agents

-module(goal_oriented_planner).
-behaviour(gen_statem).

-export([start_link/0, start_link/1]).
-export([set_goal/2, plan_actions/1, execute_plan/1, monitor_progress/1,
         adapt_plan/2, add_constraint/2, remove_constraint/2, 
         get_plan_status/1, get_execution_report/1, pause_execution/1, resume_execution/1]).
-export([init/1, callback_mode/0, terminate/3, code_change/4]).
-export([idle/3, goal_analysis/3, action_planning/3, plan_optimization/3,
         execution_preparation/3, plan_execution/3, progress_monitoring/3,
         plan_adaptation/3, constraint_resolution/3, goal_achievement/3]).

-record(goal_specification, {
    id :: term(),
    description :: string(),
    type = achievement :: achievement | maintenance | avoidance,
    priority = medium :: low | medium | high | critical,
    deadline = undefined :: undefined | erlang:timestamp(),
    success_criteria = [] :: [term()],
    preconditions = [] :: [term()],
    constraints = [] :: [term()],
    resources_required = [] :: [term()],
    stakeholders = [] :: [term()],
    parent_goal = undefined :: undefined | term(),
    subgoals = [] :: [term()],
    status = pending :: pending | active | achieved | failed | abandoned
}).

-record(action_node, {
    id :: term(),
    name :: string(),
    type = sequential :: sequential | parallel | conditional | loop,
    preconditions = [] :: [term()],
    effects = [] :: [term()],
    cost = 1.0 :: float(),
    duration = 1 :: pos_integer(),
    resources = [] :: [term()],
    uncertainty = 0.0 :: float(),
    alternatives = [] :: [term()],
    dependencies = [] :: [term()],
    status = pending :: pending | executing | completed | failed | skipped
}).

-record(planning_data, {
    session_id :: term(),
    current_goal = undefined :: undefined | #goal_specification{},
    goal_hierarchy = [] :: [#goal_specification{}],
    action_plan = [] :: [#action_node{}],
    execution_context = #{} :: #{atom() => term()},
    planning_strategy = hierarchical :: hierarchical | reactive | hybrid,
    optimization_criteria = [time, cost, quality] :: [atom()],
    risk_tolerance = medium :: low | medium | high,
    resource_availability = #{} :: #{atom() => term()},
    environmental_state = #{} :: #{atom() => term()},
    constraint_network = [] :: [term()],
    contingency_plans = #{} :: #{term() => [#action_node{}]},
    execution_history = [] :: [term()],
    performance_metrics = #{} :: #{atom() => number()},
    adaptation_triggers = #{} :: #{atom() => term()},
    learning_model = #{} :: #{atom() => term()},
    planning_statistics = #{} :: #{atom() => term()},
    monitoring_interval = 1000 :: pos_integer(),
    execution_mode = step_by_step :: step_by_step | continuous | batch,
    observers = [] :: [pid()],
    start_time :: erlang:timestamp()
}).

start_link() ->
    gen_statem:start_link(?MODULE, [], []).

start_link(Options) ->
    gen_statem:start_link(?MODULE, Options, []).

set_goal(Pid, Goal) ->
    gen_statem:call(Pid, {set_goal, Goal}).

plan_actions(Pid) ->
    gen_statem:call(Pid, plan_actions).

execute_plan(Pid) ->
    gen_statem:call(Pid, execute_plan).

monitor_progress(Pid) ->
    gen_statem:call(Pid, monitor_progress).

adapt_plan(Pid, Adaptations) ->
    gen_statem:call(Pid, {adapt_plan, Adaptations}).

add_constraint(Pid, Constraint) ->
    gen_statem:call(Pid, {add_constraint, Constraint}).

remove_constraint(Pid, Constraint) ->
    gen_statem:call(Pid, {remove_constraint, Constraint}).

get_plan_status(Pid) ->
    gen_statem:call(Pid, get_plan_status).

get_execution_report(Pid) ->
    gen_statem:call(Pid, get_execution_report).

pause_execution(Pid) ->
    gen_statem:call(Pid, pause_execution).

resume_execution(Pid) ->
    gen_statem:call(Pid, resume_execution).

