Test 4 Flashcards
Networks that learn and are capable of performing tasks that are difficult with conventional computers such as playing chess recognizing patterns in faces and objects and filtering spam emails.
Artificial neural networks.
Is a process and procedure by which knowledge is gained through experience in other words computers learn without being explicitly programmed
Machine Learning
Consists of related technologies that try to simulate no reproduce human thought behavior including thinking speaking and feeling
Artificial intelligence
Mimic human expertise in a particular field to solve a problem in a well defined area
Expert systems
Allows a smooth gradual transition between human and computer vocabularies and deals with variations in linguistic terms by using a degree of membership
Fuzzy logic
Are software capable of reasoning and following rule based processes they are becoming more popular
Intelligent agents
Similar to a DBMS is used to keep the knowledge base updated with changes to facts figures and rules
Knowledge base management system (KBMS)
Usually track and report on computer equipment and network systems to prefect when a system crash or failure might occur
Monitoring and surveillance agents
Perform specific tasks for a user such as remembering information for filling out web forms or completing email addresses after the first few characters are typed
Personal agents
One of the most successful applications of AI they perform well at simple repetitive tasks and can be used to free workers from tedious or hazardous jobs
Robots
Help users navigate through the vast resources available on the web and provide results in finding information
Shopping and information agents
The expert system starts with the goal the “then” part. And backtracks to find the right solution
Backward chaining
Is a problem solving technique that matches a new case with a previously solved case and it’s solution both stored in a database
Case based reasoning
Refers to a computing environment that is always present can feel our surroundings based on who we are where we are and whom we are with
Contextual computing
Performs tasks similar to what a human expert does by explaining to end users how recommendations are derived
Explanation facility
A series of if then else condition pairs is performed
Forward chaining
Are search algorithms that mimic the process of natural evolution
Genetic algorithms
Is similar to the model base component of a decision support system
Inference engine
Is a software package with manual or automated methods for acquiring and incorporating new rules and facts so the expert system is capable of growth.
Knowledge acquisition facility
Similar to a database but in addition to storing facts and figures it keeps track of rules and explanations associated with facts.
Knowledge base