In The Death Algorithm and Other Digital Dilemmas, Roberto Simanowski wonders if we are on the brink of a society that views social, political, and ethical challenges as technological problems that can be fixed with the right algorithm, the best data, or the fastest computer. For example, the ´´death algorithm ¿ is programmed into a driverless car to decide, in an emergency, whether to plow into a group of pedestrians, a mother and child, or a brick wall. Can such life-and-death decisions no longer be left to the individual human? In these incisive essays, Simanowski asks us to consider what it means to be living in a time when the president of the United States declares the mainstream media to be an enemy of the people¿while Facebook transforms the people into the enemy of mainstream media. Simanowski describes smartphone zombies (or ´´smombies¿) who remove themselves from the physical world to the parallel universe of social media networks; calls on Adorno to help parse Trump´s tweeting; considers transmedia cannibalism, as written text is transformed into a postliterate object; compares the economic and social effects of the sharing economy to a sixteen-wheeler running over a plastic bottle on the road; and explains why philosophy mat become the most important element in the automotive and technology industries.
Turing´s connectionism provides a detailed and in-depth analysis of Turing´s almost forgotten ideas on connectionist machines. In a little known paper entitled ´´Intelligent Machinery´´, Turing already investigated connectionist models as early as 1948. Unfortunately, his work was dismissed by his employer as a ´´schoolboy essay´´ and went unpublished until 1968, 14 years after his death. In this book, Christof Teuscher analyzes all aspects of Turing´s ´´unorganized machines´´. Turing himself also proposed a sort of genetic algorithm to train the networks. This idea has been resumed by the author and genetic algorithms are used to build and train Turing´s unorganized machines. Teuscher´s work starts from Turing´s initial ideas, but importantly goes beyond them. Many new kinds of machines and new aspects are considered, e.g., hardware implementation, analysis of the complex dynamics of the networks, hypercomputation, and learning algorithms.
Software is everywhere today, but countless software products and projects die a slow death without ever making any impact. The result is a tremendous amount of time and money wasted due to wrong assumptions, lack of focus, poor communication of objectives, lack of understanding and misalignment with overall goals. There has to be a better way to deliver! This handbook is a practical guide to impact mapping, a simple yet incredibly effective method for collaborative strategic planning that helps organisations make an impact with software. Impact mapping helps to create better plans and roadmaps that ensure alignment of business and delivery, and are easily adaptable to change. Impact mapping fits nicely into several current trends in software product management and release planning, including goal-oriented requirements engineering, frequent iterative delivery, agile and lean software methods, lean startup product development cycles, and design thinking. About the Author Gojko Adzic is a strategic software delivery consultant who works with ambitious teams to improve the quality of their software products and processes. Gojko won the 2012 Jolt Award for the best book, was voted by peers as the most influential agile testing professional in 2011, and his blog won the UK Agile Award for the best online publication in 2010.