agent-properties-map

name	agent-properties-map
description	Maps simulation agent properties to text-grounded situations and board contexts, including explicit non-relevance conditions.

Agent Properties Map Skill

Purpose

Use this skill to identify which agent properties are active in the current model discussion and where they appear.

Scope

• Primary source: index.html written argument and section structure.
• Active boards for this skill: Opportunity, Resource, Knowledge, Sequence, Command.
• Out of current domain scope: Competition, Democracy, Hierarchy, Market, Reputation, Roles.
• Always out of scope for organizational analysis: Planets.
• Behavior logic source of truth: scripts/Entities/Pawn.ts and scripts/Helper/Decision/Case.ts.

Property Catalog

1) Discovery under uncertainty

• Property: agents search with bounded perception and partial knowledge.
• Present situations:
  • early opportunity acquisition where actors search independently.
  • pseudo-random walk plus finite acquisition range.
• Boards where relevant:
  • trial-canvas-0
  • trial-canvas
  • trial-canvas-2
• Not relevant when:
  • opportunities are already known and actors route directly from shared memory.
  • scenario focus is direct user delegation (command) instead of autonomous search.

2) Communication and shared-goal acceleration

• Property: communication reduces duplicated search and shortens lag for slowest members.
• Present situations:
  • shift from isolated actors to communicating organization.
  • horizontal command structure with shared goal.
• Boards where relevant:
  • trial-canvas-2
  • knowledge-reproduction-canvas-2
  • knowledge-reproduction-canvas-3
• Not relevant when:
  • communication channels are intentionally disabled.
  • single-actor baseline is used only to measure independent search.

3) Need pressure and expiration

• Property: agents expire when needs are unmet; survival pressure shapes behavior.
• Present situations:
  • resource scarcity and hunger thresholds.
  • unmet needs leading to actor exit.
• Boards where relevant:
  • resource-canvas-1
  • resource-canvas-2
  • resource-canvas-3
  • sequence-canvas-2
  • sequence-canvas-3
• Not relevant when:
  • scenario isolates discovery/communication without subsistence constraints.
  • actor lifetime is being studied separately from hunger pressure.

4) Pooling and mutual aid

• Property: agents share surplus with organizational peers lacking resources.
• Present situations:
  • transition from competitive extraction to sharing.
  • threshold-governed giving/request behavior.
• Boards where relevant:
  • resource-canvas-3
  • sequence-canvas-3
• Not relevant when:
  • no transferable surplus exists.
  • no organization relation is defined among actors.

5) Turnover and institutional memory

• Property: organizations retain function by reproducing knowledge across member turnover.
• Present situations:
  • natural expiration plus intake of new members.
  • diffusion speed vs turnover rate tradeoff.
• Boards where relevant:
  • knowledge-reproduction-canvas-1
  • knowledge-reproduction-canvas-2
  • knowledge-reproduction-canvas-3
• Not relevant when:
  • static population is assumed.
  • analysis ignores onboarding and retention dynamics.

6) Information degradation and poisoned knowledge

• Property: stale or corrupted communication can spread and become self-reinforcing.
• Present situations:
  • expired opportunities still communicated.
  • noisy transmission corrupts valid targets.
  • dense organizations can amplify wrong information.
• Boards where relevant:
  • knowledge-reproduction-canvas-4
  • knowledge-reproduction-canvas-5
• Not relevant when:
  • communication is modeled as lossless and opportunities are stable.
  • network density effects are not part of the question.

7) Coordination complexity in multi-step work

• Property: task chains create handoff overhead and bottlenecks.
• Present situations:
  • sequential dependencies across opportunities.
  • weak group advantage under poor coordination.
• Boards where relevant:
  • sequence-canvas-1
  • sequence-canvas-2
  • sequence-canvas-3
• Not relevant when:
  • work is single-step with no prerequisites.
  • analysis is limited to pure exploration.

8) Delegation and constrained autonomy

• Property: command structures trade local autonomy for planned coordination.
• Present situations:
  • explicit delegation and compartmentalization.
  • user-directed assignment and movement.
• Boards where relevant:
  • command-canvas-1
• Not relevant when:
  • model objective is emergent behavior from decentralized local rules.

