Cognitive Agent Action

A Cognitive Agent Action is an intelligent agent action that is performed by a cognitive agent through mental processes involving perception, reasoning, and intentional behavior.

• AKA: Cognitive Agent Act, Cognitive Act, Reasoned Action, Mental Agent Behavior.
• Context:
  • It can typically constitute a specific manifestation of cognitive agent behavior through observable execution.
  • It can typically involve cognitive agent perception of environmental states and situational context.
  • It can typically require cognitive agent reasoning about action options and potential outcomes.
  • It can typically reflect cognitive agent goals and cognitive agent intentions in its execution pattern.
  • It can typically demonstrate cognitive agent adaptation to changing circumstances and novel situations.
  • It can typically exhibit cognitive agent learning from past experience and feedback integration.
  • ...
  • It can often follow cognitive agent decision processes involving cognitive agent deliberation.
  • It can often express cognitive agent values through goal-directed behavior.
  • It can often balance competing objectives through cognitive agent priority management.
  • It can often address cognitive agent beliefs about world states and causal relationships.
  • It can often incorporate cognitive agent emotional states alongside rational considerations.
  • It can often entail cognitive agent sacrifice of alternative actions and their potential benefits.
  • It can often serve as the implementation of a conscious agent choice through behavioral execution.
  • ...
  • It can range from being a Past Cognitive Agent Action to being a Present Cognitive Agent Action to being a Future Cognitive Agent Action, depending on its temporal position.
  • It can range from being a Simple Cognitive Agent Action to being a Complex Cognitive Agent Action, depending on its cognitive agent action complexity.
  • It can range from being an Instinctive Cognitive Agent Action to being a Deliberate Cognitive Agent Action, depending on its cognitive agent deliberation level.
  • It can range from being a Reactive Cognitive Agent Action to being a Proactive Cognitive Agent Action, depending on its cognitive agent initiation mode.
  • It can range from being a Habitual Cognitive Agent Action to being a Novel Cognitive Agent Action, depending on its cognitive agent familiarity.
  • It can range from being an Individual Cognitive Agent Action to being a Collective Cognitive Agent Action, depending on its cognitive agent participation scope.
  • It can range from being a Low-Impact Cognitive Agent Action to being a High-Consequence Cognitive Agent Action, depending on its cognitive agent action significance.
  • It can range from being a Self-Serving Cognitive Agent Action to being an Other-Oriented Cognitive Agent Action, depending on its cognitive agent beneficiary focus.
  • ...
  • It can follow a cognitive agent action pattern shaped by prior experience and learned behavior.
  • It can be preceded by a cognitive agent action decision involving option evaluation and choice commitment.
  • It can generate cognitive agent action consequences through causal chains and environmental interaction.
  • It can reflect cognitive agent character through behavioral consistency across similar situations.
  • It can contribute to cognitive agent identity formation through repeated choice patterns and self-narrative.
  • It can involve cognitive agent moral responsibility when affecting other agents or shared resources.
  • ...
• Examples:
  • Cognitive Agent Action Types by agent category, such as:
    • Human Cognitive Agent Actions, such as:
      • Human Acts, such as:
        • Action by a Person like "person P applied for job J on day D."
        • Person Communication Acts like "person P conveyed message M to person Q."
        • Person Movement Acts like "person P traveled from location L1 to location L2."
        • Person Creation Acts like "person P developed artifact A for purpose P."
      • Group Cognitive Acts, such as:
        • Team Decision Acts like "team T selected strategy S for project P."
        • Collective Problem-Solving Acts like "group G developed solution S collaboratively."
        • Coordinated Actions like "organization O implemented plan P across units U."
    • Artificial Cognitive Agent Actions, such as:
      • AI System Acts, such as:
        • AI Decision Acts like "AI system A classified input I as category C."
        • AI Learning Acts like "AI system A updated its model M based on data D."
        • AI Planning Acts like "AI system A developed sequence S to achieve goal G."
      • Cognitive Robot Acts, such as:
        • Robot Navigation Acts like "robot R mapped environment E and selected path P."
        • Robot Manipulation Acts like "robot R grasped object O with appropriate force F."
  • Cognitive Agent Action Types by deliberation level, such as:
    • Automatic Cognitive Agent Actions, such as:
      • Habitual Responses based on established patterns.
      • Skilled Performances reflecting practice and procedural memory.
      • Intuitive Reactions drawing on implicit knowledge.
    • Semi-Deliberate Cognitive Agent Actions, such as:
      • Routine Decisions requiring minimal consideration.
      • Familiar Problem Solvings using established heuristics.
      • Guided Responses following prior instructions.
    • Fully Deliberative Cognitive Agent Actions, such as:
      • Complex Decisions weighing multiple factors and consequences.
      • Novel Problem Solvings requiring creative approaches.
      • Moral Dilemma Resolutions balancing competing ethical values.
      • Strategic Plannings considering long-term impacts and contingency options.
  • Cognitive Agent Action Types by moral dimension, such as:
    • Moral Cognitive Agent Actions, such as:
      • Ethical Choices based on moral principles.
      • Altruistic Acts benefiting others at personal cost.
      • Justice-Promoting Acts addressing fairness and equity.
      • Principled Sacrifices upholding core values despite adverse consequences.
    • Amoral Cognitive Agent Actions, such as:
      • Practical Decisions based on efficiency rather than moral considerations.
      • Technical Actions focused on functional outcomes.
      • Preference-Based Choices reflecting taste rather than ethical judgment.
    • Immoral Cognitive Agent Actions, such as:
      • Harmful Acts causing unjustified damage.
      • Deceptive Behaviors involving intentional misrepresentation.
      • Exploitative Actions taking unfair advantage of others.
  • ...
• Counter-Examples:
  • Non-Cognitive Agent Actions, which lack mental processes and intentional control, such as the behavior of simple machines operating on fixed algorithms without adaptability.
  • Ant Behaviors, which follow instinctive programs and chemical signals rather than conscious deliberation and reasoned choice.
  • Purely Reflexive Responses, which occur through automatic neural pathways without higher cognitive processing or intentional direction.
  • Random Events, which lack purposeful causation and occur through chance rather than agent intention.
  • Coerced Behaviors, which override agent autonomy through external force rather than reflecting authentic cognitive processes.
  • Plant Tropisms, which involve stimulus response without mental representation or cognitive evaluation.
• See: Unintentional Act, Intelligent Agent Act, Conscious Agent Choice, Deliberate Action, Cognitive Agent Behavior, Cognitive Agent Decision, Moral Agency, Human Act, Action by a Person, Action Theory, Mental Causation, Agent Autonomy.

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