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472 artículos

Introduction to Swing programming I ( COMPUTER SCIENCE )

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JSlider You use the JSlider in applications to allow for a change in a numerical value. It's a quick and easy way to let users visually get feedback on not only their current choice, but also their range of acceptable values. If you think about it, you could provide a text field and allow your user to enter a value, but then you'd have the added hassle of ensuring that the value is a number and also that it fits in the required numerical range. As an example, if you have a financial Web ...

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  • Notas de lectura
  •  • 34 páginas • 
  • por Ben002 • 
  • subido  17-09-2021
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Uninformed (Blind) Search ( Artificial Intelligence ) - COMPUTER SCIENCE

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 Blind Searches have no preference as to which state (node) that is expanded next  The different types of blind searches are characterised by the order in which they expand the nodes.  This can have a dramatic effect on how well the search performs when measured against the four criteria we defined in an earlier lecture

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  • Notas de lectura
  •  • 36 páginas • 
  • por Ben002 • 
  • subido  17-09-2021
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Learning from observations (Artificial Intelligence) - COMPUTER SCIENCE

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”Modification of a behavioral tendency by expertise.” (Webster 1984) • ”A learning machine, broadly defined is any device whose actions are influenced by past experiences.” (Nilsson 1965) • ”Any change in a system that allows it to perform better the second time on repetition of the same task or on another task drawn from the same population.” (Simon 1983) • ”An improvement in information processing ability that results from information processing activity.” (...

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  •  • 11 páginas • 
  • por Ben002 • 
  • subido  17-09-2021
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Applications of A.I and Application Domains ( Artificial Intelligence) - COMPUTER SCIENCE

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Expert systems  Diagnosis e.g. MYCIN  Generate alerts and reminders  Therapy critiquing and planning  Knowledge management  Doctors rely on at least 2 million facts and clinical knowledge doubles every 20 years.

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  • Notas de lectura
  •  • 11 páginas • 
  • por Ben002 • 
  • subido  17-09-2021
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Knowledge Representation - Logic ( Artificial Intelligence ) : COMPUTER SCIENCE

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The syntax:  Vocabulary:  A set of propositional symbols - e.g., P, Q, …  A set of logical connectives or operators  usually  (OR),  (AND), ¬ (NOT),  (implication), maybe  (equivalence), Parenthesis (for grouping)  The special symbols  True, False (logical constants)

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  •  • 19 páginas • 
  • por Ben002 • 
  • subido  17-09-2021
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Knowledge Representation ( Artificial Intelligence ) : COMPUTER SCIENCE

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Expressiveness of natural language:  Very expressive, probably everything that can be expressed symbolically can be expressed in natural language (pictures, content of art, emotions are often hard to express)  Probably the most expressive knowledge representation formalism we have. Reasoning is very complex, hard to model Problems with natural language:  Natural language is often ambiguous.  The syntax and semantics are not fully understood.  There is little uniformity...

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  •  • 24 páginas • 
  • por Ben002 • 
  • subido  17-09-2021
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Part 3.1 : Problem solving - Searching ( Artificial Intelligence) : COMPUTER SCIENCE

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 Some issues:  Search trees grow very quickly  The size of the search tree is governed by the branching factor  Even this simple game tic-tac-toe has a complete search tree of 984,410 potential nodes  The search tree for chess has a branching factor of about

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Foundations of Artificial Intelligence : INTRODUCTION TO STATE SPACE SEARCH

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 A goal directed agent needs to achieve certain goals. Such an agent selects its actions based on the goal it has.  Many problems can be represented as a set of states and a set of rules of how one state is transformed to another.  Each state is an abstract representation of the agent's environment.  It is an abstraction that denotes a configuration of the agent.  Initial state : The description of the starting configuration of the agent.  An action/ operator t...

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SCO 113– Foundations of Artificial Intelligence

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Humans can be looked upon as agents. They have eyes, ears, skin, taste buds, etc. for sensors; and hands, fingers, legs, mouth for effectors. 2. Robots are agents. Robots may have camera, sonar, infrared, bumper, etc. for sensors. They can have grippers, wheels, lights, speakers, etc. for actuators. Some examples of robots are Xavier from CMU, COG from MIT, etc. 3. We also have software agents or softbots that have some functions as sensors and some functions as actuators. A is an ...

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Tutorials Point, Simply Easy Learning 1 - Java Database Connectivity ( JDBC ) Tutorial (COMPUTER SCIENCE)

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What is JDBC? JDBC stands for Java Database Connectivity, which is a standard Java API for databaseindependent connectivity between the Java programming language and a wide range of databases. The JDBC library includes APIs for each of the tasks commonly associated with database usage:  Making a connection to a database  Creating SQL or MySQL statements  Executing that SQL or MySQL queries in the database  Viewing & Modifying the resulting records

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  • por Ben002 • 
  • subido  17-09-2021
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