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IBM Engineering Requirements Management DOORS (Dynamic Object Oriented Requirements System) (formerly Telelogic DOORS, then Rational DOORS) is a requirements management tool. [4] It is a client–server application, with a Windows-only client and servers for Linux, Windows, and Solaris.
Trump v. Hawaii, No. 17-965, 585 U.S. 667 (2018), was a landmark United States Supreme Court case involving Presidential Proclamation 9645 signed by President Donald Trump, which restricted travel into the United States by people from several nations, or by refugees without valid travel documents.
Predictably Irrational: The Hidden Forces That Shape Our Decisions is a 2008 book by Dan Ariely, in which he challenges readers' assumptions about making decisions based on rational thought. Ariely explains, "My goal, by the end of this book, is to help you fundamentally rethink what makes you and the people around you tick.
The Rational Peasant is published three years after James C. Scott's The Moral Economy of the Peasant and is articulated as a critique of Scott's arguments. Despite studying the same phenomenon, namely the impact of colonialism and capitalism of traditional agrarian societies of Southeast Asia, they both derive completely opposed theories of peasant behavior.
Under the Equal Protection Clause, discrimination against people with disabilities is analyzed by "rational basis" scrutiny: if the discrimination has a rational basis, it is constitutional. In this case, the Court held that Congress, like the judiciary, was required to use rational basis review of state action, with its presumptions favoring ...
IBM DevOps Code ClearCase (also known as IBM Rational ClearCase) is a family of computer software tools that supports software configuration management (SCM) of source code and other software development assets. It also supports design-data management of electronic design artifacts, thus enabling hardware and software co-development.
In short, bounded rationality revises notions of perfect rationality to account for the fact that perfectly rational decisions are often not feasible in practice because of the intractability of natural decision problems and the finite computational resources available for making them.
The Sleeping Beauty problem, also known as the Sleeping Beauty paradox, [1] is a puzzle in decision theory in which an ideally rational epistemic agent is told she will be awoken from sleep either once or twice according to the toss of a coin.