Algorithm Aversion
Algorithm aversion is "biased assessment of an algorithm which manifests in negative behaviours and attitudes towards the algorithm compared to a human agent." It describes a phenomenon where humans reject advice from an algorithm in a case where they would accept the same advice if they thought it was coming from another human. Algorithms, such as those employing machine learning methods or various forms of artificial intelligence, are commonly used to provide recommendations or advice to human decisionmakers. For example, recommender systems are used in E-commerce to identify products a customer might like, and artificial intelligence is used in healthcare to assist with diagnosis and treatment decisions. However, humans sometimes appear to resist or reject these algorithmic recommendations more than if the recommendation had come from a human. Notably, algorithms are often capable of outperforming humans, so rejecting algorithmic advice can result in poor performance or subop ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can perform automated deductions (referred to as automated reasoning) and use mathematical and logical tests to divert the code execution through various routes (referred to as automated decision-making). Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". In contrast, a heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. As an effective method, an algorithm can be expressed within a finite amount of spac ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Chess
Chess is a board game for two players, called White and Black, each controlling an army of chess pieces in their color, with the objective to checkmate the opponent's king. It is sometimes called international chess or Western chess to distinguish it from related games, such as xiangqi (Chinese chess) and shogi (Japanese chess). The recorded history of chess goes back at least to the emergence of a similar game, chaturanga, in seventh-century India. The rules of chess as we know them today emerged in Europe at the end of the 15th century, with standardization and universal acceptance by the end of the 19th century. Today, chess is one of the world's most popular games, played by millions of people worldwide. Chess is an abstract strategy game that involves no hidden information and no use of dice or cards. It is played on a chessboard with 64 squares arranged in an eight-by-eight grid. At the start, each player controls sixteen pieces: one king, one queen, two rooks, ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Expectancy Theory
Expectancy theory (or expectancy theory of motivation) proposes that an individual will behave or act in a certain way because they are motivated to select a specific behavior over others due to what they expect the result of that selected behavior will be. In essence, the motivation of the behavior selection is determined by the desirability of the outcome. However, at the core of the theory is the cognitive process of how an individual processes the different motivational elements. This is done before making the ultimate choice. The outcome is not the sole determining factor in making the decision of how to behave. Expectancy theory is about the mental processes regarding choice, or choosing. It explains the processes that an individual undergoes to make choices. In the study of organizational behavior, expectancy theory is a motivation theory first proposed by Victor Vroom of the Yale School of Management. Victor H. Vroom (1964) defines motivation as a process governing choi ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Bias
Bias is a disproportionate weight ''in favor of'' or ''against'' an idea or thing, usually in a way that is closed-minded, prejudicial, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group, or a belief. In science and engineering, a bias is a systematic error. Statistical bias results from an unfair sampling of a population, or from an estimation process that does not give accurate results on average. Etymology The word appears to derive from Old Provençal into Old French ''biais'', "sideways, askance, against the grain". Whence comes French ''biais'', "a slant, a slope, an oblique". It seems to have entered English via the game of bowls, where it referred to balls made with a greater weight on one side. Which expanded to the figurative use, "a one-sided tendency of the mind", and, at first especially in law, "undue propensity or prejudice". Types of bias Cognitive biases A cognitive bias is a repeating or basic m ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Infection
An infection is the invasion of tissues by pathogens, their multiplication, and the reaction of host tissues to the infectious agent and the toxins they produce. An infectious disease, also known as a transmissible disease or communicable disease, is an illness resulting from an infection. Infections can be caused by a wide range of pathogens, most prominently bacteria and viruses. Hosts can fight infections using their immune system. Mammalian hosts react to infections with an innate response, often involving inflammation, followed by an adaptive response. Specific medications used to treat infections include antibiotics, antivirals, antifungals, antiprotozoals, and antihelminthics. Infectious diseases resulted in 9.2 million deaths in 2013 (about 17% of all deaths). The branch of medicine that focuses on infections is referred to as infectious disease. Types Infections are caused by infectious agents ( pathogens) including: * Bacteria (e.g. ''Mycobacterium tube ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Digital Natives
