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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 ...

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 ...

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

 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

AI Course Overview The course provides students with basic knowledge of the theory and practice of Artificial Intelligence as a discipline concerning intelligent agents capable of deciding what to do and doing it. The material covered includes search algorithms, knowledge representation and reasoning, as well as a brief introduction to several sub-fields of AI. The course objectives are: ° To have an appreciation for and understanding of both the achievements of AI and the theor...

1. Given the following propositions: p: Peter is driving his own car. a: Andrew is late. m: Max has caught the bus. (a) Write each of the following in symbols: (i) Andrew is late and Peter is driving his own car. (ii) Either Max has caught the bus or else Andrew is late. (iii) Either Peter is driving his own car and Andrew is late or else Max has not caught the bus. (iv) Peter is driving his own car and either Andrew is late or else Max has caught the bus. (v) Max has caught the bus b...

”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.” (...

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.

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)

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...