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Readers will delight in the gradual reveal of both the technology within the story and the dramatic history between many of those involved with the creation and evolution of that technology. Tom, a screenwriter, works with Harry, the genius inventor of the world's most popular AI (artificial intelligence) app, to create a simulation that will nudge people toward acting morally. This virtual world consists of multiple layers, each focusing on a different psychological alignment depending on the needs of the person using the program. A lower level, much like Hell, exposes people to horrors and cruelty, while some upper levels focus on order and happiness. The project becomes more complex when they upload the entire consciousness of people, creating virtual immortality.

If you're looking to up your track game and go faster, a lap timer can be a big help. Most car lovers also love going fast, and while the casual exhilaration of speed on a perfectly twisting road or the accomplishment of tackling a tough trail are enough for many of us, the more driven feel the need to go faster. You can make a car faster with more power or better suspension, but the best (and cheapest) performance upgrade that you can make is to the component between the seat and the steering wheel: you, the driver. One of the best tools to help you become a faster driver is a precise lap timer. While that can be as simple as setting a stopwatch at the start of each session, most dedicated racing lap timers use GPS technology to automatically mark each lap's beginning and end, separating the time for each and allowing the user to see how changes to your racing line and braking points affect your overall speed and RPM. The best examples also log and save your sessions digitally -- often along with vehicle performance test data or video -- for review later.

A scientific reasoning system makes decisions using objective evidence in the form of independent experimental trials, propositional axioms, and constraints on the probabilities of events. As a first step towards this goal, we propose a system that derives probability intervals from objective evidence in those forms. Our reasoning system can manage uncertainty about data and rules in a rule based expert system. We expect that our system will be particularly applicable to diagnosis and analysis in domains with a wealth of experimental evidence such as medicine. We discuss limitations of this solution and propose future directions for this research. This work can be considered a generalization of Nilsson's "probabilistic logic" [Nil86] to intervals and experimental observations.

In our understanding, a mind-map is an adaptive engine that basically works incrementally on the fundament of existing transactional streams. Generally, mind-maps consist of symbolic cells that are connected with each other and that become either stronger or weaker depending on the transactional stream. Based on the underlying biologic principle, these symbolic cells and their connections as well may adaptively survive or die, forming different cell agglomerates of arbitrary size. In this work, we intend to prove mind-maps' eligibility following diverse application scenarios, for example being an underlying management system to represent normal and abnormal traffic behaviour in computer networks, supporting the detection of the user behaviour within search engines, or being a hidden communication layer for natural language interaction.