init(Options) ->
    Data = #planning_data{
        session_id = make_ref(),
        planning_strategy = proplists:get_value(strategy, Options, hierarchical),
        optimization_criteria = proplists:get_value(optimization, Options, [time, cost, quality]),
        risk_tolerance = proplists:get_value(risk_tolerance, Options, medium),
        monitoring_interval = proplists:get_value(monitoring_interval, Options, 1000),
        execution_mode = proplists:get_value(execution_mode, Options, step_by_step),
        start_time = erlang:timestamp(),
        resource_availability = initialize_resource_pool(Options),
        environmental_state = capture_environmental_state(),
        adaptation_triggers = initialize_adaptation_triggers(Options),
        learning_model = initialize_planning_learning_model(),
        planning_statistics = #{
            goals_planned => 0,
            plans_executed => 0,
            adaptations_made => 0,
            goals_achieved => 0,
            average_plan_quality => 0.0,
            planning_efficiency => 0.0
        }
    },
    {ok, idle, Data}.

callback_mode() -> [state_functions, state_enter].

idle(enter, _OldState, Data) ->
    {keep_state, Data};
idle({call, From}, {set_goal, Goal}, Data) ->
    GoalSpec = create_goal_specification(Goal),
    UpdatedData = Data#planning_data{current_goal = GoalSpec},
    {next_state, goal_analysis, UpdatedData, [{reply, From, {ok, GoalSpec#goal_specification.id}}]};
idle({call, From}, get_plan_status, Data) ->
    Status = compile_plan_status(Data),
    {keep_state, Data, [{reply, From, {ok, Status}}]};
idle(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

goal_analysis(enter, _OldState, Data) ->
    AnalysisData = conduct_goal_analysis(Data),
    UpdatedStats = increment_stat(goals_planned, Data#planning_data.planning_statistics),
    
    case validate_goal_feasibility(AnalysisData) of
        feasible ->
            {next_state, action_planning, AnalysisData#planning_data{planning_statistics = UpdatedStats}};
        {infeasible, Reason} ->
            FailedGoal = mark_goal_failed(Reason, AnalysisData),
            {next_state, idle, FailedGoal}
    end;
goal_analysis(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

action_planning(enter, _OldState, Data) ->
    PlanningData = generate_action_plan(Data),
    case validate_action_plan(PlanningData) of
        valid ->
            {next_state, plan_optimization, PlanningData};
        {invalid, Issues} ->
            RevisedData = revise_planning_approach(Issues, PlanningData),
            {keep_state, RevisedData}
    end;
action_planning({call, From}, plan_actions, Data) ->
    Plan = extract_action_plan(Data),
    {keep_state, Data, [{reply, From, {ok, Plan}}]};
action_planning(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

plan_optimization(enter, _OldState, Data) ->
    OptimizedData = optimize_action_plan(Data),
    RiskAssessment = assess_plan_risks(OptimizedData),
    
    case RiskAssessment of
        acceptable ->
            {next_state, execution_preparation, OptimizedData};
        {unacceptable, RiskFactors} ->
            MitigatedData = apply_risk_mitigation(RiskFactors, OptimizedData),
            {keep_state, MitigatedData}
    end;
plan_optimization(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

execution_preparation(enter, _OldState, Data) ->
    PreparedData = prepare_for_execution(Data),
    ContingencyData = develop_contingency_plans(PreparedData),
    
    case validate_execution_readiness(ContingencyData) of
        ready ->
            {next_state, plan_execution, ContingencyData};
        {not_ready, Requirements} ->
            CompletedData = fulfill_execution_requirements(Requirements, ContingencyData),
            {keep_state, CompletedData}
    end;
execution_preparation({call, From}, execute_plan, Data) ->
    {next_state, plan_execution, Data, [{reply, From, ok}]};
execution_preparation(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

plan_execution(enter, _OldState, Data) ->
    ExecutionData = initiate_plan_execution(Data),
    UpdatedStats = increment_stat(plans_executed, Data#planning_data.planning_statistics),
    