9) Layered behavior-tree control policy

• Property: agent behavior emerges from a fixed per-frame stack of behavior trees (communication, survival, search, sharing, feeding, planning, movement).
• Present situations:
  • decisions are reset and executed each frame in constructor-defined order.
  • movement is gated by activity, receiving state, and target proximity.
• Boards where relevant:
  • trial-canvas
  • trial-canvas-2
  • resource-canvas-2
  • resource-canvas-3
  • knowledge-reproduction-canvas-4
  • knowledge-reproduction-canvas-5
  • sequence-canvas-1
  • sequence-canvas-2
  • sequence-canvas-3
  • command-canvas-1
• Not relevant when:
  • question is purely about static prose framing with no runtime behavior.
  • canvas does not instantiate pawn decision logic.

10) Communication and noise in BT signaling

• Property: coordination signal quality is mediated by BT nodes handling notification, noisy transfer, and potential locations.
• Present situations:
  • stale or noisy information creates plausible but wrong target pursuit.
  • density can amplify propagation of low-quality information.
• Boards where relevant:
  • knowledge-reproduction-canvas-4
  • knowledge-reproduction-canvas-5
  • trial-canvas-2
• Not relevant when:
  • communication is intentionally disabled.
  • environment is configured as fully stable and noiseless.

11) Survival-task coupling in BT policy

• Property: feeding, sharing, and task execution are coupled through BT guard and selector logic.
• Present situations:
  • hunger pressure can redirect tasks.
  • sharing thresholds alter support behavior and downstream completion.
• Boards where relevant:
  • resource-canvas-2
  • resource-canvas-3
  • sequence-canvas-2
  • sequence-canvas-3
• Not relevant when:
  • actors do not consume resources.
  • scenario omits task prerequisites and transfer dynamics.

12) Division of labour vs autonomy

• Property: tighter coordination and delegated control improve coherence but reduce local discretion.
• Method lenses:
  • VSM: System 3 control vs System 1 local adaptation.
  • DDD: strict boundaries/invariants vs local decision speed.
  • TPS: standardized work vs operator initiative.
  • Scrum: sprint commitment vs emergent reprioritization.
• Boards where relevant:
  • command-canvas-1
  • sequence-canvas-2
  • sequence-canvas-3
• Not relevant when:
  • only one actor exists.
  • no delegation or shared task structure is modeled.

13) Specialization vs flexibility

• Property: role/task specialization increases efficiency in known flows but can reduce resilience under change.
• Method lenses:
  • VSM: specialized operational channels vs adaptive recombination.
  • DDD: narrow context ownership vs cross-context agility.
  • TPS: handoff optimization vs queue/coordination overhead.
  • Scrum: specialist depth vs swarm capacity.
• Boards where relevant:
  • sequence-canvas-1
  • sequence-canvas-2
  • sequence-canvas-3
  • resource-canvas-2
  • resource-canvas-3
• Not relevant when:
  • tasks are one-step and interchangeable.
  • no prerequisites or handoffs exist.

14) Organizational vision vs local optimization

• Property: local decisions are beneficial only when aligned with shared purpose and policy.
• Method lenses:
  • VSM: System 5 identity/policy coherence.
  • DDD: ubiquitous language and core-domain alignment.
  • TPS: true-north orientation over local metric gaming.
  • Scrum: product goal alignment over ticket throughput.
• Boards where relevant:
  • command-canvas-1
  • knowledge-reproduction-canvas-2
  • knowledge-reproduction-canvas-4
  • knowledge-reproduction-canvas-5
• Not relevant when:
  • scenario objective is purely mechanical tuning with no policy claim.

15) Stability vs flexibility in learning loops

• Property: reducing variability improves predictability, while faster adaptation improves disturbance response.
• Method lenses:
  • VSM: System 2/3 dampening vs System 4 exploration.
  • DDD: invariant stability vs exploratory model evolution.
  • TPS: jidoka/feedback loops vs uninterrupted flow.
  • Scrum: inspect-adapt cadence vs plan stability.
• Boards where relevant:
  • knowledge-reproduction-canvas-4
  • knowledge-reproduction-canvas-5
  • resource-canvas-2
  • resource-canvas-3
• Not relevant when:
  • environment is static and noiseless.
  • no turnover, scarcity, or communication disturbances are modeled.

Exclusion Rule

When asked about Competition, Democracy, Hierarchy, Market, Reputation, or Roles:

• mark them as deferred boards,
• do not use them to infer current domain properties,
• only mention them as explicitly out of scope.

Output Contract

When using this skill, produce:

• property name,
• present or absent decision,
• evidence situation from index.html narrative,
• behavior-tree layer impact (if any),
• tension axis impact (if any),
• relevant board IDs,
• non-relevance conditions.