Intelligence-Requiring Task

An Intelligence-Requiring Task is an information-processing task (a decisioning task) that has a task goal.

• AKA: Intelligence Task, Smart Task, IRT.
• Context:
  • Input: Task Description, Task Goal
    • optional: task constraints
    • optional: performance criteria
  • Output: Task Goal Solution
  • Measure: Intelligence Task Performance Measure
  • ...
  • It can typically require Mental Abilities through cognitive processes and neural activation.
  • It can typically involve Complex Processing of information patterns and relationship structures.
  • It can typically need Goal Understanding through objective analysis and success criteria interpretation.
  • It can typically demand Adaptive Response to changing conditions and unexpected situations.
  • It can typically utilize Knowledge Application from prior experience and learned concepts.
  • ...
  • It can often require Problem Analysis through systematic examination and component breakdown.
  • It can often involve Solution Generation using creative approaches and analytical methods.
  • It can often necessitate Information Integration from multiple sources and diverse domains.
  • It can often employ Abstract Thinking for conceptual representation and symbolic manipulation.
  • It can often include Self-Monitoring of progress status and effectiveness evaluation.
  • ...
  • It can range from being a Domain-Specific Intelligence Task to being a General Intelligence Task, depending on its intelligence scope.
  • It can range from being a Human-Performed Intelligence Task to being an Automated Intelligence Task, depending on its execution agent.
  • It can range from being a Simple Intelligence Task to being a Complex Intelligence Task, depending on its task complexity.
  • It can range from being an Independent Intelligence Task to being a Social Intelligence Task, depending on its interaction mode.
  • It can range from being a Rote Intelligence Task to being a Creative Intelligence Task, depending on its solution approach.
  • It can range from being a Convergent Intelligence Task to being a Divergent Intelligence Task, depending on its solution structure.
  • It can range from being a Supervised Intelligence Task to being an Autonomous Intelligence Task, depending on its guidance requirement.
  • ...
  • It can typically be supported by: an Abstraction Task, Understanding Task, Communication Task, Judgement Task, Reasoning Task, Learning Task, Memorization, Planning, Theory of Mind, and Problem Solving.
  • It can be solved by an Intelligent System (that implements an intelligence algorithm).
  • It can be instantiated in an Act of Intelligence.
  • It can integrate with Workflow Process for complex problem resolution in organizational contexts.
  • It can connect to Decision Frameworks for structured choice making in uncertain environments.
  • It can support Performance Evaluation through capability assessment and efficiency measurement.
  • ...
• Examples:
  • Strategic Intelligence Tasks, such as:
    • Game Playing Intelligence Tasks for competition, such as:
      • Chess Intelligence Task requiring position evaluation and move planning.
      • Business Strategy Intelligence Task involving market analysis and competitive positioning.
    • Algorithm Design Intelligence Tasks for problem solving, such as:
      • Optimization Intelligence Task for resource allocation and efficiency maximization.
      • Search Algorithm Intelligence Task for information retrieval and pattern identification.
    • Planning Intelligence Tasks for goal achievement, such as:
      • Project Management Intelligence Task requiring timeline development and resource coordination.
      • Route Planning Intelligence Task for optimal path determination with constraint satisfaction.
    • ...
  • Social Intelligence Tasks, such as:
    • Moral Decision Making Intelligence Tasks for ethical reasoning, such as:
      • Ethical Dilemma Intelligence Task requiring value prioritization and consequence analysis.
      • Social Impact Intelligence Task for community effect assessment and stakeholder consideration.
    • Emotional Intelligence Tasks for empathy, such as:
      • Emotional Recognition Intelligence Task requiring affective state identification.
      • Interpersonal Conflict Intelligence Task for relationship management and resolution strategy.
    • Communication Intelligence Tasks for interaction, such as:
      • Persuasive Communication Intelligence Task requiring audience analysis and message tailoring.
      • Cross-Cultural Communication Intelligence Task for cultural sensitivity and contextual adaptation.
    • ...
  • Technical Intelligence Tasks, such as:
    • Software Programming Intelligence Tasks for system development, such as:
      • Algorithm Implementation Intelligence Task requiring logical structure creation and efficiency optimization.
      • Bug Fixing Intelligence Task for error identification and solution implementation.
    • Question-Answering Intelligence Tasks for knowledge retrieval, such as:
      • Factual Intelligence Task requiring accurate information provision from knowledge base.
      • Explanatory Intelligence Task for complex concept clarification and simplified representation.
    • Problem Analysis Intelligence Tasks for solution finding, such as:
      • Root Cause Intelligence Task requiring systematic investigation and causal determination.
      • Solution Evaluation Intelligence Task for alternative comparison and optimal choice selection.
    • ...
  • Creative Intelligence Tasks, such as:
    • Artistic Creation Intelligence Tasks for aesthetic expression, such as:
      • Narrative Development Intelligence Task requiring story structure creation and character development.
      • Visual Design Intelligence Task for aesthetic composition and visual communication.
    • Innovation Intelligence Tasks for novel solution development, such as:
      • Product Innovation Intelligence Task requiring new feature conceptualization.
      • Process Innovation Intelligence Task for workflow improvement and efficiency enhancement.
    • ...
  • Analytical Intelligence Tasks, such as:
    • Data Analysis Intelligence Tasks for pattern discovery, such as:
      • Statistical Analysis Intelligence Task requiring quantitative evaluation and trend identification.
      • Qualitative Analysis Intelligence Task for thematic extraction from unstructured data.
    • Critical Thinking Intelligence Tasks for claim evaluation, such as:
      • Argument Assessment Intelligence Task requiring logical structure analysis and fallacy detection.
      • Evidence Evaluation Intelligence Task for information credibility assessment.
    • ...
  • ...
• Counter-Example(s):
  • Face Recognition Tasks, which are visual classification tasks requiring pattern matching without higher-order reasoning.
  • Random Number Generation Tasks, which lack purposeful intelligence and goal-directed behavior.
  • Reflexive Tasks, which are automatic responses to stimulus without conscious processing.
  • Pure Memorization Tasks, which involve information storage without conceptual understanding or inference generation.
  • Simple Arithmetic Tasks, which follow predetermined procedures without requiring adaptive problem solving.
  • Repetitive Physical Tasks, which involve muscular action rather than cognitive processing.
  • Fixed-Response Tasks, which have predetermined outputs for specific inputs without contextual adaptation.
• See: Social Intelligence, Self-Awareness, Agency Task, Cognitive Function, Problem Solving, Intelligence Assessment, Intelligence Augmentation, Computational Intelligence, Fluid Intelligence, Crystallized Intelligence, Collective Intelligence, Artificial General Intelligence.

