Cognitive Agent

A Cognitive Agent is an intelligent agent that can perform cognitive processes (to enable mental functions and thought operations).

AKA: Mental Entity, Thought Element, Cognitive Unit.
Context:
- It can (typically) maintain Cognitive States through cognitive mental conditions and cognitive thought states.
- It can (typically) perform Cognitive Actions via cognitive mental execution.
- It can (typically) process Cognitive Information through cognitive information analysis.
- It can (typically) develop Cognitive Models of cognitive environments.
- It can (typically) contain an Cognitive Inductive Reasoning System for cognitive pattern recognition.
- It can (typically) contain a Cognitive Deductive Reasoning System for cognitive logical inference.
- It can (typically) have a Cognitive Learning Ability for cognitive knowledge acquisition.
- It can (typically) have a Cognitive System for cognitive information processing.
- It can (typically) demonstrate Cognitive Processing Capability in cognitive mental operations.
- It can (typically) possess Cognitive Storage Capacity in cognitive memory functions.
- It can (typically) form Cognitive Connection Patterns in cognitive networks.
- It can (typically) manipulate Cognitive Representations through cognitive information transformation.
- It can (typically) engage in Cognitive Information Acquisition through cognitive sensory processes.
- ...
- It can (often) adapt Cognitive Patterns through cognitive adjustment.
- It can (often) modify Cognitive Structures via cognitive reorganization.
- It can (often) enhance Cognitive Performance through cognitive learning.
- It can (often) engage in Cognitive Reasoning through cognitive logical processes.
- It can (often) achieve Cognitive Awareness of cognitive states and cognitive environments.
- It can (often) contain an Cognitive Abductive Reasoning System for cognitive hypothesis generation.
- It can (often) be supported by a Cognitive Operating System for cognitive mental operations.
- It can (often) make Cognitive Decisions that lead to Cognitive Actions.
- It can (often) be a Cognitive Linguistic Agent capable of cognitive symbol manipulation.
- It can (often) develop Cognitive Mental Models of its cognitive environment.
- It can (often) engage in Cognitive Restructuring to adapt cognitive belief patterns.
- It can (often) apply Cognitive Chunking to optimize cognitive information processing.
- It can (often) demonstrate Cognitive Abstraction to simplify cognitive representations.
- It can (often) utilize Cognitive Modular Processing for cognitive specialized functions.
- It can (often) participate in Cognitive Distributed Systems across cognitive collective structures.
- ...
- It can range from being a Simple Cognitive Agent to being a Complex Cognitive Agent, depending on its cognitive complexity.
- It can range from being a Basic Cognitive Agent to being an Advanced Cognitive Agent, depending on its cognitive functional sophistication.
- It can range from being a Concrete Cognitive Agent to being an Abstract Cognitive Agent, depending on its cognitive abstraction level.
- It can range from being a Temporary Cognitive Agent to being a Permanent Cognitive Agent, depending on its cognitive temporal stability.
- It can range from being a Local Cognitive Agent to being a Distributed Cognitive Agent, depending on its cognitive distribution.
- It can range from being a Natural Cognitive Agent to being a Synthetic Cognitive Agent, depending on its cognitive implementation type.
- It can range from being an Accessible Cognitive Agent to being an Inaccessible Cognitive Agent, depending on its cognitive conscious awareness availability.
- It can range from being a Symbolic Cognitive Agent to being a Subsymbolic Cognitive Agent, depending on its cognitive representational format.
- It can range from being a Conscious Cognitive Agent to being a Non-Conscious Cognitive Agent, depending on its cognitive consciousness level.
- It can range from being a Living Cognitive Agent to being a Mechanical Cognitive Agent, depending on its cognitive implementation substrate.
- It can range from being an Emotional Cognitive Agent to being a Non-Emotional Cognitive Agent, depending on its cognitive emotional capacity.
- It can range from being a Single Domain Cognitive Agent to being a General Intelligence Cognitive Agent, depending on its cognitive domain breadth.
- It can range from being an Autonomous Cognitive Agent to being a Dependent Cognitive Agent, depending on its cognitive independence level.
- It can range from being a Fixed Cognitive Agent to being an Adaptive Cognitive Agent, depending on its cognitive learning capability.
- It can range from being an Individual Cognitive Agent to being a Collective Cognitive Agent, depending on its cognitive entity distribution.
- It can interact with other Cognitive Agents through cognitive interaction mechanisms.
- It can participate in Cognitive Systems as cognitive components.
- It can contribute to Cognitive Architectures as cognitive building blocks.
- It can facilitate Cognitive Processes through cognitive operations.
- It can express Cognitive Content through cognitive mental representations.