    case Data#planning_data.execution_mode of
        continuous ->
            {keep_state, ExecutionData#planning_data{planning_statistics = UpdatedStats}, 
             [{state_timeout, 0, continue_execution}]};
        step_by_step ->
            {keep_state, ExecutionData#planning_data{planning_statistics = UpdatedStats}, 
             [{state_timeout, 0, execute_next_step}]};
        batch ->
            {keep_state, ExecutionData#planning_data{planning_statistics = UpdatedStats}, 
             [{state_timeout, 0, execute_batch}]}
    end;
plan_execution(state_timeout, continue_execution, Data) ->
    case execute_continuous_actions(Data) of
        {completed, CompletedData} ->
            {next_state, goal_achievement, CompletedData};
        {in_progress, ProgressData} ->
            {next_state, progress_monitoring, ProgressData};
        {failed, FailureData} ->
            {next_state, plan_adaptation, FailureData};
        {blocked, BlockedData} ->
            {next_state, constraint_resolution, BlockedData}
    end;
plan_execution(state_timeout, execute_next_step, Data) ->
    case execute_single_step(Data) of
        {step_completed, StepData} ->
            {keep_state, StepData, [{state_timeout, 100, execute_next_step}]};
        {plan_completed, CompletedData} ->
            {next_state, goal_achievement, CompletedData};
        {step_failed, FailureData} ->
            {next_state, plan_adaptation, FailureData};
        {step_blocked, BlockedData} ->
            {next_state, constraint_resolution, BlockedData}
    end;
plan_execution(state_timeout, execute_batch, Data) ->
    case execute_action_batch(Data) of
        {batch_completed, BatchData} ->
            {next_state, progress_monitoring, BatchData};
        {batch_failed, FailureData} ->
            {next_state, plan_adaptation, FailureData}
    end;
plan_execution({call, From}, pause_execution, Data) ->
    PausedData = pause_plan_execution(Data),
    {keep_state, PausedData, [{reply, From, ok}]};
plan_execution(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

progress_monitoring(enter, _OldState, Data) ->
    MonitoringData = assess_execution_progress(Data),
    
    case evaluate_progress_status(MonitoringData) of
        on_track ->
            {next_state, plan_execution, MonitoringData};
        behind_schedule ->
            AdaptationData = trigger_schedule_adaptation(MonitoringData),
            {next_state, plan_adaptation, AdaptationData};
        goal_achieved ->
            {next_state, goal_achievement, MonitoringData};
        critical_deviation ->
            {next_state, plan_adaptation, MonitoringData}
    end;
progress_monitoring({call, From}, monitor_progress, Data) ->
    ProgressReport = generate_progress_report(Data),
    {keep_state, Data, [{reply, From, {ok, ProgressReport}}]};
progress_monitoring(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

plan_adaptation(enter, _OldState, Data) ->
    AdaptationData = analyze_adaptation_requirements(Data),
    
    case determine_adaptation_strategy(AdaptationData) of
        minor_adjustment ->
            AdjustedData = apply_minor_adjustments(AdaptationData),
            UpdatedStats = increment_stat(adaptations_made, AdjustedData#planning_data.planning_statistics),
            {next_state, plan_execution, AdjustedData#planning_data{planning_statistics = UpdatedStats}};
        major_replanning ->
            ReplanData = trigger_major_replanning(AdaptationData),
            {next_state, action_planning, ReplanData};
        goal_revision ->
            RevisedData = revise_goal_specification(AdaptationData),
            {next_state, goal_analysis, RevisedData}
    end;
plan_adaptation({call, From}, {adapt_plan, Adaptations}, Data) ->
    AdaptedData = apply_requested_adaptations(Adaptations, Data),
    {keep_state, AdaptedData, [{reply, From, ok}]};
plan_adaptation(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

constraint_resolution(enter, _OldState, Data) ->
    ResolutionData = identify_constraint_violations(Data),
    
    case resolve_constraint_conflicts(ResolutionData) of
        {resolved, ResolvedData} ->
            {next_state, plan_execution, ResolvedData};
        {partially_resolved, PartialData} ->
            {next_state, plan_adaptation, PartialData};
        {unresolvable, BlockedData} ->
            FailedData = escalate_constraint_failure(BlockedData),
            {next_state, idle, FailedData}
    end;
constraint_resolution(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

goal_achievement(enter, _OldState, Data) ->
    AchievementData = validate_goal_achievement(Data),
    UpdatedStats = increment_stat(goals_achieved, Data#planning_data.planning_statistics),
    
    LearningData = extract_planning_lessons(AchievementData),
    UpdatedLearningModel = update_planning_knowledge(LearningData, Data#planning_data.learning_model),
    
    FinalData = AchievementData#planning_data{
        planning_statistics = UpdatedStats,
        learning_model = UpdatedLearningModel
    },
    
    notify_goal_achievement(FinalData),
    {next_state, idle, FinalData};
goal_achievement({call, From}, get_execution_report, Data) ->
    Report = compile_execution_report(Data),
    {keep_state, Data, [{reply, From, {ok, Report}}]};
goal_achievement(EventType, Event, Data) ->
    handle_common_events(EventType, Event, Data).

terminate(_Reason, _State, _Data) ->
    ok.

