Goal System in Kwasa-Kwasa

Overview

The Goal System is a fundamental component of Kwasa-Kwasa’s metacognitive orchestration that enables writers to define, track, and achieve specific writing objectives. Unlike traditional writing tools that focus on mechanics, the Goal System understands intent and guides the writing process toward desired outcomes.

Core Concepts

What is a Goal?

A Goal in Kwasa-Kwasa is a computational representation of a writing intention that includes:

• Objective: What you want to achieve
• Success Criteria: How to measure achievement
• Context: Domain and audience considerations
• Progress Tracking: Current state toward completion
• Adaptive Guidance: Dynamic suggestions based on progress

Goal Architecture

// Goal structure
struct Goal {
    id: String,
    description: String,
    success_threshold: f64,        // 0.0 to 1.0
    current_progress: f64,         // 0.0 to 1.0
    keywords: Array<String>,
    domain: String,
    audience: String,
    priority: Priority,            // Low, Medium, High, Critical
    created_at: Timestamp,
    deadline: Option<Timestamp>,
    sub_goals: Array<Goal>,
    metrics: GoalMetrics,
    status: GoalStatus            // Active, Paused, Completed, Failed
}

Goal Creation and Definition

Basic Goal Creation

// Simple goal creation
item goal = Goal.new("Write a clear technical tutorial", 0.8)

// Detailed goal creation
item tutorial_goal = Goal.new("Create beginner-friendly machine learning tutorial") {
    success_threshold: 0.85,
    keywords: ["tutorial", "beginner", "machine learning", "step-by-step"],
    domain: "education",
    audience: "programming beginners",
    priority: Priority.High,
    deadline: "2024-01-15"
}

Goal Categories

Writing Quality Goals

item clarity_goal = Goal.new("Ensure text clarity for general audience") {
    success_threshold: 0.7,
    metrics: {
        readability_score: 65,     // Minimum Flesch-Kincaid score
        jargon_density: 0.1,       // Maximum technical terms per 100 words
        explanation_coverage: 0.9   // Percentage of technical terms explained
    }
}

item engagement_goal = Goal.new("Create engaging and compelling content") {
    success_threshold: 0.75,
    metrics: {
        attention_retention: 0.8,   // Predicted reader attention span
        emotional_resonance: 0.6,   // Sentiment and engagement scores
        narrative_flow: 0.7         // Story progression quality
    }
}

Content Structure Goals

item organization_goal = Goal.new("Maintain logical content organization") {
    success_threshold: 0.8,
    metrics: {
        coherence_score: 0.75,      // Inter-paragraph logical flow
        transition_quality: 0.7,    // Quality of connecting phrases
        hierarchy_clarity: 0.8      // Clear section/subsection structure
    }
}

item completeness_goal = Goal.new("Cover all required topics comprehensively") {
    success_threshold: 0.9,
    keywords: ["introduction", "methodology", "results", "conclusion"],
    metrics: {
        topic_coverage: 0.95,       // Percentage of required topics covered
        depth_adequacy: 0.8,        // Sufficient detail for each topic
        balance_score: 0.7          // Even distribution of content
    }
}

Domain-Specific Goals

item academic_goal = Goal.new("Meet academic writing standards") {
    success_threshold: 0.85,
    domain: "academic",
    metrics: {
        citation_density: 0.15,     // Citations per paragraph
        formality_level: 0.8,       // Academic tone consistency
        evidence_support: 0.9       // Claims backed by evidence
    }
}

item technical_goal = Goal.new("Create accurate technical documentation") {
    success_threshold: 0.9,
    domain: "technical",
    metrics: {
        accuracy_score: 0.95,       // Factual correctness
        completeness: 0.85,         // All necessary details included
        reproducibility: 0.9        // Others can follow instructions
    }
}

Goal Tracking and Progress Evaluation

Automatic Progress Tracking

// Goals automatically track progress as you write
funxn track_progress(goal: Goal, text: TextUnit) -> ProgressUpdate:
    item progress = goal.evaluate_progress(text)
    
    // Update goal metrics
    goal.current_progress = progress.overall_score
    goal.last_updated = now()
    
    // Identify areas needing attention
    item gaps = progress.identify_gaps()
    
    return ProgressUpdate {
        score: progress.overall_score,
        improvements: gaps,
        suggestions: generate_suggestions(goal, gaps),
        next_actions: prioritize_actions(gaps)
    }

Progress Evaluation Metrics

// Real-time progress evaluation
considering goal in active_goals:
    item current_score = goal.evaluate_against(current_text)
    
    given current_score >= goal.success_threshold:
        goal.mark_completed()
        trigger_celebration()
    
    given current_score < goal.success_threshold * 0.5:
        suggest_major_revision(goal)
    
    given stagnation_detected(goal):
        offer_alternative_approaches(goal)

