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Ethical Decision-Making.txt
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Ethical Decision-Making.txt
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Ethical Decision-Making
Input: Ethical dilemma
Output: Optimal action based on ethical considerations
Begin:
// Step 1: Classify the Dilemma
ClassifyDilemma():
If dilemma involves moral principles:
Return Ontological
Else if dilemma involves knowledge or belief:
Return Epistemic
// Step 2: Evaluate Options
EvaluateOptions(dilemma):
options = GeneratePossibleActions(dilemma)
For each option in options:
outcomes = MonteCarloTreeSearch(option)
EvaluateOption(outcomes)
// Step 3: Action Evaluation
EvaluateOption(outcomes):
For each outcome in outcomes:
qualityScore = CalculateQualityScore(outcome)
payoff = CalculatePayoff(outcome)
virtueScore = CalculateVirtueScore(outcome)
nashEquilibrium = ApplyNashEquilibrium(qualityScore, payoff, virtueScore)
If nashEquilibrium is optimal:
Return outcome
// Step 4: Decision Making
MakeDecision():
optimalAction = FindOptimalAction()
If optimalAction exists:
ExecuteAction(optimalAction)
Else:
ReassessOptions()
// Step 5: Adaptation and Refinement
AdaptAndRefine():
outcome = AssessOutcome(optimalAction)
UpdateDecisionParameters(outcome)
ValidateActionsAndBeliefs()
// Step 6: Validation and Execution
ValidateAndExecute(optimalAction):
If ValidateUsingAxiomaticLogic(optimalAction):
ExecuteAction(optimalAction)
CollectOutcomeData()
// Step 7: Feedback and Continuous Improvement
ImproveDecisionMaking():
feedback = CollectFeedback()
RefineDecisionMakingParameters(feedback)
LearnAndAdapt()
End