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Book by Flynn Coleman
A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are is a 2019 non-fiction book by American international human rights attorney Flynn
A_Human_Algorithm
Biased assessment of an algorithm
algorithm compared to a human agent." This phenomenon describes the tendency of humans to reject advice or recommendations from an algorithm in situations where
Algorithm_aversion
In evolutionary computation, a human-based genetic algorithm (HBGA) is a genetic algorithm that allows humans to contribute solution suggestions to the
Human-based_genetic_algorithm
Sequence of operations for a task
an algorithm (/ˈælɡərɪðəm/ ) is any well-defined set of instructions that when followed terminates after a finite number of steps that comprise a solution
Algorithm
Simple checksum formula
The Luhn algorithm or Luhn formula (creator: IBM scientist Hans Peter Luhn), also known as the "modulus 10" or "mod 10" algorithm, is a simple check digit
Luhn_algorithm
Japanese manga series by Masamune Shirow
(writer) and Yuki Yoshimoto (illustrator), titled Ghost in the Shell: The Human Algorithm, was made as the sequel to GiTS 1.5. Primarily set in the mid-21st
Ghost_in_the_Shell_(manga)
Algorithm used for pathfinding and graph traversal
A* (pronounced "A-star") is a graph traversal and pathfinding algorithm that is used in many fields of computer science due to its completeness, optimality
A*_search_algorithm
Ordering of strings in alphabetical order with numeric value consideration
Hack contest. Subsequently, Dave Koelle published the "Alphanum Algorithm" in 1997, a popular reference implementation that influenced many later libraries
Natural_sort_order
Algorithm that arranges lists in order
In computer science, a sorting algorithm is an algorithm that puts elements of a list into an order. The most frequently used orders are numerical order
Sorting_algorithm
Technological phenomenon with social implications
Algorithmic bias describes the systematic and repeatable harmful tendency in a computerized sociotechnical system to create "unfair" outcomes, such as
Algorithmic_bias
Machine learning technique
create a general algorithm for learning from a practical amount of human feedback. The algorithm as used today was introduced by OpenAI in a paper on
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Procedure for finding a stable matching
Gale–Shapley algorithm (also known as the deferred acceptance algorithm, propose-and-reject algorithm, or Boston Pool algorithm) is an algorithm for finding a solution
Gale–Shapley_algorithm
Alternative form of government or social ordering
argued that the combination of a human society and certain regulation algorithms (such as reputation-based scoring) forms a social machine. In 1962, the
Government_by_algorithm
2016 non-fiction book by Tom Griffiths and Brian Christian
Algorithms to Live By: The Computer Science of Human Decisions is a 2016 non-fiction book by Brian Christian and Tom Griffiths. The book explores the
Algorithms_to_Live_By
This is a list of artificial intelligence algorithms, including algorithms and algorithmic methods used in artificial intelligence (AI) for search, automated
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
upper bounds were based on the 'human' algorithms. By combining the worst-case scenarios for each part of these algorithms, the typical upper bound was found
Optimal solutions for the Rubik's Cube
Optimal_solutions_for_the_Rubik's_Cube
2015 book by Yuval Noah Harari
possibility that humans are algorithms, and as such Homo sapiens may not be dominant in a universe where big data becomes a paradigm. As humans absorb more
Homo Deus: A Brief History of Tomorrow
Homo_Deus:_A_Brief_History_of_Tomorrow
Computer science technique
computation, a human employs a computer to solve a problem; a human provides a formalized problem description and an algorithm to a computer, and receives a solution
Human-based_computation
Divide and conquer sorting algorithm
merge-sort) is an efficient, general-purpose, comparison-based sorting algorithm. Most implementations of merge sort are stable, which means that the relative
Merge_sort
Means of improving the efficiency of TCP/IP networks
Nagle's algorithm is a means of improving the efficiency of TCP/IP networks by reducing the number of packets that need to be sent over the network. It
Nagle's_algorithm
Subset of evolutionary computation
Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least
Evolutionary_algorithm
Method of executing orders
relative to human traders. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders. A study in
Algorithmic_trading
Algorithm for solving a puzzle or game in the fewest possible moves
God's algorithm of the Rubik cube is a notion originating in discussions of ways to solve the Rubik's Cube puzzle, but which can also be applied to other
God's_algorithm
Subset of artificial intelligence
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from
Machine_learning
AI model that developer a super-human sorting algorithm
discovered an algorithm 29 assembly instructions shorter than the human benchmark. AlphaDev also improved on the speed of hashing algorithms by up to 30%