Goal Integration with Text Processing

Goal-Aware Text Operations

// Operations can consider active goals
funxn goal_aware_enhancement(text: TextUnit, goals: Array<Goal>) -> TextUnit:
    item enhanced = text
    
    considering goal in goals where goal.is_active():
        given goal.requires_clarity() && readability_score(enhanced) < goal.metrics.readability_score:
            enhanced = simplify_sentences(enhanced)
        
        given goal.requires_formality() && formality_level(enhanced) < goal.metrics.formality_level:
            enhanced = formalize(enhanced, goal.domain)
        
        given goal.requires_citations() && citation_density(enhanced) < goal.metrics.citation_density:
            enhanced = suggest_citations(enhanced, goal.domain)
    
    return enhanced

Proposition-Goal Integration

// Goals can drive proposition evaluation
proposition ContentQuality:
    motion Clarity("Content should be clear to target audience")
    motion Completeness("All required topics should be covered")
    motion Accuracy("Information should be factually correct")
    
    // Evaluate against active goals
    considering goal in active_goals:
        within text:
            given goal.targets_clarity() && readability_score() >= goal.metrics.readability_score:
                support Clarity with_weight(goal.priority.weight())
            
            given goal.targets_completeness() && topic_coverage() >= goal.metrics.topic_coverage:
                support Completeness with_weight(goal.priority.weight())
            
            given goal.targets_accuracy() && fact_check_score() >= goal.metrics.accuracy_score:
                support Accuracy with_weight(goal.priority.weight())

Hierarchical Goals and Sub-Goals

Goal Decomposition

// Break complex goals into manageable sub-goals
item dissertation_goal = Goal.new("Complete PhD dissertation") {
    success_threshold: 0.9,
    deadline: "2024-06-01"
}

// Add sub-goals
dissertation_goal.add_sub_goal(Goal.new("Literature review chapter") {
    success_threshold: 0.85,
    deadline: "2024-02-15",
    metrics: {
        source_count: 150,
        synthesis_quality: 0.8,
        critical_analysis: 0.75
    }
})

dissertation_goal.add_sub_goal(Goal.new("Methodology chapter") {
    success_threshold: 0.9,
    deadline: "2024-03-15",
    metrics: {
        reproducibility: 0.95,
        statistical_rigor: 0.9,
        ethical_compliance: 1.0
    }
})

dissertation_goal.add_sub_goal(Goal.new("Results analysis") {
    success_threshold: 0.85,
    deadline: "2024-04-30",
    metrics: {
        data_completeness: 0.95,
        visualization_quality: 0.8,
        statistical_significance: 0.9
    }
})

Sub-Goal Dependencies

// Define dependencies between sub-goals
dissertation_goal.define_dependencies([
    Dependency("Literature review", "precedes", "Methodology"),
    Dependency("Methodology", "precedes", "Results analysis"),
    Dependency("Results analysis", "precedes", "Discussion"),
    Dependency("All chapters", "required_for", "Final draft")
])

// Automatic dependency checking
funxn check_dependencies(goal: Goal) -> DependencyStatus:
    considering sub_goal in goal.sub_goals:
        item dependencies = goal.get_dependencies(sub_goal)
        
        considering dependency in dependencies:
            given not dependency.is_satisfied():
                return DependencyStatus.Blocked(dependency)
    
    return DependencyStatus.Ready

Adaptive Goal Management

Dynamic Goal Adjustment

// Goals can adapt based on progress and context
funxn adaptive_goal_management(goals: Array<Goal>, context: WritingContext) -> Array<Goal>:
    item adapted_goals = goals
    
    considering goal in adapted_goals:
        // Adjust based on progress velocity
        item velocity = goal.calculate_velocity()
        given velocity < 0.5 && goal.deadline.is_approaching():
            goal.suggest_scope_reduction()
            goal.increase_support_level()
        
        // Adjust based on domain expertise
        given context.user_expertise < goal.required_expertise:
            goal.add_learning_objectives()
            goal.increase_explanation_requirements()
        
        // Adjust based on audience feedback
        given has_audience_feedback(goal):
            item feedback = get_audience_feedback(goal)
            goal.adapt_to_feedback(feedback)
    
    return adapted_goals

Goal Conflict Resolution

// Handle conflicting goals automatically
funxn resolve_goal_conflicts(goals: Array<Goal>) -> ConflictResolution:
    item conflicts = detect_conflicts(goals)
    
    considering conflict in conflicts:
        given conflict.type == ConflictType.Priority:
            // Resolve by priority and deadline
            item resolution = resolve_by_priority(conflict.goals)
            
        given conflict.type == ConflictType.Resource:
            // Resolve by resource optimization
            item resolution = optimize_resource_allocation(conflict.goals)
            
        given conflict.type == ConflictType.Logical:
            // Resolve by logical consistency
            item resolution = ensure_logical_consistency(conflict.goals)
    
    return ConflictResolution(resolutions)

