(Tentative)

Function Reference Model Input/Output Data
SubAIMs JSON Metadata Profiles

Function

The Personality Alignment AIM (PGM-PAL) receives semantic cues, expressive guidance, and User State signals from Prompt Creation, User State Refinement, and Basic Knowledge. Its primary function is to adapt A-User’s responses to reflect a coherent, context-sensitive Personality profile that aligns with the User’s expressive preferences and Personal Status.

Internally, PGM-PAL may perform the following operations:

  • Cue Interpretation: Parses semantic and expressive signals to identify tone, pacing, and stylistic expectations.
  • User State Integration: Incorporates inferred Personal Status and motivational indicators to modulate Personality framing.
  • Profile Shaping: Adjusts the A-User’s Personality Profile—including tone, style, rhythm, and expressive stance based on interaction context and User preferences.
  • Expressive Modulation: Applies alignment parameters to candidate responses, ensuring expressive coherence and emotional alignment.
  • Status Synchronisation: Ensures that the A-User’s communicative posture reflects the estimated User Personal Status.
  • Output Dispatch: Produces a Personality Modulation Status for A-User Control and a modulated response stream for Rendering.

The resulting outputs ensure that A-User communicates in a way that is emotionally aligned, stylistically consistent, and reflective of the User’s Personal Status and interaction preferences – supporting expressive harmony and the gradual formation of conversational trust between User and A-User across interaction episodes.

Reference Model

Figure 10 gives the Reference Model of the Personality Alignment (PGM-PAL) AIM.

Figure 10 – Reference Model of Personality Alignment (PGM-PAL)

The functions performed by the Personality Alignment (PGM-PAL) AIM are

Function Description
Profile Selection Chooses or synthesises a Personality Profile based on Expressive State Guide and user context.
Expressive Framing Modulates tone, style, and pacing of responses using PA-Prompt Plan.
Semantic Packaging Converts Adapted Response into PA-Input JSON for traceable handoff.
Prompt Planning Produces PA-Prompt Plan for BKN query generation.
Response Rendering Shapes final output to reflect selected personality stance.
Personal Status Update Updates A-User Personal Status for A-User Rendering.

Input/Output Data

Table 19 gives Input and Output Data of Personality Alignment (PGM-PAL) AIM.

Table 19 – Input and Output Data of Personality Alignment (PGM-PAL) AIM

Input Description
Personality Contexr Guide Domain information from Domain Access.
Expressive State Guide User State information from User State Refinement.
Refined Response The response of the Basic Knowledge.
Personality Alignment Directive Command to modulate expression or reconfigure Personality Profile.
Output Description
A-User Personal Status The synthetic Personal Status created by the A-User.
PA-Prompt Prompt to Basic Knowledge.
Personality Alignment Status Expressive alignment, persona framing, and modulation constraints from PGM-AUC.

SubAIMs

No SubAIMs.

JSON Metadata

https://schemas.mpai.community/PGM1/V1.0/AIMs/PersonalityAlignment.json

Profiles

No Profiles.