project_state: metadata: project_name: Foundational Information Dynamics project_code: FID project_type: Research & Development / Theoretical Physics primary_methodology: PBRF OMF v2.0 (Principle-Based Layered Approach) current_status: Executing schema_version_used: v4.0 last_modified_timestamp: 2025-05-10T18:40:00Z # Example actual timestamp exploration_history: # ... (content as in previous state) ... charter: # ... (content as in previous state) ... plan: version: '1.1' status: Formalized wbs: # ... (Tasks 0.0 through 2.3 status: Completed, actual_durations filled) ... - id: '2.4' description: 'Comparative Development & Initial Evaluation of L2 Formalism Candidates (e.g., Stream A: Graph/Network Dynamics; Stream B: Geometric Algebra).' parent_id: '2.0' dependencies: ['2.3'] definition_of_done: "Initial models for at least two distinct L2 candidate streams developed. Comparative evaluation criteria defined and applied. Preliminary assessment of each stream's viability documented. Recommendation for L2 path forward prepared." is_summary_task: true is_milestone: false produces_human_deliverable: true status: In Progress # Parent task of 2.4.1 assigned_resources: ['AI-Development', 'AI-Research', 'User-Guidance'] estimated_duration: 'Significant research effort; multiple sprints per stream.' - id: '2.4.1' description: 'Develop L2 Candidate Stream A: Graph/Network Dynamics Model' parent_id: '2.4' dependencies: ['2.3'] definition_of_done: "Working prototype or detailed specification of the Graph/Network model. Key L0/L1 concepts mapped. Initial tests for simple pattern stability performed. Documented." is_summary_task: false is_milestone: false produces_human_deliverable: true status: Completed # Updated assigned_resources: ['AI-Development', 'AI-Research'] estimated_duration: 'Multi-sprint' ai_skill_to_invoke: "DraftTextualContent" specialized_process_inputs: { content_topic_or_prompt: "Specification for L2 Graph/Network Model for FID", output_filename_base: "FID_L2_GraphNetModel_Spec_v1.0", source_material_references: ["FID_L0_Axioms_v1.0", "FID_L1_Conceptual_Framework (all docs)", "FID_L2_Requirements_v1.0", "PBRF DCIN NBM (from historical synthesis)"] } actual_duration: "2025-05-10T18:40:00Z" # Example - id: '2.4.2' description: 'Develop L2 Candidate Stream B: Geometric Algebra Model' parent_id: '2.4' dependencies: ['2.3'] definition_of_done: "Working prototype or detailed specification of the GA-based model. Key L0/L1 concepts mapped. Initial exploration of dynamic rules for emergence. Documented." is_summary_task: false is_milestone: false produces_human_deliverable: true status: Not Started # Next task assigned_resources: ['AI-Development', 'AI-Research'] estimated_duration: 'Multi-sprint' ai_skill_to_invoke: "DraftTextualContent" specialized_process_inputs: { content_topic_or_prompt: "Specification for L2 Geometric Algebra Model", output_filename_base: "FID_L2_GAModel_Spec_v1.0"} # ... (rest of WBS as in previous state, including 2.4.3, 2.4.4, 2.5 and Phases 3,4,5) ... task_sequencing_notes: Work proceeds sequentially through Phases (0-5). Tasks within phases have specified dependencies. Validation milestones gate progress. Task 2.4 now involves comparative development with sub-tasks. resource_plan_notes: Primary resource is User-AI collaboration. Computational resources for L3 simulations. Access to historical PBRF/EQR/Infomatics detailed docs if L2/L3 builds directly on them. Code execution capabilities of AI now confirmed. quality_plan_notes: Adherence to PBRF OMF v2.0, FID KAs (StyleGuide, Glossary, SuccessMetrics). Layered validation against PBRF Success Criteria. PEAP for novel predictions. Rigorous self-critique (Meta-RefineOutput) by AI for key generated artifacts, including code. risk_register: # ... (content as in previous state) ... change_management_process: Significant changes to scope, goals, or methodology require explicit user approval and