Goal-Driven Writing Assistance

Intelligent Suggestions

// Provide context-aware suggestions based on goals
funxn generate_goal_suggestions(text: TextUnit, goals: Array<Goal>) -> Array<Suggestion>:
    item suggestions = []
    
    considering goal in goals where goal.needs_attention():
        item gap_analysis = goal.analyze_gaps(text)
        
        given gap_analysis.has_clarity_gap():
            suggestions.add(Suggestion.ClarityImprovement {
                target: gap_analysis.unclear_sections,
                action: "Simplify complex sentences",
                expected_impact: 0.15
            })
        
        given gap_analysis.has_structure_gap():
            suggestions.add(Suggestion.StructureImprovement {
                target: gap_analysis.disorganized_sections,
                action: "Add transitional phrases",
                expected_impact: 0.12
            })
        
        given gap_analysis.has_completeness_gap():
            suggestions.add(Suggestion.ContentAddition {
                target: gap_analysis.missing_topics,
                action: "Add section on {topic}",
                expected_impact: 0.2
            })
    
    return prioritize_suggestions(suggestions)

Real-Time Guidance

// Provide real-time writing guidance
within active_writing_session:
    item current_goals = get_active_goals()
    item live_text = get_current_document()
    
    // Continuous evaluation
    every 30_seconds:
        item progress_update = evaluate_progress(current_goals, live_text)
        
        given progress_update.has_immediate_suggestions():
            display_inline_suggestions(progress_update.suggestions)
        
        given progress_update.indicates_major_issue():
            trigger_intervention_dialog(progress_update.issues)
        
        given progress_update.shows_significant_improvement():
            provide_positive_reinforcement(progress_update.achievements)

Advanced Goal Features

Machine Learning Integration

// Goals learn from user behavior and outcomes
struct AdaptiveGoal extends Goal {
    learning_model: GoalLearningModel,
    success_patterns: Array<Pattern>,
    failure_patterns: Array<Pattern>,
    user_preferences: UserPreferences
}

funxn learn_from_outcomes(goal: AdaptiveGoal, outcome: GoalOutcome):
    goal.learning_model.update(outcome)
    
    given outcome.was_successful():
        goal.success_patterns.add(outcome.extract_patterns())
        goal.adjust_thresholds_up()
    
    given outcome.was_failure():
        goal.failure_patterns.add(outcome.extract_patterns())
        goal.adjust_support_strategies()
    
    goal.update_recommendations()

Collaborative Goals

// Goals can be shared and collaborated on
struct CollaborativeGoal extends Goal {
    collaborators: Array<User>,
    shared_metrics: SharedMetrics,
    coordination_strategy: CoordinationStrategy
}

funxn coordinate_collaborative_goal(goal: CollaborativeGoal):
    considering collaborator in goal.collaborators:
        item individual_progress = goal.evaluate_collaborator_progress(collaborator)
        item team_progress = goal.evaluate_team_progress()
        
        given team_progress.needs_coordination():
            suggest_coordination_meeting(goal.collaborators)
            distribute_updated_guidelines(goal)
        
        given individual_progress.shows_struggling_collaborator():
            offer_additional_support(collaborator, goal)

Goal Analytics and Reporting

// Comprehensive goal analytics
funxn generate_goal_analytics(goals: Array<Goal>, timeframe: TimeRange) -> GoalAnalytics:
    return GoalAnalytics {
        completion_rate: calculate_completion_rate(goals, timeframe),
        average_time_to_completion: calculate_avg_completion_time(goals),
        success_factors: identify_success_factors(goals),
        improvement_areas: identify_improvement_areas(goals),
        productivity_trends: analyze_productivity_trends(goals, timeframe),
        goal_complexity_analysis: analyze_complexity_vs_success(goals),
        recommendation_effectiveness: evaluate_recommendations(goals)
    }

Integration with Metacognitive Orchestrator

Orchestrator-Goal Communication

// Goals communicate with the metacognitive orchestrator
interface GoalOrchestration {
    funxn register_goal(goal: Goal) -> GoalRegistration
    funxn update_goal_progress(goal_id: String, progress: Progress) -> Unit
    funxn request_intervention(goal: Goal, issue: Issue) -> Intervention
    funxn coordinate_multiple_goals(goals: Array<Goal>) -> CoordinationPlan
}

// Implementation in the orchestrator
impl MetacognitiveOrchestrator for GoalOrchestration {
    funxn process_goal_requests():
        considering goal in active_goals:
            item status = goal.get_current_status()
            
            given status.needs_attention():
                item intervention = design_intervention(goal, status)
                execute_intervention(intervention)
            
            given status.conflicts_with_others():
                item resolution = resolve_goal_conflicts([goal] + related_goals)
                apply_resolution(resolution)
}

This comprehensive goal system enables writers to define clear objectives, track progress automatically, receive intelligent guidance, and achieve better writing outcomes through systematic goal management integrated with Kwasa-Kwasa’s metacognitive capabilities.