Advanced Script-Based AI Systems
Recent advancements in AI have led to the development of more sophisticated script-based systems. These systems leverage machine learning and deep learning techniques to enhance the flexibility and adaptability of scripts.
Dynamic Script Generation:
- AI systems can dynamically generate scripts based on real-time data and context.
- Example: An AI personal assistant might create a daily schedule script by analyzing the user’s calendar, emails, and preferences.
Adaptive Scripts:
- Scripts that can adapt to changes in the environment or user behavior.
- Example: In autonomous driving, the vehicle’s navigation script can adjust routes based on traffic conditions and road closures.
Hierarchical Scripts:
- Scripts that operate at multiple levels of abstraction, allowing for more complex and nuanced behaviors.
- Example: In healthcare, a diagnostic AI might use high-level scripts for initial patient assessment and more detailed scripts for specific diagnostic tests and treatments.
Script Theory in Artificial Intelligence
Script theory in Artificial Intelligence (AI) is a concept borrowed from cognitive psychology to help machines understand and predict human behavior by modeling sequences of events as predefined scripts. Originally proposed by cognitive scientist Roger Schank in the 1970s, script theory provides a framework for representing stereotypical sequences of actions in specific contexts, enabling AI systems to simulate human-like understanding and interaction.
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