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Author: Yoav Shoham
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 274
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Book Description
Reasoning About Change presents a comprehensive approach to temporal reasoning in artificial intelligence.
Author: Yoav Shoham
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 274
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Book Description
Reasoning About Change presents a comprehensive approach to temporal reasoning in artificial intelligence.
Author: Hans Rott
Publisher: Clarendon Press
ISBN: 9780198503064
Category : Mathematics
Languages : en
Pages : 404
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Book Description
This work develops logical theories necessary to understand adaptable human reasoning & the design ofintelligent systems. It unifies lively & significant strands of research in logic, philosophy, economics & artificial intelligence.
Author: Marc Gopin
Publisher: Oxford University Press
ISBN: 0197537928
Category : Philosophy
Languages : en
Pages : 305
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Book Description
There are many people across the planet who work every day for the sake of others but who are ensconced in exhausting work with dangerous and difficult situations of conflict. These people are often heroic bridge-builders and creators of peaceful societies, and they have a common set of cultivated moral character traits and psychosocial skills. They tend to be kinder, more reasonable, more self-controlled, and more goal-oriented to peace. They are united by a particular set of moral values and the emotional skills to put those values into practice. The aim of this book is to articulate the best combination of those values and skills that lead to personal and communal sustainability, not burnout and self-destruction. The book pivots on the observable difference in the mind-and proven in neuroscience imaging experiments-between destructive empathic distress, on the one hand, and, on the other, joyful, constructive, compassionate care. .
Author: L. Magnani
Publisher: Springer Science & Business Media
ISBN: 9780306462924
Category : Computers
Languages : en
Pages : 366
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Book Description
The volume is based on the papers that were presented at the Interna tional Conference Model-Based Reasoning in Scientific Discovery (MBR'98), held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 1998. The papers explore how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. The study of diagnostic, visual, spatial, analogical, and temporal rea soning has demonstrated that there are many ways of performing intelligent and creative reasoning that cannot be described with the help only of tradi tional notions of reasoning such as classical logic. Traditional accounts of scientific reasoning have restricted the notion of reasoning primarily to de ductive and inductive arguments. Understanding the contribution of model ing practices to discovery and conceptual change in science requires ex panding scientific reasoning to include complex forms of creative reasoning that are not always successful and can lead to incorrect solutions. The study of these heuristic ways of reasoning is situated at the crossroads of philoso phy, artificial intelligence, cognitive psychology, and logic; that is, at the heart of cognitive science. There are several key ingredients common to the various forms of model based reasoning to be considered in this book. The models are intended as in terpretations of target physical systems, processes, phenomena, or situations. The models are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain.
Author: Stephen M. Dark
Publisher: Routledge
ISBN: 042989581X
Category : Nature
Languages : en
Pages : 430
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Book Description
Global climate change policy has failed us all, but what is the reasoning that underlies this failure? Why are some people more disposed to reflect on confounding issues like climate change, recognise the danger, seek a solution, and act accordingly, more than others? This book is concerned with how we think and act in response to climate change. In particular, faced with deep uncertainty and the multifaceted complexities that characterise the climate change conundrum, how the various actors and institutions involved in the policymaking process make decisions that both aid and impede in the design and implementation of climate change policy. This book focuses on how these actors and institutions frame and use the knowledge available – under conditions of competing ideologies and interests – and synthesise it to form often-disparate mental models, or worldviews, that inspire them to become firm advocates of meaningful climate change action or indeed, sceptics that continue to downplay the threat, and hence the need for urgency. By exploring how we think about climate change and the disparate mental models we hold as a result, this book explores why humankind has thus far failed in its endeavours to solve the climate change problem. This book will be of great interest to students and scholars of climate change, environmental policy and environmental psychology.
