Topic: Computer science (Page 9)

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πŸ”— Swarm intelligence

πŸ”— Computer science πŸ”— Science Fiction πŸ”— Systems

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.

SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Examples of swarm intelligence in natural systems include ant colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence.

The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems. Similar approaches to those proposed for swarm robotics are considered for genetically modified organisms in synthetic collective intelligence.

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πŸ”— Bead sort: faster than O(N log N) sort

πŸ”— Computer science

Bead sort, also called gravity sort, is a natural sorting algorithm, developed by Joshua J. Arulanandham, Cristian S. Calude and Michael J. Dinneen in 2002, and published in The Bulletin of the European Association for Theoretical Computer Science. Both digital and analog hardware implementations of bead sort can achieve a sorting time of O(n); however, the implementation of this algorithm tends to be significantly slower in software and can only be used to sort lists of positive integers. Also, it would seem that even in the best case, the algorithm requires O(n2) space.

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πŸ”— Circle-Ellipse Problem

πŸ”— Computer science

The circle–ellipse problem in software development (sometimes called the square–rectangle problem) illustrates several pitfalls which can arise when using subtype polymorphism in object modelling. The issues are most commonly encountered when using object-oriented programming (OOP). By definition, this problem is a violation of the Liskov substitution principle, one of the SOLID principles.

The problem concerns which subtyping or inheritance relationship should exist between classes which represent circles and ellipses (or, similarly, squares and rectangles). More generally, the problem illustrates the difficulties which can occur when a base class contains methods which mutate an object in a manner which may invalidate a (stronger) invariant found in a derived class, causing the Liskov substitution principle to be violated.

The existence of the circle–ellipse problem is sometimes used to criticize object-oriented programming. It may also imply that hierarchical taxonomies are difficult to make universal, implying that situational classification systems may be more practical.

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πŸ”— Lucid programming language

πŸ”— Computer science πŸ”— Computer science/Computing

Lucid is a dataflow programming language designed to experiment with non-von Neumann programming models. It was designed by Bill Wadge and Ed Ashcroft and described in the 1985 book Lucid, the Dataflow Programming Language.

pLucid was the first interpreter for Lucid.

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πŸ”— SCOOP: Simple Concurrent Object Oriented Programming

πŸ”— Computing πŸ”— Computer science

SCOOP (Simple Concurrent Object Oriented Programming) is a concurrency model designed for the Eiffel programming language, conceived by Eiffel's creator and designer, Bertrand Meyer.

SCOOP defines a way for an object oriented program to be written without the concept of threads, locks, or other typical multiprogramming methods. This allows the compiler or runtime environment to optimize the amount of concurrency as well as eliminate typical design flaws such as deadlock.

The model was first designed in the early 1990s and published in 1993 in the Communications of the ACM An updated version was described in chapter 30 of the book Object-Oriented Software Construction. A prototype implementation was developed in 1995 by Eiffel Software. An article by Compton and Walker provides an overview of SCOOP and describes another early implementation. Nienaltowski, Arslan and Meyer have published a description of the model as of 2003. Work on SCOOP proceeded at the Chair of Software Engineering at ETH Zurich. SCOOP became available as a standard part of EiffelStudio early in 2011.

πŸ”— Effective Accelerationism

πŸ”— Computer science πŸ”— Disaster management πŸ”— Philosophy πŸ”— Cognitive science πŸ”— Futures studies πŸ”— Effective Altruism

Effective accelerationism, often abbreviated as "e/acc", is a 21st-century philosophical movement advocating an explicit pro-technology stance. Its proponents believe that artificial intelligence-driven progress is a great social equalizer which should be pushed forward. They see themselves as a counterweight to the cautious view that AI is highly unpredictable and needs to be regulated, often giving their opponents the derogatory labels of "doomers" or "decels" (short for deceleration).

Central to effective accelerationism is the belief that propelling technological progress at any cost is the only ethically justifiable course of action. The movement carries utopian undertones and argues that humans need to develop and build faster to ensure their survival and propagate consciousness throughout the universe.

Although effective accelerationism has been described as a fringe movement, it has gained mainstream visibility. A number of high-profile Silicon Valley figures, including investors Marc Andreessen and Garry Tan, explicitly endorsed the movement by adding "e/acc" to their public social media profiles. Yann LeCun and Andrew Ng are seen as further supporters, as they have argued for less restrictive AI regulation.

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πŸ”— Comb Sort - Just As Good As Quick Sort

πŸ”— Computing πŸ”— Computer science πŸ”— Computing/Software πŸ”— Computing/Computer science

Comb sort is a relatively simple sorting algorithm originally designed by WΕ‚odzimierz Dobosiewicz and Artur Borowy in 1980, later rediscovered by Stephen Lacey and Richard Box in 1991. Comb sort improves on bubble sort.

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πŸ”— OpenSSI is an open-source single-system image clustering system

πŸ”— Computing πŸ”— Computer science πŸ”— Computing/Software πŸ”— Computing/Free and open-source software πŸ”— Linux

OpenSSI is an open-source single-system image clustering system. It allows a collection of computers to be treated as one large system, allowing applications running on any one machine access to the resources of all the machines in the cluster.

OpenSSI is based on the Linux operating system and was released as an open source project by Compaq in 2001. It is the final stage of a long process of development, stretching back to LOCUS, developed in the early 1980s.

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πŸ”— Claude Shannon

πŸ”— United States πŸ”— Biography πŸ”— Computer science πŸ”— Telecommunications πŸ”— Systems πŸ”— Biography/science and academia πŸ”— Cryptography πŸ”— Cryptography/Computer science πŸ”— Electronics πŸ”— Systems/Systems theory πŸ”— Telecommunications/Bell System πŸ”— Cycling

Claude Elwood Shannon (April 30, 1916 – February 24, 2001) was an American mathematician, electrical engineer, and cryptographer known as "the father of information theory". Shannon is noted for having founded information theory with a landmark paper, "A Mathematical Theory of Communication", that he published in 1948.

He is also well known for founding digital circuit design theory in 1937, whenβ€”as a 21-year-old master's degree student at the Massachusetts Institute of Technology (MIT)β€”he wrote his thesis demonstrating that electrical applications of Boolean algebra could construct any logical numerical relationship. Shannon contributed to the field of cryptanalysis for national defense during World War II, including his fundamental work on codebreaking and secure telecommunications.

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