AlphaDev
2018 book by Safiya Umoja Noble
Algorithms of Oppression: How Search Engines Reinforce Racism is a 2018 book by Safiya Umoja Noble in the fields of information science, machine learning
Algorithms_of_Oppression
Competitive algorithm for searching a problem space
A genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)
Genetic_algorithm
Algorithm for the travelling salesman problem
neighbour algorithm was one of the first algorithms used to solve the travelling salesman problem approximately. In that problem, the salesman starts at a random
Nearest_neighbour_algorithm
Method of using a pool of algorithms
learning algorithms, classifiers, or even real human experts. The algorithm assumes that we have no prior knowledge about the accuracy of the algorithms in
Weighted majority algorithm (machine learning)
Weighted_majority_algorithm_(machine_learning)
genetic algorithm, interactive genetic programming, and human-based genetic algorithm. An interactive genetic algorithm (IGA) is defined as a genetic
Interactive evolutionary computation
Interactive_evolutionary_computation
Method for outsourcing computing tasks to humans
process to humans in an entertaining way (gamification). Luis von Ahn first proposed the idea of "human algorithm games", or games with a purpose (GWAPs)
Human-based_computation_game
2018 nonfiction book by Hannah Fry
Be Human in the Age of the Machine (also titled Hello World: Being Human in the Age of Algorithms) is a book on the growing influence of algorithms and
Hello World: How to be Human in the Age of the Machine
Hello_World:_How_to_be_Human_in_the_Age_of_the_Machine
Finds likely sequence of hidden states
The Viterbi algorithm is a dynamic programming algorithm that finds the most likely sequence of hidden events that would explain a sequence of observed
Viterbi_algorithm
Algorithm for supervised learning of binary classifiers
algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether or not an input, represented by a vector
Perceptron
actually happens on a large scale in Wikipedia. Human-based genetic algorithm (HBGA) provides means for human-based recombination operation (a distinctive feature
Human-based evolutionary computation
Human-based_evolutionary_computation
Concept concerning content amplification by recommendation systems
Algorithmic amplification describes increases in the distribution or visibility of content on digital platforms, arising from a combination of automated
Algorithmic_amplification
NP-hard problem in combinatorial optimization
used as a benchmark for many optimization methods. Even though the problem is computationally difficult, many heuristics and exact algorithms are known
Travelling_salesman_problem
American non-fiction author and researcher
known for a bestselling series of books about the human implications of computer science, including The Most Human Human (2011), Algorithms to Live By
Brian_Christian
Japanese light novel series and its franchise
Announces Codename: Sailor V Eternal Edition, Ghost in the Shell: The Human Algorithm, Orient, More Manga for Print". Anime News Network. Retrieved March
That Time I Got Reincarnated as a Slime
That_Time_I_Got_Reincarnated_as_a_Slime
Intelligence in machines
of AI research. Early researchers developed algorithms that imitated step-by-step reasoning that humans use when solving puzzles or making logical deductions
Artificial_intelligence
Algorithm used by Google Search to rank web pages
PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder
PageRank
Algorithmic selection of online media
Algorithm curation is the selection of online media by technologies such as recommender systems and personalized search. Curation entails the selective
Algorithmic_curation
Japanese manga artist (born 1961)
Brenden Fletcher and LRNZ (Star Gardens) The Ghost in the Shell: The Human Algorithm (2019-2025, 8 volumes) by Junichi Fujisaku (story) and Yuki Yoshimoto
Masamune_Shirow
Any algorithm which solves the search problem
science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within a particular
Search_algorithm
Password authentication algorithm
(HOTP) is a one-time password (OTP) algorithm based on the hash-based message authentication code (HMAC) cryptographic algorithm and is a basis for the
HMAC-based_one-time_password
Book by Pedro Domingos
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World is a book by Pedro Domingos released in 2015. Domingos wrote
The_Master_Algorithm
Decision rule used for minimizing the possible loss for a worst-case scenario
winning). A minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game. A value is associated
Minimax
Computational navigational technique used by robots and autonomous vehicles
within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve it in, at least approximately,
Simultaneous localization and mapping
Simultaneous_localization_and_mapping
Optimization algorithm
computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Government regulation
Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly
Regulation_of_algorithms
Principle in artificial intelligence
knowledge directly. Likewise in the game of Go, the AlphaGo algorithm that surpassed human performance relied much less on expert skill at the game itself
