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472 artículos
Introduction to Swing programming I ( COMPUTER SCIENCE )
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 ...
- Notas de lectura
- • 34 páginas •
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 ...
Uninformed (Blind) Search ( Artificial Intelligence ) - COMPUTER SCIENCE
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
- Notas de lectura
- • 36 páginas •
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
Learning from observations (Artificial Intelligence) - COMPUTER SCIENCE
”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.” (...
- Notas de lectura
- • 11 páginas •
”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.” (...
Applications of A.I and Application Domains ( Artificial Intelligence) - COMPUTER SCIENCE
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.
- Notas de lectura
- • 11 páginas •
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.
Knowledge Representation - Logic ( Artificial Intelligence ) : COMPUTER SCIENCE
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)
- Notas de lectura
- • 19 páginas •
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)
Knowledge Representation ( Artificial Intelligence ) : COMPUTER SCIENCE
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...
- Notas de lectura
- • 24 páginas •
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...
Part 3.1 : Problem solving - Searching ( Artificial Intelligence) : COMPUTER SCIENCE
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
- Notas de lectura
- • 17 páginas •
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
Foundations of Artificial Intelligence : INTRODUCTION TO STATE SPACE SEARCH
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...
- Notas de lectura
- • 31 páginas •
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...
SCO 113– Foundations of Artificial Intelligence
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 ...
- Notas de lectura
- • 29 páginas •
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 ...
Tutorials Point, Simply Easy Learning 1 - Java Database Connectivity ( JDBC ) Tutorial (COMPUTER SCIENCE)
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
- Notas de lectura
- • 27 páginas •
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
ATI PN MENTAL HEALTH PROCTORED EXAM 2020