Definition: Abilitable is a term used in the field of computer science to describe a capability that can be transferred or improved by an entity. The term has been proposed by Peter Norvig, a professor at Stanford University who studies artificial intelligence. The concept of ability transfer refers to the idea that someone with one type of skill or capability can be trained and become another type of person, such as a computer programmer or a data scientist. In other words, individuals have different types of abilities that they can learn from each other through shared knowledge and resources. One common way in which abilitable capabilities are used is in the field of natural language processing (NLP). NLP involves using algorithms and machine learning to analyze text and extract meaning from it. Abilitable capabilities can be trained on large amounts of data, allowing computers to learn patterns and understand language at a level that would be difficult for humans to achieve. The term abilitable also has broader implications beyond the field of computer science, such as in social sciences and psychology. In these areas, ability transfer and the study of human behavior are key concepts.
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