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Rational Artificial Intelligence for the Greater Good - Self
Rational Artificial Intelligence for the Greater Good - Self

... on the details of the environment, but there are common features to the progression. For each computational architecture, there are environments for which that architecture is fully rational. We can measure the complexity of a task defined by an environment and a utility function as the smallest am ...
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... replaced by a computer programmed to deceive the interrogator as the man did. It would even be programmed to make mistakes and provide fuzzy answers in the way a human would. If the computer can fool the interrogator as often as the man did, we may say this computer has passed the intelligent ...
Understanding Computers, 11/e, Chapter 12
Understanding Computers, 11/e, Chapter 12

... toward meeting short-term objectives ...
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Expert Systems for Space Station Automation
Expert Systems for Space Station Automation

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IEEE Global Initiative for Ethical Considerations in Artificial

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CS 294-5: Statistical Natural Language Processing

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Intelligent Systems: Perspectives and Research Challenges

... uncertain and imprecise information. In general, intelligent systems have to deal  with sources of uncertainty [2], such as the occurrence of unexpected events, and  uncertain  ̶  incomplete,  inconsistent  or  defective  ̶  information  available  to  the  system for the purpose of deciding what ac ...
Question #1 Which do muscles interact with to accomplish
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Cognitive Systems: Insights, Examples, Systems — Report

... CSR has shown that cognitively different people (for example, patients with ASD) can perform quite well in society when helped by appropriately designed cognitive systems. Mathematical or computational models of the brain and its cognitive processes combined with psychological treatment and robotics ...
5. Are You Getting all the Information You Need?
5. Are You Getting all the Information You Need?

... applications in cognitive science, robotics, and natural interfaces. The goal of AI is the development of computer functions normally associated with human physical and mental capabilities, such as robots that see, hear, talk, feel, and move, and software capable of reasoning, learning, and problem ...
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Incomplete Nature



Incomplete Nature: How Mind Emerged from Matter is a 2011 book by biological anthropologist Terrence Deacon. The book covers topics in biosemiotics, philosophy of mind, and the origins of life. Broadly, the book seeks to naturalistically explain ""aboutness"", that is, concepts like intentionality, meaning, normativity, purpose, and function; which Deacon groups together and labels as ententional phenomena.
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