الذكاء الاصطناعي1
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Artificial intelligence is the study and creation of intelligent machines and computer programs. There are two major types: robots and expert systems. Expert systems use symbolic processing and a knowledge base of rules to solve complex problems, often mimicking human expertise. Knowledge engineers work with domain experts to build expert systems using programming languages like LISP and PROLOG. Key developments included symbolic processing, heuristic search, knowledge representation, and the creation of knowledge bases. Major funding came from DARPA in the 1960s, which helped launch the field of AI research. Modern applications include online assistants, automated journalism, and note-taking apps. Challenges remain in areas like commonsense reasoning and embodied cognition.
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الذكاء الاصطناعي1
Artificial intelligence is the study and creation of intelligent machines and computer programs. There are two major types: robots and expert systems. Expert systems use symbolic processing and a knowledge base of rules to solve complex problems like a human expert. Knowledge engineers work with domain experts to build the knowledge base and heuristics. Early development of AI included symbolic languages like LISP and PROLOG. Key developments included expert systems, speech recognition, and machine learning including neural networks. Current areas of focus include self-driving cars, online assistants, and knowledge management tools.
الذكاء الاصطناعي1
Artificial intelligence is the study and creation of intelligent machines and computer programs. There are two major types: robots and expert systems. Expert systems use symbolic processing and a knowledge base of rules to solve complex problems, often mimicking human expertise. Knowledge engineers work with domain experts to build expert systems using programming languages like LISP and PROLOG. Key developments included symbolic processing, heuristic search, knowledge representation, and the creation of knowledge bases. Major funding came from DARPA in the 1960s, which helped launch the field of AI research. Modern applications include online assistants, automated journalism, and note-taking apps. Challenges remain in areas like commonsense reasoning and embodied cognition.
الذكاء الاصطناعي
Artificial intelligence is the study and creation of intelligent machines and computer programs. There are two major types: robots and expert systems. Expert systems use a knowledge base, heuristics, and knowledge engineers to solve complex problems through symbolic processing languages like LISP and PROLOG. The history of AI includes the development of logic theory in the 1950s, expert systems in the 1970s-80s, the creation of DARPA in the 1950s, and the rise of AI assistants like Siri in the 2010s that can understand natural language. Modern AI techniques are used in applications such as online journalism, digital assistants, music identification, and note taking applications.
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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