Bøger af Alex Pentland

This is the Spanish translation of "Honest signals", by Alex Pentland. Los grupos de animales toman decisiones conjuntas, comunicándose entre ellos mucha información por medio de actitudes, sonidos, gestos... cuando los humanos evolucionamos hasta emplear el lenguaje para compartir información, este otro sistema de comunicación social no desapareció. Las investigaciones del profesor Pentland demuestran no solo su existencia, sino también que este tipo de información tiene tanto valor para nosotros que incluso prevalece sobre la información lingüística, aunque no seamos conscientes de ella. Este libro cuenta cómo el MIT ha desarrollado herramientas y métodos para medir estas señales y convertirlas en información manejable. Con ella pueden establecerse patrones de comportamiento y predecirse conductas individuales y de grupos. Señales honestas es el resultado de una disciplina nueva y emergente, llamada ciencia de las redes, que intenta entender a las personas en el contexto de sus redes sociales en lugar de considerarlas como individuos aislados. Tal vez la consciencia no sea tan importante como tendemos a creer. Quizá necesitemos reexaminar nuestras suposiciones sobre el rol que juegan tanto las fuerzas conscientes como las inconscientes en la configuración de nuestras conductas cotidianas. La información de nuestros sociómetros apoya la idea de que gran parte de la conducta humana es automática o está determinada por procesos inconscientes.

Financial technology innovation has exploded in the popular consciousness, and promises a radical transformation of the global financial services industry. Over $20 billion is expected to be invested in fintech projects in 2016. How can executives, investors, and entrepreneurs make sense of the new inventions that are driving this change? MIT Professor Alex "Sandy" Pentland, called by Forbes one of the seven most powerful data scientists on the planet, is joined by fintech intrapreneur and educator David Shrier in curating an exploration of several major trends and technologies that are changing the face of financial services. Coauthors include Deven Sharma, the former President of S&P, and Alex Lipton, the former head of quantitative analytics for Bank of America Merrill Lynch. From blockchain to artificial intelligence, this series of articles helps the reader grapple with this exciting area of technology innovation.

How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems.  Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and artificial intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, machine learning fairness principles and methodologies, and secure digital transaction systems.   It’s well known that social media generate disinformation and that mobile phone tracking apps threaten privacy. But these same technologies may also enable the creation of more agile systems in which power and decision-making are distributed among stakeholders rather than concentrated in a few hands. Offering both big ideas and detailed blueprints, the authors describe such key building blocks as data cooperatives, tokenized funding mechanisms, and tradecoin architecture. They also discuss technical issues, including how to build an ecosystem of trusted data, the implementation of digital currencies, and interoperability, and consider the evolution of computational law systems. 

From one of the world's leading data scientists, a landmark tour of the new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence If the Big Data revolution has a presiding genius, it is MIT's Alex ';Sandy' Pentland. Over years of groundbreaking experiments, he has distilled remarkable discoveries significant enough to become the bedrock of a whole new scientific field: social physics. Humans have more in common with bees than we like to admit: We're social creatures first and foremost. Our most important habits of actionand most basic notions of common senseare wired into us through our coordination in social groups. Social physics is about idea flow, the way human social networks spread ideas and transform those ideas into behaviors. Thanks to the millions of digital bread crumbs people leave behind via smartphones, GPS devices, and the Internet, the amount of new information we have about human activity is truly profound. Until now, sociologists have depended on limited data sets and surveys that tell us how people say they think and behave, rather than what they actually do. As a result, we've been stuck with the same stale social structuresclasses, marketsand a focus on individual actors, data snapshots, and steady states. Pentland shows that, in fact, humans respond much more powerfully to social incentives that involve rewarding others and strengthening the ties that bind than incentives that involve only their own economic self-interest. Pentland and his teams have found that they can study patterns of information exchange in a social network without any knowledge of the actual content of the information and predict with stunning accuracy how productive and effective that network is, whether it's a business or an entire city. We can maximize a group's collective intelligence to improve performance and use social incentives to create new organizations and guide them through disruptive change in a way that maximizes the good. At every level of interaction, from small groups to large cities, social networks can be tuned to increase exploration and engagement, thus vastly improving idea flow.Social Physics will change the way we think about how we learn and how our social groups workand can be made to work better, at every level of society. Pentland leads readers to the edge of the most important revolution in the study of social behavior in a generation, an entirely new way to look at life itself.

This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones.