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Such planners are called "domain independent" to emphasize the fact that they can solve planning problems from a wide range of domains. Typical examples of domains are block-stacking, logistics, workflow management, and robot task planning. Hence a single domain-independent planner can be used to solve planning problems in all these various ...
Moreover, many tasks may be carried out inadequately by artificial intelligence even if its algorithms were transparent, understood, bias-free, apparently effective, and goal-aligned and its trained data sufficiently large and cleansed – such as in cases were the underlying or available metrics, values or data are inappropriate.
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal.
In the context of generative artificial intelligence, AI agents [31] (also known as compound AI systems, [31] agentic AI, [32] [33] [34] large action models, [32] or large agent models [32]) are agents defined by a spectrum of attributes: complexity of their environment, complexity of their goals, a user interface based on natural language ...
The character Proteus from the 1973 novel Demon Seed also portrays the same characteristics of an artificial intelligence controlling an embedded environment. By the time these two novels were released, the idea of a computer controlling the environment that surrounds us was not broadly accepted by the community since both characters played the ...
Provides many tasks from classification to QA, and various languages from English, Portuguese to Arabic. Appen : Off The Shelf and Open Source Datasets hosted and maintained by the company. These biological, image, physical, question answering, signal, sound, text, and video resources number over 250 and can be applied to over 25 different use ...
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
Intelligent automation (IA), or alternately intelligent process automation, is a software term that refers to a combination of artificial intelligence (AI) and robotic process automation (RPA). [1] Companies use intelligent automation to cut costs and streamline tasks by using artificial-intelligence-powered robotic software to mitigate ...