code_change(_Vsn, State, Data, _Extra) ->
    {ok, State, Data}.

create_goal_specification(Goal) ->
    #goal_specification{
        id = make_ref(),
        description = maps:get(description, Goal, ""),
        type = maps:get(type, Goal, achievement),
        priority = maps:get(priority, Goal, medium),
        deadline = maps:get(deadline, Goal, undefined),
        success_criteria = maps:get(success_criteria, Goal, []),
        preconditions = maps:get(preconditions, Goal, []),
        constraints = maps:get(constraints, Goal, []),
        resources_required = maps:get(resources_required, Goal, []),
        stakeholders = maps:get(stakeholders, Goal, []),
        status = pending
    }.

conduct_goal_analysis(Data) ->
    Goal = Data#planning_data.current_goal,
    
    DecompositionAnalysis = analyze_goal_decomposition(Goal),
    _ResourceAnalysis = analyze_resource_requirements(Goal, Data#planning_data.resource_availability),
    ConstraintAnalysis = analyze_constraint_implications(Goal, Data#planning_data.constraint_network),
    _FeasibilityAnalysis = assess_goal_feasibility_factors(Goal, Data),
    
    EnhancedGoal = Goal#goal_specification{
        subgoals = DecompositionAnalysis,
        constraints = Goal#goal_specification.constraints ++ ConstraintAnalysis
    },
    
    Data#planning_data{current_goal = EnhancedGoal}.

validate_goal_feasibility(Data) ->
    Goal = Data#planning_data.current_goal,
    ResourceAvailability = Data#planning_data.resource_availability,
    EnvironmentalState = Data#planning_data.environmental_state,
    
    case check_resource_feasibility(Goal, ResourceAvailability) of
        insufficient_resources -> {infeasible, insufficient_resources};
        _ ->
            case check_environmental_feasibility(Goal, EnvironmentalState) of
                environmental_constraints -> {infeasible, environmental_constraints};
                _ -> feasible
            end
    end.

generate_action_plan(Data) ->
    Goal = Data#planning_data.current_goal,
    Strategy = Data#planning_data.planning_strategy,
    
    ActionPlan = case Strategy of
        hierarchical -> generate_hierarchical_plan(Goal, Data);
        reactive -> generate_reactive_plan(Goal, Data);
        hybrid -> generate_hybrid_plan(Goal, Data)
    end,
    
    Data#planning_data{action_plan = ActionPlan}.

validate_action_plan(Data) ->
    ActionPlan = Data#planning_data.action_plan,
    
    DependencyCheck = validate_action_dependencies(ActionPlan),
    ResourceCheck = validate_resource_allocation(ActionPlan, Data#planning_data.resource_availability),
    TimingCheck = validate_action_timing(ActionPlan),
    
    case {DependencyCheck, ResourceCheck, TimingCheck} of
        {valid, valid, valid} -> valid;
        _ -> {invalid, [DependencyCheck, ResourceCheck, TimingCheck]}
    end.

optimize_action_plan(Data) ->
    ActionPlan = Data#planning_data.action_plan,
    Criteria = Data#planning_data.optimization_criteria,
    
    OptimizedPlan = apply_multi_criteria_optimization(ActionPlan, Criteria),
    Data#planning_data{action_plan = OptimizedPlan}.

assess_plan_risks(Data) ->
    ActionPlan = Data#planning_data.action_plan,
    RiskTolerance = Data#planning_data.risk_tolerance,
    
    RiskFactors = identify_plan_risk_factors(ActionPlan),
    OverallRisk = calculate_overall_risk(RiskFactors),
    
    case is_risk_acceptable(OverallRisk, RiskTolerance) of
        true -> acceptable;
        false -> {unacceptable, RiskFactors}
    end.

prepare_for_execution(Data) ->
    ActionPlan = Data#planning_data.action_plan,
    
    ExecutionContext = #{
        current_action => 1,
        action_status => maps:from_list([{A#action_node.id, pending} || A <- ActionPlan]),
        resource_allocations => allocate_resources_to_actions(ActionPlan, Data#planning_data.resource_availability),
        execution_environment => prepare_execution_environment(Data)
    },
    
    Data#planning_data{execution_context = ExecutionContext}.

initiate_plan_execution(Data) ->
    StartTime = erlang:timestamp(),
    ExecutionHistory = [{execution_started, StartTime} | Data#planning_data.execution_history],
    Data#planning_data{execution_history = ExecutionHistory}.

