are often mistaken for other accelerating curves.

Clark & Thornton present the well-established principle that recoding inputs can make learning easier. A useful goal would be to make such recoding automatic. We discuss some ways in which incrementality and transfer in connectionist networks could attain this goal.