The term digital native describes a person who has grown up in the information age. Often grouped into Millennials, Generation Z, and Generation Alpha, these individuals can consume digital information and stimuli quickly and comfortably through electronic devices and platforms such as computers, mobile phones, and social media. Digital natives are distinguished from digital immigrants, people who grew up in a world dominated by print and television because they were born before the advent of the Internet. These two terms are often used to describe the digital generation gap in terms of the ability of technological use among people born after 1980 and those born before. The term digital native is a highly contested concept, being considered by many education researchers as a persistent myth not founded on empirical evidence and many argue for a more nuanced approach for understanding the relationship between digital media, learning and youth. Origin Native–immigrant analo ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Bishop's Opening
The Bishop's Opening is a chess opening that begins with the moves: :1. e4 e5 :2. Bc4 White attacks Black's f7-square and prevents Black from advancing the d-pawn to d5. By ignoring the beginner's maxim "develop knights before bishops", White leaves its f-pawn unblocked, preserving the possibility of f2–f4. The f2–f4 gives the Bishop's Opening an affinity with the King's Gambit and the Vienna Game, two openings that share this characteristic. The Bishop's Opening can transpose into either of these openings, and in particular a favorable variation of the King's Gambit, but with care Black can circumvent this. Transpositions into the Giuoco Piano and the Two Knights Defense and other openings are also possible. The '' Encyclopaedia of Chess Openings'' assigns the Bishop's Opening the codes C23 and C24. History and use The Bishop's Opening is one of the oldest openings to be analyzed; it was studied by Lucena and Ruy Lopez. Later it was played by Philidor. Larsen w ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Queen's Gambit
The Queen's Gambit is the chess opening that starts with the moves: :1. d4 d5 :2. c4 It is one of the oldest openings and is still commonly played today. It is traditionally described as a '' gambit'' because White appears to sacrifice the c-pawn; however, this could be considered a misnomer as Black cannot retain the pawn without incurring a disadvantage. History The Queen's Gambit is one of the oldest known openings in chess. It was mentioned in the Göttingen manuscript of 1490 and was later analyzed by Gioachino Greco in the 17th century. In the 18th century, it was recommended by Philipp Stamma and is sometimes known as the Aleppo Gambit in his honor. During the early period of modern chess, queen pawn openings were not in fashion, and the Queen's Gambit did not become commonplace until the 1873 tournament in Vienna. As Wilhelm Steinitz and Siegbert Tarrasch developed chess theory and increased the appreciation of , the Queen's Gambit grew more popular, reachin ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Grandmaster (chess)
Grandmaster (GM) is a title awarded to chess players by the world chess organization FIDE. Apart from World Champion, Grandmaster is the highest title a chess player can attain. Once achieved, the title is held for life, though exceptionally it has been revoked for cheating. The title of Grandmaster, along with the lesser FIDE titles of International Master (IM) and FIDE Master (FM), is open to all players regardless of gender. The great majority of grandmasters are men, but 40 women have been awarded the GM title as of 2022, out of a total of about 2000 grandmasters. Since about the year 2000, most of the top 10 women have held the GM title. There is also a Woman Grandmaster title with lower requirements awarded only to women. There are also Grandmaster titles for composers and solvers of chess problems, awarded by the World Federation for Chess Composition (see List of grandmasters for chess composition). The International Correspondence Chess Federation (ICCF) awards the ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Decision-making
In psychology, decision-making (also spelled decision making and decisionmaking) is regarded as the cognitive process resulting in the selection of a belief or a course of action among several possible alternative options. It could be either rational or irrational. The decision-making process is a reasoning process based on assumptions of values, preferences and beliefs of the decision-maker. Every decision-making process produces a final choice, which may or may not prompt action. Research about decision-making is also published under the label problem solving, particularly in European psychological research. Overview Decision-making can be regarded as a problem-solving activity yielding a solution deemed to be optimal, or at least satisfactory. It is therefore a process which can be more or less rational or irrational and can be based on explicit or tacit knowledge and beliefs. Tacit knowledge is often used to fill the gaps in complex decision-making processes. Usuall ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making pred ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Empathy
Empathy is the capacity to understand or feel what another person is experiencing from within their frame of reference, that is, the capacity to place oneself in another's position. Definitions of empathy encompass a broad range of social, cognitive, and emotional processes primarily concerned with understanding others (and others' emotions in particular). Types of empathy include cognitive empathy, emotional (or affective) empathy, somatic empathy, and spiritual empathy.Rothschild, B. (with Rand, M. L.). (2006). ''Help for the Helper: The psychophysiology of compassion fatigue and vicarious trauma''. Etymology The English word ''empathy'' is derived from the Ancient Greek (''empatheia'', meaning "physical affection or passion"). That word derives from (''en'', "in, at") and (''pathos'', "passion" or "suffering"). Theodor Lipps adapted the German aesthetic term ("feeling into") to psychology in 1903, and Edward B. Titchener translated into English as "empathy" in 190 ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |