Problem Solving Task
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A Problem Solving Task is an intellectual task that requires a plan to attain a goal through systematic solution processes.
- AKA: Solution Development, Problem Resolution, Goal Achievement.
- Context:
- Task Input: Problem Statement, Goal State, Initial State
- Task Output: Action Plan, Solution Strategy, Implementation Steps
- Task Performance Measure: Task Duration, Tasks Per Duration, Solution Quality, Goal Achievement Level
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- It can involve Problem Decomposition through systematic breakdown.
- It can require Critical Thinking through analytical processes.
- It can utilize Solution Strategy through structured planning.
- It can apply Domain Knowledge through expert understanding.
- It can employ Problem Analysis through systematic investigation.
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- It can often integrate Problem Finding during initial assessment.
- It can often perform Problem Shaping during problem refinement.
- It can often require Decision Making during solution selection.
- It can often utilize Problem Solving Heuristics during solution development.
- It can often implement Solution Testing during validation process.
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- It can range from being a Simple Problem-Solving Task to being a Complex Problem-Solving Task, depending on its problem complexity.
- It can range from being an Offline Problem-Solving Task to being a Real-Time Problem-Solving Task, depending on its time constraints.
- It can range from being a Mechanistic Problem-Solving Task to being an Agent-based Problem-Solving Task, depending on its solution approach.
- It can range from being a Real-World Problem-Solving Task to being a Synthetic Problem-Solving Task, depending on its problem domain.
- It can range from being a Manual Problem-Solving Task to being an Automated Problem-Solving Task, depending on its execution mode.
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- It can include a Problem Analysis Task, Problem Solving Planning Task, Problem Solving Resolution Task.
- It can be solved by a Problem Solving Entity with varying problem solving skill level.
- It can integrate with Decision Support Systems for solution assistance.
- It can utilize Problem Solving Systems for automated resolution.
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- Examples:
- General Problem-Solving Tasks, such as:
- Domain-Specific Problem Solvings, such as:
- Natural Intelligence Problems, such as:
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- Counter-Examples:
- Question Answering Tasks, which focus on information retrieval rather than solution generation.
- Simple Task Execution, which follows predefined steps without problem analysis.
- Random Search Tasks, which lack structured problem solving strategy.
- Routine Operation Tasks, which don't require problem analysis or planning.
- Data Collection Tasks, which gather information without solution generation.
- See: Decision Making, Problem Solving Heuristic, Intelligence Task, Problem Finding, Problem Shaping, Decision Support, Critical Thinking.
References
2021
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/problem_solving Retrieved:2021-12-29.
- Problem solving consists of using generic or ad hoc methods in an orderly manner to find solutions to difficulties.
Some of the problem-solving techniques developed and used in philosophy, medicine, societies, mathematics, engineering, computer science, and artificial intelligence in general are related to mental problem-solving techniques studied in psychology and cognitive sciences.
- Problem solving consists of using generic or ad hoc methods in an orderly manner to find solutions to difficulties.
2018
2013a
- http://en.wikipedia.org/wiki/Problem_solving#Psychology
- In psychology, problem solving refers to a state of desire for reaching a definite 'goal' from a present condition that either is not directly moving toward the goal, is far from it, or needs more complex logic for finding a missing description of conditions or steps toward the goal.[1] In psychology, problem solving is the concluding part of a larger process that also includes problem finding and problem shaping.
Considered the most complex of all intellectual functions, problem solving has been defined as a higher-order cognitive process that requires the modulation and control of more routine or fundamental skills.[2] Problem solving has two major domains: mathematical problem solving and personal problem solving where, in the second, some difficulty or barrier is encountered.[3] Further problem solving occurs when moving from a given state to a desired goal state is needed for either living organisms or an artificial intelligence system.
While problem solving accompanies the very beginning of human evolution and especially the history of mathematics, the nature of human problem solving processes and methods has been studied by psychologists over the past hundred years. Methods of studying problem solving include introspection, behaviorism, simulation, computer modeling, and experiment. Social psychologists have recently distinguished between independent and interdependent problem-solving (see more).[4]
- In psychology, problem solving refers to a state of desire for reaching a definite 'goal' from a present condition that either is not directly moving toward the goal, is far from it, or needs more complex logic for finding a missing description of conditions or steps toward the goal.[1] In psychology, problem solving is the concluding part of a larger process that also includes problem finding and problem shaping.
- ↑ "In each case "where you want to be" is an imagined (or written) state in which you would like to be. We might use the term 'Problem Identification' or analysis in order to figure out exactly what the problem is. After we have found a problem we need to define what the problem is. In other words, a distinguished feature of a problem is that there is a goal to be reached and how you get there is not immediately obvious.", What is a problem? in S. Ian Robertson, Problem solving, Psychology Press, 2001, p. 2.
- ↑ Template:Wikicite
- ↑ Bernd Zimmermann, On mathematical problem solving processes and history of mathematics, University of Jena
- ↑ Rubin, M., Watt, S. E., & Ramelli, M. (2012). Immigrants’ social integration as a function of approach-avoidance orientation and problem-solving style. International Journal of Intercultural Relations, 36, 498-505. Template:Doi
2013b
- http://en.wikipedia.org/wiki/Problem_solving#Computer_Science_and_Algorithmics
- In computer science and in the part of artificial intelligence that deals with algorithms ("algorithmics"), problem solving encompasses a number of techniques known as algorithms, heuristics, root cause analysis, etc. In these disciplines, problem solving is part of a larger process that encompasses problem determination, de-duplication, analysis, diagnosis, repair, etc.
2009a
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Expert_system
- … Expert systems may or may not have learning components but a third common element is that once the system is developed it is proven by being placed in the same real world problem solving situation as the human SME, typically as an aid to human workers or a supplement to some information system. …
2009b
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Heuristic
- Heuristic (hyu-ˈris-tik) is an adjective for methods that help in problem solving, in turn leading to learning and discovery. These methods in most cases employ experimentation and trial-and-error techniques. A heuristic method is particularly used to rapidly come to a solution that is reasonably close to the best possible answer, or 'optimal solution'. Heuristics are "rules of thumb", educated guesses, intuitive judgments or simply common sense. Heuristics (hyu-ˈris-tiks) as a noun is another name for heuristic methods.
- In more precise terms, heuristics stand for strategies using readily accessible, though loosely applicable, information to control problem solving in human beings and machines. [1] Forensic engineering is an important tool in tracing defects in products and processes.