The Knowledge Frontier

Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game playing. automatic programming. medical reasoning. diagnosis in various domains. and speech recogOltlOn. to name a few. are all currently experimenting with knowledge-based approaches. The problem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how to modify the knowledge in the face of a changing world. how to reason with the knowledge. and how tc use the knowledge appropriately in the creation of the application solution. This volume contains an elaboration of many of these basic issues from a variety of perspectives.

Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game playing. automatic programming. medical reasoning. diagnosis in various domains. and speech recogOltlOn. to name a few. are all currently experimenting with knowledge-based approaches. The problem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how to modify the knowledge in the face of a changing world. how to reason with the knowledge. and how tc use the knowledge appropriately in the creation of the application solution. This volume contains an elaboration of many of these basic issues from a variety of perspectives.

'Grayling brings satisfying order to daunting subjects' Steven Pinker _________________________ In very recent times humanity has learnt a vast amount about the universe, the past, and itself. But through our remarkable successes in acquiring knowledge we have learned how much we have yet to learn: the science we have, for example, addresses just 5 per cent of the universe; pre-history is still being revealed, with thousands of historical sites yet to be explored; and the new neurosciences of mind and brain are just beginning. What do we know, and how do we know it? What do we now know that we don't know? And what have we learnt about the obstacles to knowing more? In a time of deepening battles over what knowledge and truth mean, these questions matter more than ever. Bestselling polymath and philosopher A. C. Grayling seeks to answer them in three crucial areas at the frontiers of knowledge: science, history and psychology. A remarkable history of science, life on earth, and the human mind itself, this is a compelling and fascinating tour de force, written with verve, clarity and remarkable breadth of knowledge. _________________________ 'Remarkable, readable and authoritative. How he has mastered so much, so thoroughly, is nothing short of amazing' Lawrence M. Krauss, author of A Universe from Nothing 'This book hums with the excitement of the great human project of discovery' Adam Zeman, author of Aphantasia

China and Russia are rising economic and political powers that share thousands of miles of border. Despite their proximity, their interactions with each other - and with their third neighbour Mongolia - are rarely discussed. Although the three countries share a boundary, their traditions, languages and worldviews are remarkably different. Frontier Encounters presents a wide range of views on how the borders between these unique countries are enacted, produced, and crossed. It sheds light on global uncertainties: China's search for energy resources and the employment of its huge population, Russia's fear of Chinese migration, and the precarious independence of Mongolia as its neighbours negotiate to extract its plentiful resources. Bringing together anthropologists, sociologists and economists, this timely collection of essays offers new perspectives on an area that is currently of enormous economic, strategic and geo-political relevance.

The advancement of the knowledge frontier is crucial for technological innovation and human progress. Using novel data from the setting of mathematics, this paper establishes two results. First, we document that individuals who demonstrate exceptional talent in their teenage years have an irreplaceable ability to create new ideas over their lifetime, suggesting that talent is a central ingredient in the production of knowledge. Second, such talented individuals born in low- or middle-income countries are systematically less likely to become knowledge producers. Our findings suggest that policies to encourage exceptionally-talented youth to pursue scientific careers—especially those from lower income countries—could accelerate the advancement of the knowledge frontier.

Why has the flow of big, world-changing ideas slowed down? A provocative look at what happens next at the frontiers of human knowledge. The history of humanity is the history of big ideas that expand our frontiers—from the wheel to space flight, cave painting to the massively multiplayer game, monotheistic religion to quantum theory. And yet for the past few decades, apart from a rush of new gadgets and the explosion of digital technology, world-changing ideas have been harder to come by. Since the 1970s, big ideas have happened incrementally—recycled, focused in narrow bands of innovation. In this provocative book, Michael Bhaskar looks at why the flow of big, world-changing ideas has slowed, and what this means for the future. Bhaskar argues that the challenge at the frontiers of knowledge has arisen not because we are unimaginative and bad at realizing big ideas but because we have already pushed so far. If we compare the world of our great-great-great-grandparents to ours today, we can see how a series of transformative ideas revolutionized almost everything in just a century and a half. But recently, because of short-termism, risk aversion, and fractious decision making, we have built a cautious, unimaginative world. Bhaskar shows how we can start to expand the frontier again by thinking big—embarking on the next Universal Declaration of Human Rights or Apollo mission—and embracing change.