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ARTIFICIAL INTELLIGENCE [INTELLIGENT AGENTS PARADIGM]

ARTIFICIAL INTELLIGENCE [INTELLIGENT AGENTS PARADIGM]

ARTIFICIAL INTELLIGENCE [INTELLIGENT AGENTS PARADIGM]. INT RODUCTION. Professor Janis Grundspenkis Riga Technical University Faculty of Computer Science and Information Technology Institute of Applied Computer Systems Department of Systems Theory and Design

By lila-hendrix
(120 views)

Welcome to the
Computer Systems Lab
 
tjhsst/compsci

Welcome to the Computer Systems Lab tjhsst/compsci

Welcome to the Computer Systems Lab www.tjhsst.edu/compsci. Research and Mentorship. Projects fall within a broad spectrum of computer science spanning artificial intelligence and machine learning, computer vision, graphics,

By linus-rosario
(193345 views)

TM Forum Icon Library - Black

TM Forum Icon Library - Black

TM Forum Icon Library - Black. Activity Simulation. Artificial Intelligence 3. Application Process. Artificial Intelligence 2. Agenda. Artificial Intelligence 1. Blockchain. Attendees. Agility. Camp Fire. CEM. Catalyst. Catalog Management. Case study. Cloud. Cloud 2.

By bdavis
(2 views)


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Artificial Intelligence Lecture 2

Artificial Intelligence Lecture 2

Artificial Intelligence Lecture 2. Dr. Bo Yuan, Professor Department of Computer Science and Engineering Shanghai Jiaotong University boyuan@sjtu.edu.cn. Review of Lecture One. O verview of AI Knowledge-based rules in logics (expert system, automata, …) : Symbolism in logics

By yardley (74 views)

Lesson 2 Artificial Intelligence

Lesson 2 Artificial Intelligence

Lesson 2 Artificial Intelligence. Qs:. Before we start:. 1. Besides Artificial Intelligence, What science fiction films have you seen that are about intelligent robots or robots that look like humans?. 2. How did the robots behave towards humans?. What are robots doing?.

By davis-middleton (222 views)

A New Artificial Intelligence 2

A New Artificial Intelligence 2

A New Artificial Intelligence 2. Kevin Warwick. Nature –versus-Nurture. How much of our intelligence is due to our genes (programming) and how much is due to learning (the environment)? Twin studies Adopted siblings Typical latest – 80/20 genes/nature. Intelligence Tests.

By shea (111 views)

Artificial Intelligence 2. AI Agents

Artificial Intelligence 2. AI Agents

Artificial Intelligence 2. AI Agents. Course IAT813 Simon Fraser University Steve DiPaola Material adapted : S. Colton / Imperial C. Language and Considerations in AI. Language Notions and assumptions common to all AI projects (Slightly) philosophical way of looking at AI programs

By ejulie (0 views)

Artificial Intelligence 2. AI Agents

Artificial Intelligence 2. AI Agents

Artificial Intelligence 2. AI Agents. Course V231 Department of Computing Imperial College, London Jeremy Gow. Ways of Thinking About AI. Language Notions and assumptions common to all AI projects (Slightly) philosophical way of looking at AI programs “Autonomous Rational Agents”,

By kratochvil (0 views)

Artificial Intelligence Logic Part 2

Artificial Intelligence Logic Part 2

Artificial Intelligence Logic Part 2. L. Manevitz. Unification. P(x,f(y),B). Alphabetic variant. Term substitution. “Ground”. S 1 ={z/x,w/y}. P(z,f(w),B). S 2 ={g(z)/x,A/y}. P(g(z),f(A),B). S 3 ={C/x,A/y}. P(C,f(A),B). P(a). P(a). P(a) Q(a). P(x) Q(x). Q(a). Example.

By gaye (95 views)

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence. Definition: Artificial Intelligence is the study of how to make computers do things at which, at the moment, people are better. According to this test, a computer could be considered to be thinking only when a human interviewer, conversing with both

By albert (239 views)

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence. What is AI? Issues in AI. An Overview - AI is a science of making intelligent machines - Intelligence is a type of computation : What is a computation?  Turing Machines - How do we know if a machine is intelligent or not ?  Turing Test.

By MikeCarlo (320 views)

Artificial Intelligence

Artificial Intelligence

Overview. Searching for SolutionsUninformed SearchBFSUCSDFSDLSIDS. Searching for Solutions. Tree Search Algorithms. Tree Search Example. Implementation: State vs. Nodes. and state. General Tree Search. Search Strategies. Uninformed Search. Uninformed Search Strategies. Use only the information available in the problem definitionBreadth-first searchUniform-cost searchDepth-first searchDepth-limit searchIterative deepening search.

By Thomas (483 views)

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence. Informed search algorithms Chapter 4, Sections 1-5. Outline. Informed = use problem-specific knowledge Which search strategies? Best-first search and its variants Heuristic functions? How to invent them Local search and optimization

By terra (124 views)