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2. Knowledge representation and reasoning - Wikipedia

   en.wikipedia.org/wiki/Knowledge_representation...

   Any mechanically embodied intelligent process will be comprised of structural ingredients that a) we as external observers naturally take to represent a propositional account of the knowledge that the overall process exhibits, and b) independent of such external semantic attribution, play a formal but causal and essential role in engendering ...

3. The Ghost in the System: On AI & The Uncertainty of Meaning - AOL

   www.aol.com/ghost-system-ai-uncertainty-meaning...

   AI, at its best, is not a solver of uncertainty but an enabler of its transformation—a mediator of meaning, a catalyst for systemic integrity, and a partner in the ongoing evolution of human ...

4. Knowledge acquisition - Wikipedia

   en.wikipedia.org/wiki/Knowledge_acquisition

   Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules ...

5. Frame (artificial intelligence) - Wikipedia

   en.wikipedia.org/wiki/Frame_(artificial...

   Frames are focused on explicit and intuitive representation of knowledge whereas objects focus on encapsulation and information hiding. Frames originated in AI research and objects primarily in software engineering. However, in practice, the techniques and capabilities of frame and object-oriented languages overlap significantly.

6. Inference engine - Wikipedia

   en.wikipedia.org/wiki/Inference_engine

   The typical expert system consisted of a knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applied logical rules to the knowledge base and deduced new knowledge. This process would iterate as each new fact in the knowledge base could trigger additional rules in the inference engine.

7. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

8. Knowledge-based systems - Wikipedia

   en.wikipedia.org/wiki/Knowledge-based_systems

   The internet often has to deal with complex, unstructured data that cannot be relied on to fit a specific data model. The technology of knowledge-based systems, and especially the ability to classify objects on demand, is ideal for such systems. The model for these kinds of knowledge-based internet systems is known as the Semantic Web. [13]

9. Soar (cognitive architecture) - Wikipedia

   en.wikipedia.org/wiki/Soar_(cognitive_architecture)

   Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...