Architecture of Mind from functionality POV

Mind architecture

Perception

• Since birth, cognitive model develops continuously from information is gathered from environment in recurrent process.
• Information perception involves below co-occurring functions:

  Emotions:

• Realtime emotional response to incoming data/experiences.

  Cognitive biases:

• Full cognitive bias codex here. Below is attempt to merge most of them into few classes.
• Sampling biases/data biases:
  • Perception of specific event, information is supported by the existing contextual information which may not be accurate sampling of actual reality leading to skewed perception.
  • Information/perception about self is primarily driven by environmental/social feedback which can be skewed leading to distorted self-perception as does the prolonged thinking about either “positive” or “negative” points.
  • Various personal experiences including emotional, acts as data to allow empathising with respective context. Absence of contextual experiences may create empathy gap.
• Association biases:
  • Association between information/data is mainly driven by semantic meaning but prone to malformation if reinforced by environment.
  • Even if existing information is a good sample, the sample actually to used for perception, decision-making maybe be skewed due to incoming information.
  • Within context, recently learned or frequently accessed/reinforced information is likely to influence thought process regardless of relevance.
  • If information is emotionally stimulating, its association tend to influence decision-making/conclusion and memory retrieval WRT emotion and its valence.
• Identity biases:
  • Prioritising self group affiliation over other identities. Tendency to accept and propagate information within identity.
  • Groupthink, herd behaviour, hierarchy bias.
  • Identity biases coupled with sampling bias influences perceived norm of various identity variables, cultural beliefs and practices.
  • Coupled with association bias leads to identity stereotyping.

Reward system

Learned information

• Information learned in a specific iteration can be used to analyze incoming information in subsequent iterations. Refer to subdiagram below.
• Capable of learning and increase awareness about evolutionary drives– emotions, reward system, biases– and possibly reduce their influence while critical thinking.

Recurrent usage of learned info

Contemplating over existing data

• As seen in C1, contemplating over existing memories and data will lead to simi response from evolutionary components C2. In this is case, critical thinking can be more effective due to absence of environmental constraints.