- It can exist within Cognitive Domains at various cognitive levels.
- It can have a Cognitive Skill Level in various cognitive domains.
- It can be an Cognitive Introspecting System with cognitive self-awareness.
- It can have Cognitive Personal Interests driving cognitive motivation.
- It can have a Cognitive Bias affecting cognitive decision making.
- It can possess Cognitive Theory of Mind for cognitive social cognition.
- It can develop Cognitive Learning Strategies for cognitive skill acquisition.
- It can engage in Cognitive Chunking Processes to optimize cognitive memory utilization.
- It can form Cognitive Cohesive Units through cognitive information integration.
- It can exhibit Cognitive Modularity through cognitive specialized processing.
- It can demonstrate Cognitive Adaptability in response to cognitive environmental changes.
- It can utilize Cognitive Categorical Structures for cognitive information organization.
- ...
Examples:
- Cognitive Agent Types by function, such as:
  - Worker Cognitive Agents, performing cognitive work tasks.
  - Reasoning Cognitive Agents, engaging in cognitive reasoning processes.
  - Aware Cognitive Agents, maintaining cognitive awareness states.
  - Concept Cognitive Agents, representing cognitive conceptual knowledge.
  - Memory Cognitive Agents, facilitating cognitive memory functions.
  - Decision-Making Cognitive Agents, executing cognitive choice processes.
  - Learning Cognitive Agents, adapting through cognitive learning processes.
  - Problem-Solving Cognitive Agents, addressing cognitive challenge scenarios.
- Cognitive Agent Types by implementation, such as:
- Cognitive Agent States, such as:
  - Conscious Cognitive Agents, maintaining conscious cognitive mental states.
  - Subconscious Cognitive Agents, operating below conscious cognitive awareness.
  - Unconscious Cognitive Agents, functioning without conscious cognitive control.
  - Focus Cognitive Agents, directing cognitive attentional resources.
  - Relaxed Cognitive Agents, enabling cognitive creative processes.
  - Flow Cognitive Agents, achieving cognitive optimal performance states.
- Cognitive Agent Types by mental function, such as:
- Cognitive Agent Types by complexity, such as:
  - Elementary Cognitive Agents, such as:
  - Compound Cognitive Agents, such as:
- Cognitive Agent Types by abstraction, such as:
  - Concrete Cognitive Agents, processing concrete cognitive representations.
  - Abstract Cognitive Agents, handling abstract cognitive concepts.
  - Meta-Cognitive Agents, engaging in cognitive self-reflective processes.
- ...
Counter-Examples:
- Intelligent Entity, which encompasses broader intelligence capability beyond just cognitive functions.
- Non-cognitive Intelligent Agent, which demonstrates intelligent behavior without cognitive processing.
- Physical Neural Structure, which provides physical substrate for cognitive agents but is not itself a cognitive agent.
- Data Structure, which may store cognitive information but does not itself perform cognitive functions.
- Information Processing System, which may execute algorithmic operations without cognitive characteristics.
- Passive Knowledge Repository, which contains knowledge content but cannot actively engage in cognitive processes.
- Reactive System without cognitive internal representations.
- Simple Reflex Agent with fixed cognitive response patterns.
- Instinct-Driven Organism without cognitive learning capabilitys.
- Basic Tool without cognitive adaptive behavior.
- Static Program without cognitive decision making.
- Cognitive Module, which is a component of a cognitive agent rather than an agent itself.
- Cognitive Network, which is a structure formed by cognitive agents rather than being an agent itself.
- Mental Representation, which is a product created by cognitive agents rather than being an agent itself.
See: Intelligent Entity, Cognition, Cognitive System, Cognitive Process, Mental State, Cognitive Action, Conscious Mental State, Abstract Entity, Intelligent Agent, Cognitive Architecture, Mind, Intelligence Type, Learning System, Decision Making Process, Knowledge Representation, Adaptive Behavior, Embodied Cognition, Cognitive Development, Cognitive Module, Distributed Cognition, Cognitive Restructuring, Cognitive Complexity, Cognitive Abstraction, Cognitive Unit, Cognitive Chunking.

References

2009

(Berg-Cross, 2009) ⇒ Gary Berg-Cross. (2009). “Is An Agent Theory of Mind (ToM) Valuable for Adaptive, Intelligent Systems?.” In: Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems. doi:10.1145/1865909.1865936
- QUOTE: Formalized as a ToM theory these propose alternative inherited or acquired paths by which a particular cognitive capacity may arise in a cognitive agent (children) so they understand and predict external behavior of others by attributing unobservable mental states, such as beliefs, desires and intentions.

2002

(Riegler, 2002) ⇒ Alexander Riegler. (2002). “When is a Cognitive System Embodied?.” In: Cognitive Systems Research Journal, 3(3). doi:10.1016/S1389-0417(02)00046-3
- QUOTE: For cognitive systems, embodiment appears to be of crucial importance.

Cognitive Agent

References

2009

2002

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