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Different kinds of problem-solving (e.g., top-down, bottom-up, and opportunistic problem-solving) could be selectively mixed based on the current state of problem solving. Essentially, the problem-solver was being used both to solve a domain-level problem along with its own control problem, which could depend on the former.
Each knowledge source updates the blackboard with a partial solution when its internal constraints match the blackboard state. In this way, the specialists work together to solve the problem. The blackboard model was originally designed as a way to handle complex, ill-defined problems, where the solution is the sum of its parts.
Computational thinking (CT) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms. [1] In education, CT is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could also execute. [2]
Photomath utilizes the camera of a user's smartphone or tablet to scan and identify mathematical problems. [4] Upon recognition, the app displays the steps to solve the problem. The app presents these steps through various methods and approaches, elucidating the problem-solving process in a step-by-step manner to educate users.
Knowledge Engineering is a field of computer science which offers a significant body of work on problem-solving methods. Problem-solving methods are patterns of reasoning that are applied to solve specific problems. [3] The work on problem abstractions within knowledge engineering can therefore provide a basis for research in software engineering.
Software design usually is directed by goals for the resulting system and involves problem-solving and planning – including both high-level software architecture and low-level component and algorithm design. In terms of the waterfall development process, software design is the activity of following requirements specification and before coding ...
The term problem solving has a slightly different meaning depending on the discipline. For instance, it is a mental process in psychology and a computerized process in computer science. There are two different types of problems: ill-defined and well-defined; different approaches are used for each.
A decomposition paradigm in computer programming is a strategy for organizing a program as a number of parts, and usually implies a specific way to organize a program text. Typically the aim of using a decomposition paradigm is to optimize some metric related to program complexity, for example a program's modularity or its maintainability.