documentation update (e.g., Charter/Plan revision). Decisions made during sprints logged in `project_state.logs.decisions`. methodology_specific_planning: Governed by PBRF OMF v2.0, emphasizing layered development, principle-first derivation, explicit success criteria (PBRF Success Criteria), fail-fast/pivot cycles, and PEAP for novel predictions. internal_review_summary: "Plan (v1.1) reflects comparative L2 formalism development under Task 2.4. Task 2.4.1 completed." # Updated flagged_critical_issues: [] execution: tasks: # ... (FID_exec_0.1_001 to FID_exec_2.3_001 as in previous state, all 'Completed') ... - task_execution_id: FID_exec_2.4.1_001 task_id_from_plan: '2.4.1' status: Completed inputs_used: - type: project_state_path reference: project_state.plan.wbs # for task definition - type: ai_skill_input reference: specialized_process_inputs from WBS task 2.4.1 - type: document_content reference: "FID_L0_Axioms_v1.0 content" - type: document_content reference: "FID_L1_Conceptual_Framework content" - type: document_content reference: "FID_L2_Requirements_v1.0 content" - type: knowledge_base_topic reference: "PBRF DCIN NBM (from historical synthesis)" proposed_approach: "Invoke DraftTextualContent skill to generate specification for L2 Graph/Network Model, including illustrative code snippets for initial tests, drawing on L0/L1, L2 Reqs, and PBRF DCIN NBM context." execution_log: "Invoked DraftTextualContent skill. Skill generated draft of FID_L2_GraphNetModel_Spec_v1.0, including code snippets. Internal Meta-RefineOutput applied by skill. Output presented to user and accepted." specialized_process_used: null ai_skill_invoked: "DraftTextualContent" output_data: type: "document_simple_text" content_reference: "FID_L2_GraphNetModel_Spec_v1.0" content_inline: | # Full content of FID_L2_GraphNetModel_Spec_v1.0 would be here # Foundational Information Dynamics (FID) - L2 Graph/Network Model Specification v1.0 ## 1. Introduction ... ## 5. Initial Tests (Illustrative Code Snippets Provided in Full Document): # ... # Illustrative Snippet 3 Concept (Simplified) # import networkx as nx # def initialize_graph_with_pattern(nodes, edges, pattern_nodes_states): ... # def apply_update_rules(graph_state, rules): ... # def check_pattern_persistence(graph_state, target_pattern_definition): ... # ... # current_graph = initial_graph # for step in range(MAX_STEPS): # new_graph = apply_update_rules(current_graph, FID_rules) # if not check_pattern_persistence(new_graph, target_pattern): # # print(f"Pattern lost at step {step+1}") # break # current_graph = new_graph # else: # # print(f"Pattern persisted for {MAX_STEPS} steps.") # ... (rest of the document) format: "markdown" internal_critique_summary: "DraftTextualContent skill executed with internal Meta-RefineOutput. Output (specification with code snippets) reviewed against task DoD; appears comprehensive and addresses initial stability test demonstration." quality_check_status: "User Reviewed - Accepted" provenance_data: generated_by_process_ref: "DraftTextualContent" source_inputs: - {type: "document_content", reference: "FID_L0_Axioms_v1.0 content"} - {type: "document_content", reference: "FID_L1_Conceptual_Framework content"} - {type: "document_content", reference: "FID_L2_Requirements_v1.0 content"} - {type: "knowledge_base_topic", reference: "PBRF DCIN NBM"} methodology_summary: "Generated L2 Graph/Network Model Specification by synthesizing constraints and inspirations. Included illustrative Python code snippets for demonstrating initial test concepts." actual_duration: "2025-05-10T18:40:00Z" monitoring_control: # ... (as in previous state, FID_perf_rev_001 is 'Completed') ... logs: # ... (decisions FID_DEC_001, FID_DEC_002 as in previous state) ... analysis_results: # ... (literature_reviews as in previous state, including FID_litrev_L2survey_001) ... knowledge_artifacts: # ... (content as in previous state) ... closure: {}