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References

2015

• Yann LeCun. (2015). “Augmented Knowledge: Teaching Machines to Understand Us." EMTech-2015
  • QUOTE: Prediction is the essence of intelligence.

2013

• http://en.wikipedia.org/wiki/Intelligence
  • Intelligence has been defined in many different ways including, but not limited to, abstract thought, understanding, self-awareness, communication, reasoning, learning, having emotional knowledge, retaining, planning, and problem solving.

    Intelligence is most widely studied in humans, but has also been observed in animals and in plants. Artificial intelligence is the simulation of intelligence in machines.

    Within the discipline of psychology, various approaches to human intelligence have been adopted. The psychometric approach is especially familiar to the general public, as well as being the most researched and by far the most widely used in practical settings.

• http://en.wikipedia.org/wiki/Intelligence#Definitions
  • The definition of intelligence is controversial. Some groups of psychologists have suggested the following definitions:
  1. From “Mainstream Science on Intelligence” (1994), an editorial statement by fifty-two researchers:
     A very general mental capability that, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly and learn from experience. It is not merely book learning, a narrow academic skill, or test-taking smarts. Rather, it reflects a broader and deeper capability for comprehending our surroundings — "catching on," "making sense" of things, or "figuring out" what to do.}}
  2. From “Intelligence: Knowns and Unknowns” (1995), a report published by the Board of Scientific Affairs of the American Psychological Association:
     Individuals differ from one another in their ability to understand complex ideas, to adapt effectively to the environment, to learn from experience, to engage in various forms of reasoning, to overcome obstacles by taking thought. Although these individual differences can be substantial, they are never entirely consistent: a given person's intellectual performance will vary on different occasions, in different domains, as judged by different criteria. Concepts of "intelligence" are attempts to clarify and organize this complex set of phenomena. Although considerable clarity has been achieved in some areas, no such conceptualization has yet answered all the important questions, and none commands universal assent. Indeed, when two dozen prominent theorists were recently asked to define intelligence, they gave two dozen, somewhat different, definitions.}}

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