Information Processing Task
(Redirected from Information Processing)
Jump to navigation
Jump to search
An Information Processing Task is a data-processing task that requires the conversion of latent information into manifest information.
- AKA: IPT, Information Transformation, Information Conversion.
- Context:
- Input: Latent Information
- Output: Manifest Information
- Measure: Information Processing Quality Measures
- ...
- It can (typically) transform Information States through state transitions.
- It can (typically) reduce Information Uncertainty through data analysis.
- It can (typically) preserve Information Content through content validation.
- It can (typically) handle Data Streams through stream processing.
- It can (typically) maintain Data Integrity through validation checks.
- It can (often) require Information Observations through sensors.
- It can (often) involve Format Conversion through transformation rules.
- It can (often) perform Data Filtering through filter criteria.
- It can (often) support Pattern Recognition through pattern matching.
- It can (often) enable Knowledge Discovery through data mining.
- It can (often) facilitate Information Retrieval through search mechanisms.
- ...
- It can range from being a Complex Information-Processing Task to being a Simple Information-Processing Task, depending on its processing complexity.
- It can range from being an Information-Processing Micro-Task to being an Information-Processing Macro-Task, depending on its processing scope.
- It can range from being a Centralized Information Task to being a Distributed Information Task, depending on its processing architecture.
- It can range from being a Sequential Information Task to being a Parallel Information Task, depending on its processing mode.
- It can range from being a Manual Information Processing Task to being an Automated Information Processing Task, depending on its automation level.
- It can range from being a Single-Source Information Task to being a Multi-Source Information Task, depending on its input diversity.
- It can range from being a Deterministic Information Task to being a Probabilistic Information Task, depending on its processing certainty.
- It can range from being a Batch Information Task to being a Real-Time Information Task, depending on its temporal requirements.
- ...
- It can be solved by an Information Processing System (that implements an information processing algorithm).
- It can maintain Processing State (for process tracking).
- It can produce Processing Output (for result validation).
- It can support Decision Making (through information transformation).
- It can integrate with Data Storage Systems.
- It can connect to Information Networks.
- It can enhance Knowledge Management Systems.
- It can augment Business Intelligence Systems.
- ...
- Examples:
- Computational Processing Tasks, such as:
- Distributed Processing Tasks, such as:
- Information Enrichment Tasks, such as:
- Document Processing Tasks, such as:
- Vision Processing Tasks, such as:
- Sound Processing Tasks, such as:
- Taste Processing Tasks, such as:
- ...
- Counter-Examples:
- Manual Labor Tasks, which manipulate physical objects rather than information.
- Decision Making Tasks, which select actions rather than process information.
- Physical Process Tasks, which transform matter rather than information.
- See: Cognitive Task, Tacit Knowledge, Explicit Representation, Information Theory, Processing System.
References
2024-11-26
- Perplexity.ai
- Question: What is an Information Processing Task and how does it function? Please explain its core tasks, including the transformation from latent to manifest information, its various types (sequential, parallel, distributed, centralized), and key processing stages. Include examples of different processing tasks and explain how they differ from non-information tasks. Also describe the quality measures and implementation requirements. Please structure the response to cover both theoretical framework and practical applications in computational and cognitive domains. Focus on tasks, not methods/algorithms or systems.
- Answer: An Information Processing Task is a cognitive operation that converts latent (hidden or potential) information into manifest (explicit or observable) information. This transformation process is fundamental to both human cognition and computational systems.
- Core Processing Stages:
- Input Stage:
- Process begins with receiving sensory or data input through various channels
- In cognitive systems, occurs through sensory organs
- In computational systems, occurs through input devices or data streams
- Processing Components:
- Input Stage:
- Task Classifications:
- Processing Architecture:
- Centralized: Single processing point
- Distributed: Multiple processing nodes
- Sequential: Linear processing flow
- Parallel: Concurrent operations
- Scope Categorys:
- Micro-Tasks: Focused, singular operations
- Macro-Tasks: Complex, multi-step processes
- Manual Tasks: Human-driven processing
- Automated Tasks: System-driven processing
- Processing Architecture:
- Task Examples:
- Common Processing Tasks:
- Non-Information Tasks differ in their primary focus:
- Quality Measures:
- Key Metrics:
- Process measures: Compliance with implemented actions
- Outcome measures: Results and effectiveness
- Structural measures: Organizational capacity
- Balancing measures: System stability
- Key Metrics:
- Implementation Framework:
- The execution follows a structured approach:
- Cognitive Applications:
- Core Processing Stages:
- Citations:
[1] https://psychologyfanatic.com/information-processing-theory/ [2] https://www.gabormelli.com/RKB/Information_Processing_Task [3] https://pmc.ncbi.nlm.nih.gov/articles/PMC10229016/ [4] https://www.mentalhealth.com/library/information-processing-theory-child-development [5] https://en.wikipedia.org/wiki/Information_processing_theory
2024
- (Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/information_processing Retrieved:2024-11-26.
- Information processing may refer to:
- Data processing in computer science, the collection and manipulation of digital data to produce meaningful information, esp.
- Electronic data processing, the use of automated methods to process data
- Information processing (psychology) an approach to the goal of understanding human thinking
- Data processing in computer science, the collection and manipulation of digital data to produce meaningful information, esp.
- Information processing may refer to:
2014
- (Navlakha & Bar-Joseph, 2014) ⇒ Saket Navlakha, and Ziv Bar-Joseph. (2014). “Distributed Information Processing in Biological and Computational Systems.” In: Communications of the ACM Journal, 58(1). doi:10.1145/2678280
- QUOTE: Exploring the similarities and differences between distributed computations in biological and computational systems.
Biological systems, ranging from the molecular to the cellular to the organism level, are distributed and in most cases operate without central control. Such systems must solve information processing problems that are often very similar to problems faced by computational systems, including coordinated decision making, 29 leader election, 2 routing and navigation, 52 and more.42
- QUOTE: Exploring the similarities and differences between distributed computations in biological and computational systems.
2013
- http://en.wikipedia.org/wiki/Information_processing
- Information processing is the change (processing) of information in any manner detectable by an observer. As such, it is a process that describes everything that happens (changes) in the universe, from the falling of a rock (a change in position) to the printing of a text file from a digital computer system. In the latter case, an information processor is changing the form of presentation of that text file.
Information processing may more specifically be defined in terms used by Claude E. Shannon as the conversion of latent information into manifest information (McGonigle & Mastrian, 2011). Latent and manifest information is defined through the terms of equivocation (remaining uncertainty, what value the sender has actually chosen), dissipation (uncertainty of the sender what the receiver has actually received), and transformation (saved effort of questioning - equivocation minus dissipation) (Denning and Bell, 2012).
- Information processing is the change (processing) of information in any manner detectable by an observer. As such, it is a process that describes everything that happens (changes) in the universe, from the falling of a rock (a change in position) to the printing of a text file from a digital computer system. In the latter case, an information processor is changing the form of presentation of that text file.