Bitter_lesson
Transparency of decisions by algorithms
though the decisions are being made by a machine, and not by a human being. Current research around algorithmic transparency interested in both societal
Algorithmic_transparency
Field of machine learning
environment is typically stated in the form of a Markov decision process, as many reinforcement learning algorithms use dynamic programming techniques. The main
Reinforcement_learning
a less formal sense. For instance, the validity of the output proof may be more apparent to human users than the correctness of the algorithm, or a checker
Certifying_algorithm
Test to determine whether a user is human
A CAPTCHA (/ˈkæp.tʃə/ KAP-chə) is a type of challenge–response Turing test used in computing to determine whether the user is human in order to deter
CAPTCHA
Vector quantization algorithm minimizing the sum of squared deviations
efficient heuristic algorithms converge quickly to a local optimum. These are usually similar to the expectation–maximization algorithm for mixtures of Gaussian
K-means_clustering
Class of reinforcement learning algorithm
In reinforcement learning (RL), a model-free algorithm is an algorithm which does not estimate the transition probability distribution (and the reward
Model-free (reinforcement learning)
Model-free_(reinforcement_learning)
Concept involving online bot activity
out human-authored content on the web. In the time since, social media sites have seen a measured increase in bot activity, such as algorithmic feeds
Dead_Internet_theory
Iterative method for finding maximum likelihood estimates in statistical models
an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates of parameters
Expectation–maximization algorithm
Expectation–maximization_algorithm
Type of algorithm in computer science
In computer science, a deterministic algorithm is an algorithm that, given a particular input, will always produce the same output, with the underlying
Deterministic_algorithm
Art genre
Algorithmic art or algorithm art is art, mostly visual art, in which the design is generated by an algorithm. Algorithmic artists are sometimes called
Algorithmic_art
Optimization algorithm
Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate
Gradient_descent
Art created by a set of rules, often using computers
refers to algorithmic art (algorithmically determined computer generated artwork) and synthetic media (general term for any algorithmically generated
Generative_art
Concept in artificial intelligence
evolutionary coding agent that uses a LLM to design and optimize algorithms. Starting with an initial algorithm and performance metrics, AlphaEvolve
Recursive_self-improvement
Machine learning paradigm
learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output based on example
Supervised_learning
Study of computation
testing of human-made computing systems. As a discipline, computer science spans a range of topics from theoretical studies of algorithms and the limits
Computer_science
Technique of using algorithms to create music
and other interactive interfaces, a fully human-centric approach to algorithmic composition is possible. Some algorithms or data that have no immediate musical
Algorithmic_composition
Citizen science project
earliest examples of human-based computation and human-based genetic algorithm. It uses both human-based selection and three types of human-based innovation
3form
Concept in the digital humanities
with human-oriented sociocultural attributes. An early occurrence of the term is found in Alexander R. Galloway's classic Gaming: Essays on Algorithmic Culture
Algorithmic_culture
Description of an algorithm that resembles a computer program
for human reading rather than machine control. Pseudocode typically omits details that are essential for machine implementation of the algorithm, meaning
Pseudocode
Process of converting plaintext to ciphertext
to a would-be interceptor. For technical reasons, an encryption scheme usually uses a pseudo-random encryption key generated by an algorithm. For a well-designed
Encryption
Algorithmic management is a term used to describe certain labor management practices in the contemporary digital economy. In scholarly uses, the term
Algorithmic_management
Deliberate errors by an artificial intelligence
player to compete against each other. The main purpose in this algorithm is to choose a move that maximizes the player's chance of winning and avoid moves
Artificial_stupidity
Type of AI with wide-ranging abilities
Artificial general intelligence (AGI) is a hypothetical type of artificial intelligence that matches or surpasses human capabilities across virtually all cognitive
Artificial general intelligence
Artificial_general_intelligence
Algorithms to complete a sudoku
puzzles using a backtracking algorithm, which is a type of brute force search. Backtracking is a depth-first search (in contrast to a breadth-first search)
Sudoku_solving_algorithms
Decision tree algorithm
3) is a greedy algorithm invented by Ross Quinlan used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm. The 3
ID3_algorithm
Searching for patterns in text
