Ai Frame
An AI Frame, or Artificial Intelligence Frame, is a data-structure used in AI systems to store a collection of knowledge regarding the world. It contains information about typical scenarios, sequences of events or objects, which helps the AI make assumptions about unknown situations. The concept was introduced by Marvin Minsky in his book “Vision”, published in 1975.
Areas of application
- Robotics
- Autonomous vehicles
- Healthcare and medical diagnosis
- Virtual personal assistants
- Customer service bots
- Image and video analysis
- Predictive analytics
Example
AI Frames are really useful when we interact with Artificial Intelligent systems like Siri, Alexa, or Google Assistant. They are like the experience and knowledge the AI has acquired, which helps them understand and respond to us.
For instance, when you tell Siri, “Wake me up at 7 AM”, the AI frame allows Siri to understand that it needs to set an alarm for 7 in the morning. It knows from its AI frame that “wake me up” pertains to setting up an alarm and “7 AM” is the time for the alarm.
Or think about it like this. Imagine you are preparing to cook a meal for the first time without a recipe. If someone gives you a list of ingredients, without any context or ‘frame’ of reference, you might not know what to do. But if you have a basic ‘frame’ or understanding of how certain ingredients go together, you may be able to guess how to prepare the meal. Similarly, an AI Frame provides that basic structure or understanding for AI systems to operate.