The Elusive Spark: Defining Optimal Happiness Criteria For Ai Agents

Abstract

The Pursuit Of Artificial Intelligence (AI) Capable Of Complex Decision-making And Autonomous Action Led To Increased Interest In Equipping AI Agents With Motivations. While Objective Metrics Such As Task Completion Or Resource Optimization Are Commonly Used, Imbuing AI With A Concept Similar To "happiness" Or Well-being. It Offers Intriguing Possibilities For Enhanced Adaptability, Creativity, And Ethical Behavior. This Paper Explores The Multifaceted Challenge Of Defining Optimal Happiness Criteria For AI Agents. In This Examine Various Philosophical And Psychological Perspectives On Happiness, Analyze The Potential Pitfalls Of Directly Translating Human Concepts To An AI Context, And Propose A Framework For Developing Context-dependent And Ethically Aligned Happiness Criteria That Promote Beneficial AI Agency.

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