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AI refers to systems that display intelligent behaviour by analysing their environment and taking action – with some degree of autonomy – to achieve specific go als. Since AI refers to so many techniques and contexts, greater precision is required in order to hold meaningful and constructive debates about it.
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• Create intelligent systems which can exhibit smart behavior with an in-built ability to learn, validate, explain, and suggest a suitable course of action to its users. • Help machines find solutions to complex problems in a similar way that humans do and apply
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Dec 18, 2022 · The goal of this paper is to give a general description of an intelligent system, which integrates previous approaches and takes into account recent advances in artificial intelligence.
An intelligent system is an advanced computer system that can gather, analyze and respond to the data it collects from its surrounding environment. It can work and communicate with other agents, such as users or other computer systems. It can also learn from experience and adapt according to current data.
As well as improving our capabilities in modeling and simulating systems, it is important to look at how, with the use of intelligent systems, wemight better control the complex systems being modeled.
- James Hendler
AI systems contain algorithms, but often just for a few parts like a learning or reward calculation method. Much of their behavior emerges via learning from data or experience, a sea change in system design that Stanford alumnus Andrej Karpathy dubbed Software 2.0. Narrow AI is intelligent systems for one particular
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Introduction 1.1 Intelligent Systems. General characterization: An intelligent system has the ability to act appropriately in an uncertain environment, where an appropriate action is that which increases the probability of success, and success is the achievement of behavioral subgoals that support the system's ultimate goal [Antsaklis, 1994].
