P234 — AIEP — Goal Activation Feasibility Gating Engine

Applicant: Neil Grassby Classification: Patent Application — Confidential Priority: Claims priority from GB2519711.2 filed 20 November 2025 Architecture Layer: AIEP Phase 2 Support Layer

Framework Context

[0001] This specification operates within an AIEP environment as defined in GB2519711.2 and GB2519798.9. The present specification defines a pre-activation feasibility gate for goal pursuit that prevents the system from committing compute resources to goals that are provably infeasible given current world state and available resources.

Field of the Invention

[0002] The present invention relates to goal feasibility assessment and resource gating for evidence-bound AI goal pursuit systems.

Background

[0003] Goal formation engines may generate candidate goals that are incompatible with current world state constraints or resource availability. Without a feasibility gate, the system may expend significant compute resources on planning and simulation for goals that cannot be achieved, reducing efficiency and increasing unnecessary resource consumption.

Summary of the Invention

[0004] The invention provides a Goal Activation Feasibility Gating Engine (GAFGE) that applies three sequential feasibility checks before a goal is activated for active pursuit: world state feasibility (confirms the desired goal state is reachable from the current CWSG state via known causal pathways); resource feasibility (confirms sufficient compute, query, and action budget is available); and governance clearance (confirms the goal and anticipated actions are within governance policy bounds).

[0005] Goals failing any check are returned to the goal formation engine with a failure annotation. Goals passing all checks are activated with an estimated feasibility confidence score.

ASCII Architecture

Goal Candidate (P210)
         |
         v
+------------------------------------------+
| Goal Activation Feasibility Gating Engine|
|   (GAFGE)                                |
|                                          |
|  1. World State Feasibility Check       |
|  2. Resource Feasibility Check (P213)   |
|  3. Governance Clearance Check (P215)   |
+-------------------+----------------------+
                    |
          all pass?
          |                 |
          v                 v
   Goal Activated     Goal Returned
   (confidence score) (failure annotation)

Detailed Description

[0006] World State Feasibility. The GAFGE queries the CWSG (P200) for the existence of causal pathways from the current state to the target state. If no causal pathway exists in the current graph, the goal is marked infeasible. The Hypothesis Simulation Engine (P204) may be invoked to assess whether plausible interventions could create a pathway.

[0007] Resource Feasibility. The Resource Allocation Engine (P213) is queried for available compute budget. The GAFGE estimates the compute cost of pursuing the goal using historical cost records for similar goals. If estimated cost exceeds available budget, the goal is deferred.

[0008] Governance Clearance. The Safety Constraint and Governance Engine (P215) is queried with the goal specification and anticipated actions. Goals or anticipated actions violating governance constraints are rejected.

[0009] Confidence Score. Goals passing all checks receive a feasibility confidence score indicating the estimated probability of goal achievement given current world state and resources. This score is used by the Goal Arbitration Engine (P223) to prioritise active goals.

Technical Effect

[0010] The invention provides sequential, evidence-grounded feasibility gating for AI goal activation that prevents resource commitment to unachievable or policy-prohibited objectives. By evaluating world state reachability before resource and governance checks, the engine eliminates goals that are factually impossible before incurring the cost of downstream evaluation. By returning structured failure records with annotated failure reasons, the engine enables the Goal Formation Engine to generate better-informed goal candidates on the next cycle.

Claims

1. A computer-implemented method for goal activation feasibility gating, the method comprising: (a) receiving a goal candidate from the Goal Formation Engine and evaluating world state reachability by checking whether a causal pathway to the goal target state exists in the current CWSG; (b) if world state reachability is confirmed, querying the Resource Allocation Engine for available compute budget and estimating goal pursuit cost from historical cost records for similar goals; (c) if resource feasibility is confirmed, querying the Safety Constraint and Governance Engine with the goal specification and anticipated actions; (d) assigning a feasibility confidence score to goals passing all checks, estimating the probability of goal achievement given current world state and resources; and (e) returning goals failing any check to the Goal Formation Engine with an annotated failure record specifying the failed check and reason.

2. The method of claim 1, wherein the world state reachability check applies causal pathway analysis to the CWSG, returning the shortest available causal path length as part of the feasibility assessment.

3. The method of claim 1, wherein resource feasibility evaluation uses historical cost records for goal types with similar CWSG entity scope and action sequence length.

4. The method of claim 1, wherein goals rejected at the governance clearance check are not retried within the same reasoning session, preventing governance rule circumvention through repeated resubmission.

5. The method of claim 1, wherein feasibility confidence scores are forwarded to the Goal Arbitration Engine as a priority input, enabling arbitration to prefer goals with higher estimated achievement probability.

6. A Goal Activation Feasibility Gating Engine comprising: one or more processors; memory storing a CWSG reachability evaluator, cost estimation model, and failure record buffer; wherein the processors are configured to execute the method of claim 1.

7. A non-transitory computer-readable medium storing instructions that, when executed by a processor, implement the method of claim 1.

Abstract

A goal activation feasibility gating engine for evidence-bound artificial intelligence applies three sequential feasibility checks before activating a goal candidate: world state reachability through CWSG causal pathway analysis, resource budget sufficiency against historical cost estimates, and governance clearance from the Safety Constraint Engine. Goals passing all checks receive a feasibility confidence score; goals failing are returned with structured failure annotations. Only feasibility-confirmed goals are admitted to the active goal hierarchy.