execute_continuous_actions(Data) ->
    ActionPlan = Data#planning_data.action_plan,
    ExecutionContext = Data#planning_data.execution_context,
    
    case execute_all_ready_actions(ActionPlan, ExecutionContext) of
        {all_completed, UpdatedContext} ->
            {completed, Data#planning_data{execution_context = UpdatedContext}};
        {some_completed, UpdatedContext} ->
            {in_progress, Data#planning_data{execution_context = UpdatedContext}};
        {execution_failed, FailureContext} ->
            {failed, Data#planning_data{execution_context = FailureContext}};
        {blocked, BlockedContext} ->
            {blocked, Data#planning_data{execution_context = BlockedContext}}
    end.

execute_single_step(Data) ->
    ActionPlan = Data#planning_data.action_plan,
    ExecutionContext = Data#planning_data.execution_context,
    CurrentAction = maps:get(current_action, ExecutionContext, 1),
    
    case CurrentAction =< length(ActionPlan) of
        true ->
            Action = lists:nth(CurrentAction, ActionPlan),
            case execute_action(Action, ExecutionContext) of
                {success, UpdatedContext} ->
                    NewContext = maps:put(current_action, CurrentAction + 1, UpdatedContext),
                    {step_completed, Data#planning_data{execution_context = NewContext}};
                {failure, FailureContext} ->
                    {step_failed, Data#planning_data{execution_context = FailureContext}};
                {blocked, BlockedContext} ->
                    {step_blocked, Data#planning_data{execution_context = BlockedContext}}
            end;
        false ->
            {plan_completed, Data}
    end.

assess_execution_progress(Data) ->
    ActionPlan = Data#planning_data.action_plan,
    ExecutionContext = Data#planning_data.execution_context,
    
    ProgressMetrics = calculate_progress_metrics(ActionPlan, ExecutionContext),
    PerformanceMetrics = calculate_performance_metrics(Data),
    
    Data#planning_data{performance_metrics = maps:merge(Data#planning_data.performance_metrics, #{
        progress => ProgressMetrics,
        performance => PerformanceMetrics
    })}.

evaluate_progress_status(Data) ->
    Progress = maps:get(progress, Data#planning_data.performance_metrics, 0.0),
    _Goal = Data#planning_data.current_goal,
    
    case Progress of
        P when P >= 1.0 -> goal_achieved;
        P when P >= 0.8 -> on_track;
        P when P >= 0.5 -> behind_schedule;
        _ -> critical_deviation
    end.

analyze_adaptation_requirements(Data) ->
    ExecutionContext = Data#planning_data.execution_context,
    PerformanceMetrics = Data#planning_data.performance_metrics,
    
    AdaptationNeeds = identify_adaptation_needs(ExecutionContext, PerformanceMetrics),
    Data#planning_data{adaptation_triggers = AdaptationNeeds}.

determine_adaptation_strategy(Data) ->
    AdaptationNeeds = Data#planning_data.adaptation_triggers,
    
    case maps:get(severity, AdaptationNeeds, low) of
        low -> minor_adjustment;
        medium -> major_replanning;
        high -> goal_revision
    end.

validate_goal_achievement(Data) ->
    Goal = Data#planning_data.current_goal,
    ExecutionContext = Data#planning_data.execution_context,
    
    AchievementStatus = check_success_criteria(Goal#goal_specification.success_criteria, ExecutionContext),
    
    UpdatedGoal = Goal#goal_specification{status = 
        case AchievementStatus of
            all_met -> achieved;
            _ -> failed
        end},
    
    Data#planning_data{current_goal = UpdatedGoal}.

compile_plan_status(Data) ->
    #{
        session_id => Data#planning_data.session_id,
        current_goal => Data#planning_data.current_goal,
        execution_context => Data#planning_data.execution_context,
        performance_metrics => Data#planning_data.performance_metrics,
        planning_statistics => Data#planning_data.planning_statistics
    }.

compile_execution_report(Data) ->
    #{
        session_id => Data#planning_data.session_id,
        goal_specification => Data#planning_data.current_goal,
        action_plan => Data#planning_data.action_plan,
        execution_history => Data#planning_data.execution_history,
        performance_metrics => Data#planning_data.performance_metrics,
        lessons_learned => extract_planning_lessons(Data),
        execution_duration => calculate_execution_duration(Data)
    }.

extract_action_plan(Data) ->
    Data#planning_data.action_plan.

