The EU is sensitive to this, and to a set of related
algorithmic problems, and posits, in the preamble to the GPDR regulations, that an individual has the right to «an explanation of the decision reached after [algorithmic] assessment,» (Goodman and Flaxman, as cited by Ethan Chiel).
The typology includes: logical problems,
algorithmic problems, story problems (which are
algorithmic problems with a story wrapper), «rule - using» problems, decision - making problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault, eliminating a problem space), «diagnosis - solution» problems (characteristic of medical school, which involve small groups understanding the problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic - performance, case analysis (characteristic of law or business school, which involve adapting tactics to support an overall strategy and reflecting on authentic situations), design problems, and dilemmas (such as global warming, which are complex and involve competing values, and which may have no solutions).
The typology includes logical problems,
algorithmic problems, story problems (which have underlying algorithms with a story wrapper that amounts to an algorithmic problem), rule - using problems, decision - making problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault and eliminating a problem space), diagnosis - solution problems (characteristic of medical school and involving small groups understanding the problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic performance, case analysis (characteristic of law or business school and involving adapting tactics to support an overall strategy and reflecting on authentic situations), design problems, and dilemmas (such as global warming, which are complex and involve competing values and which may have no obvious solutions).
Quantum computers may one day solve
algorithmic problems which even the biggest supercomputers today can't manage.
Know what is a database problem and what is
an algorithmic problem.
As reward for validating and processing transactions via PoW — also known as mining — users — commonly referred to as miners — are rewarded in ether (ETH), as their computational resources have not only solved a complex
algorithmic problem, but contributed towards maintaining the security, integrity, and validity of the network.
Not exact matches
In 1986, Hinton and two colleagues wrote a seminal paper offering an
algorithmic solution to the error - correction
problem.
While initial efforts to define and tackle this
problem were focused on hoaxes, the root of the
problem is that both good and bad content are incentivized by the same sets of tools and
algorithmic changes.
Evgeny Morozov, well - known for his pessimism with respect to the internet, has an interesting concept of «
algorithmic regulation» — whereby Silicon Valley tech companies offer technical solutions to political
problems, essentially through using data to try and craft individual behaviours, create certain incentives in order to prod people in certain directions.
The University of Connecticut philosophy professor posed the
problem to her computer scientist spouse, Michael Anderson, figuring his
algorithmic expertise might help.
GB:
Algorithmic thinking skills support the development of general reasoning,
problem - solving and communication skills by giving students the skills to fluently interpret and design structured procedures and rule systems.
With
algorithmic thinking, it means younger students have more time to develop effective habits in their processing of tasks and
problem solving.
The focus of
algorithmic thinking is the algorithm or
problem - solving strategy, whereas, the focus of coding is the translation of the algorithm into a language that a computer can execute, a process called implementation.
Computational thinking: A
problem - solving process that includes, but is not limited to, the following characteristics: formulating
problems in a way that enables us to use a computer and other tools to solve them; logically organizing and analyzing data; representing data through abstractions such as models and simulations; automating solutions through
algorithmic thinking (a series of ordered steps); identifying, analyzing and implementing possible solutions with the goal of achieving the most efficient and effective combination of steps and resources; and generalizing and transferring this
problem - solving process to a wide variety of
problems.
An
algorithmic forex trading platform is an answer to all such
problems traders face in financial markets.
The way that people and organizations address
problems can almost always fit somewhere on this scale: (1) intuition / biological response (2) subject matter expertise (3) statistics (4) data science and (5) autonomous
algorithmic decision - making.
The
problem with too much reliance on that is that issues arise in easy and unexpected ways, leading to exponential complexities that militate against
algorithmic solutions.
However the executive body appears to be seeking to bundle up various types of «illegal» content into the same
problem bucket — and quickly drew criticism it risks encouraging
algorithmic censorship by seeking to create one set of rules to apply to copyrighted content and terrorist propaganda, for example.
She then moved on to interrogate the companies on the
problem of «
algorithmic extremism» — saying that after her searches for the National Action video her YouTube recommendations included a series of far right and racist videos and channels.
Noting that the
problem affects all three platforms, Cooper then directly accused the companies of operating radicalizing
algorithmic information hierarchies — «because your algorithms are doing that grooming and that radicalization», while the companies in charge of the technology are not stopping it.