Cognitive Agent

Context:
- It can have a Cognitive Agent Skill Level.
- It can (typically) contain an Inductive Reasoning System.
- It can (typically) contains a Deductive Reasoning System.
- It can (often) contain an Abductive Reasoning System.
- It can (typically) have a Learning Ability.
- It can (typically) have a Cognition System (such as a brain).
- It can range from being a Conscious Agent (and approximate Human Intellectual Abilities) to being a Non-Conscious Cognitive Agent.
- It can range from being a Living Cognitive Agent to being a Mechanical Cognitive Agent.
- It can range from being an Emotional Cognitive Agent to being a Non-Emotional Cognitive Agent.
- It can (typically) be an Introspecting System.
- It can (often) be a Linguistic Agent.
- It can have Personal Interests.
- It can (often) make Cognitive Agent Decisions that lead to Cognitive Agent Actions.
Example(s):
- a Person.
- a Goal-Oriented Agent.
- a near-future Grade-4 Passing AI.
- a Decision Maker?
- a Friend.
- …
Counter-Example(s):
- a Non-Cognitive Intelligent Agent, such as an Ant.
See: Background Knowledge, Cognitive Bias.

References

(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.