A string-searching algorithm, sometimes called string-matching algorithm, is an algorithm that searches a body of text for portions that match by pattern
String-searching_algorithm
Decision-making process conducted with varying degrees of human oversight
Automated decision-making (ADM) is the use of data, machines and algorithms to make decisions in a range of contexts, including public administration, business
Automated_decision-making
Compact encoding of digital data
frequency range of human hearing. The earliest algorithms used in speech encoding (and audio data compression in general) were the A-law algorithm and the μ-law
Data_compression
Machine learning-based search engine algorithm
RankBrain is a machine learning-based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. It helps Google to process
RankBrain
This is a chronologically ordered list of metaphor-based metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing
List of metaphor-based metaheuristics
List_of_metaphor-based_metaheuristics
Game-playing artificial intelligence
AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses
AlphaZero
Artificial intelligence system for discovering matrix multiplication algorithms
discovered thousands of matrix multiplication algorithms, including algorithms that rediscovered known human-designed methods and others that improved on
AlphaTensor
Legal concept of autonomous algorithms
Algorithmic entities refer to autonomous algorithms that operate without human control or interference. Recently, attention is being given to the idea
Algorithmic_entities
System for ordering algorithmic trades
system (ATS), a subset of algorithmic trading, uses a computer program to create buy and sell orders and automatically submits the orders to a market center
Automated_trading_system
Search algorithm
Alpha–beta pruning is a tree search algorithm that seeks to decrease the number of nodes that are evaluated by the minimax algorithm in its search tree.
Alpha–beta_pruning
Digital identifier derived from the data by an algorithm
computer science, a fingerprinting algorithm is a procedure that maps an arbitrarily large data item (such as a computer file) to a much shorter bit string
Fingerprint_(computing)
Measure of parallel computing efficacy
computer algorithms, refers to a measure of how effectively parallel computing can be used to solve a particular problem. A parallel algorithm is considered
Cost_efficiency
Search engine from Google
occurred in a page, or how strongly associated the search terms were within each resulting page. The PageRank algorithm instead analyzes human-generated
Google_Search
Search engine algorithm used by Google
Hummingbird is the codename given to a significant algorithm change in Google Search in 2013. Its name was derived from the speed and accuracy of the
Google_Hummingbird
Method in which data is created algorithmically as opposed to manually
generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated content and algorithms coupled
Procedural_generation
Chronological table of metaheuristic algorithms
This is a chronological table of metaheuristic algorithms that only contains fundamental computational intelligence algorithms. Hybrid algorithms and multi-objective
Table_of_metaheuristics
Analysing a string of symbols, according to the rules of a formal grammar
information.[citation needed] Some parsing algorithms generate a parse forest or list of parse trees from a string that is syntactically ambiguous. The
Parsing
Audio companding algorithm
files? See media help. The μ-law algorithm (sometimes written mu-law, often abbreviated as u-law) is a companding algorithm, primarily used in eight-bit PCM
Mu-law_algorithm
Usage of artificial intelligence to generate music
fields, AI in music simulates complex human cognitive processes. A prominent feature is the capability of an AI algorithm to learn from historical data, such
Artificial intelligence in music
Artificial_intelligence_in_music
Artificial intelligence model developed by TypeSafe AI
open-weight LLM. Jev is trained exclusively on synthetic data, by an algorithm the company calls Reinforcement Learning for Calibrated Decisions (RLCD)
Jev_(AI_model)
Approach to the effective management of people in a company
Human resource management (HRM) is the strategic and coherent approach to the effective and efficient management of people in a company or organization
Human_resource_management
Computational problem in graph theory
Ross as a simplified model of Soviet railway traffic flow. In 1955, Lester R. Ford, Jr. and Delbert R. Fulkerson created the first known algorithm, the Ford–Fulkerson
Maximum_flow_problem
Bottom-up parser that interprets an operator-precedence grammar
Dijkstra's shunting yard algorithm is commonly used to implement operator-precedence parsers. An operator-precedence parser is a simple shift-reduce parser
Operator-precedence_parser
Totality of psychological phenomena
seeks to uncover the algorithm as a formal step-by-step procedure to solve the problem. The most concrete level asks how the algorithm is implemented through
Mind
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A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
A HUMAN-ALGORITHM
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