Author: Adam Grant
Publisher: Random House
ISBN: 0753553902
Category : Business & Economics
Languages : en
Pages : 240
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Book Description
THE MILLION-COPY BESTSELLER If you can change your mind you can do anything. Why do we refresh our wardrobes every year, renovate our kitchens every decade, but never update our beliefs and our views? Why do we laugh at people using computers that are ten years old, but yet still cling to opinions we formed ten years ago? There's a new skill for the modern world that matters more than raw intelligence - the ability to change your mind. To have the edge we all need to develop the flexibility to unlearn old beliefs and adapt when the evidence and the world changes before us. Told through fascinating stories, informed by cutting-edge research and illustratedwith amazing insights from Adam Grant's conversations with people such as Elon Musk, Hilary Clinton's campaign team, top CEOs and leading scientists, this is the ultimate guide to keeping your thinking fresh, learning when to question your ideas and update your own opinions, and how to inspire those around you to do the same.
Author: Robert Mayes
Publisher: Springer
ISBN: 9462095272
Category : Education
Languages : en
Pages : 448
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Book Description
This book provides professional development leaders and teachers with a framework for integrating authentic real-world performance tasks into science, technology, engineering, and mathematics (STEM) classrooms. We incorporate elements of problem-based learning to engage students around grand challenges in energy and environment, place-based leaning to motivate students by relating the problem to their community, and Understanding by Design to ensure that understanding key concepts in STEM is the outcome. Our framework has as a basic tenet interdisciplinary STEM approaches to studying real-world problems. We invited professional learning communities of science and mathematics teachers to bring multiple lenses to the study of these problems, including the sciences of biology, chemistry, earth systems and physics, technology through data collection tools and computational science modeling approaches, engineering design around how to collect data, and mathematics through quantitative reasoning. Our goal was to have teachers create opportunities for their students to engage in real-world problems impacting their place; problems that could be related to STEM grand challenges demonstrating the importance and utility of STEM. We want to broaden the participation of students in STEM, which both increases the future STEM workforce, providing our next generation of scientists, technologists, engineers, and mathematicians, as well as producing a STEM literate citizenry that can make informed decisions about grand challenges that will be facing their generation. While we provide a specifi c example of an interdisciplinary STEM module, we hope to do more than provide a single fish. Rather we hope to teach you how to fish so you can create modules that will excite your students.
Author: Barbara Koslowski
Publisher: MIT Press
ISBN: 9780262112093
Category : Philosophy
Languages : en
Pages : 326
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Book Description
Koslowski boldly criticizes many of the currently classic studies and musters a compelling set of arguments, backed by an exhaustive set of experiments carried out during the last decade.
Author: Gilbert Harman
Publisher: MIT Press
ISBN: 0262263157
Category : Psychology
Languages : en
Pages : 119
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Book Description
The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.
Author: Julia Galef
Publisher: Penguin
ISBN: 0735217556
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
"...an engaging and enlightening account from which we all can benefit."—The Wall Street Journal A better way to combat knee-jerk biases and make smarter decisions, from Julia Galef, the acclaimed expert on rational decision-making. When it comes to what we believe, humans see what they want to see. In other words, we have what Julia Galef calls a "soldier" mindset. From tribalism and wishful thinking, to rationalizing in our personal lives and everything in between, we are driven to defend the ideas we most want to believe—and shoot down those we don't. But if we want to get things right more often, argues Galef, we should train ourselves to have a "scout" mindset. Unlike the soldier, a scout's goal isn't to defend one side over the other. It's to go out, survey the territory, and come back with as accurate a map as possible. Regardless of what they hope to be the case, above all, the scout wants to know what's actually true. In The Scout Mindset, Galef shows that what makes scouts better at getting things right isn't that they're smarter or more knowledgeable than everyone else. It's a handful of emotional skills, habits, and ways of looking at the world—which anyone can learn. With fascinating examples ranging from how to survive being stranded in the middle of the ocean, to how Jeff Bezos avoids overconfidence, to how superforecasters outperform CIA operatives, to Reddit threads and modern partisan politics, Galef explores why our brains deceive us and what we can do to change the way we think.