mark_goal_failed(_Reason, Data) ->
    Goal = Data#planning_data.current_goal,
    FailedGoal = Goal#goal_specification{status = failed},
    Data#planning_data{current_goal = FailedGoal}.

increment_stat(Stat, Stats) ->
    maps:update_with(Stat, fun(X) -> X + 1 end, 1, Stats).

notify_goal_achievement(Data) ->
    lists:foreach(fun(Observer) ->
        Observer ! {goal_achieved, Data#planning_data.session_id, Data#planning_data.current_goal}
    end, Data#planning_data.observers).

handle_common_events({call, From}, {add_constraint, Constraint}, Data) ->
    Constraints = [Constraint | Data#planning_data.constraint_network],
    {keep_state, Data#planning_data{constraint_network = Constraints}, [{reply, From, ok}]};
handle_common_events({call, From}, {remove_constraint, Constraint}, Data) ->
    Constraints = lists:delete(Constraint, Data#planning_data.constraint_network),
    {keep_state, Data#planning_data{constraint_network = Constraints}, [{reply, From, ok}]};
handle_common_events({call, From}, get_plan_status, Data) ->
    Status = compile_plan_status(Data),
    {keep_state, Data, [{reply, From, {ok, Status}}]};
handle_common_events({call, From}, get_execution_report, Data) ->
    Report = compile_execution_report(Data),
    {keep_state, Data, [{reply, From, {ok, Report}}]};
handle_common_events({call, From}, resume_execution, Data) ->
    ResumedData = resume_plan_execution(Data),
    {keep_state, ResumedData, [{reply, From, ok}]};
handle_common_events(_EventType, _Event, _Data) ->
    {keep_state_and_data, [postpone]}.

initialize_resource_pool(_Options) -> #{}.
capture_environmental_state() -> #{}.
initialize_adaptation_triggers(_Options) -> #{}.
initialize_planning_learning_model() -> #{}.
revise_planning_approach(_Issues, Data) -> Data.
develop_contingency_plans(Data) -> Data.
validate_execution_readiness(_Data) -> ready.
fulfill_execution_requirements(_Requirements, Data) -> Data.
execute_action_batch(Data) -> {batch_completed, Data}.
pause_plan_execution(Data) -> Data.
resume_plan_execution(Data) -> Data.
generate_progress_report(_Data) -> #{progress => 0.5}.
trigger_schedule_adaptation(Data) -> Data.
apply_minor_adjustments(Data) -> Data.
trigger_major_replanning(Data) -> Data.
revise_goal_specification(Data) -> Data.
apply_requested_adaptations(_Adaptations, Data) -> Data.
identify_constraint_violations(Data) -> Data.
resolve_constraint_conflicts(Data) -> {resolved, Data}.
escalate_constraint_failure(Data) -> Data.
extract_planning_lessons(_Data) -> [].
update_planning_knowledge(_Lessons, Model) -> Model.
analyze_goal_decomposition(_Goal) -> [].
analyze_resource_requirements(_Goal, _Resources) -> ok.
analyze_constraint_implications(_Goal, _Constraints) -> [].
assess_goal_feasibility_factors(_Goal, _Data) -> feasible.
check_resource_feasibility(_Goal, _Resources) -> sufficient.
check_environmental_feasibility(_Goal, _Environment) -> feasible.
generate_hierarchical_plan(_Goal, _Data) -> [].
generate_reactive_plan(_Goal, _Data) -> [].
generate_hybrid_plan(_Goal, _Data) -> [].
validate_action_dependencies(_Plan) -> valid.
validate_resource_allocation(_Plan, _Resources) -> valid.
validate_action_timing(_Plan) -> valid.
apply_multi_criteria_optimization(Plan, _Criteria) -> Plan.
identify_plan_risk_factors(_Plan) -> [].
calculate_overall_risk(_Factors) -> low.
is_risk_acceptable(_Risk, _Tolerance) -> true.
apply_risk_mitigation(_Factors, Data) -> Data.
allocate_resources_to_actions(_Plan, _Resources) -> #{}.
prepare_execution_environment(_Data) -> #{}.
execute_all_ready_actions(_Plan, Context) -> {all_completed, Context}.
execute_action(_Action, Context) -> {success, Context}.
calculate_progress_metrics(_Plan, _Context) -> 0.5.
calculate_performance_metrics(_Data) -> #{}.
identify_adaptation_needs(_Context, _Metrics) -> #{severity => low}.
check_success_criteria(_Criteria, _Context) -> all_met.
calculate_execution_duration(_Data) -> 1000.