Intelligent agent
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In computer science, an intelligent agent (IA) is a software agent that exhibits some form of artificial intelligence. While the working of software agents used for operator assistance or data mining (sometimes referred to as bots), are often based on fixed pre-programmed rules, "intelligent" here implies the ability to adapt and learn.
In some literature IAs are also referred to as autonomous intelligent agents, although autonomy is generally assumed for agents. According to Nicola Kasabov[1] IA systems should exhibit the following characteristics:
- learn and improve through interaction with the environment (embodiment)
- adapt online and in real time
- learn quickly from large amounts of data
- accommodate new problem solving rules incrementally
- have memory based exemplar storage and retrieval capacities
- have parameters to represent short and long term memory, age, forgetting, etc.
- be able to analyze itself in terms of behavior, error and success
[edit] See also
- Agent environment - discussion of environment types
- Fuzzy agents - IA implemented with adaptive fuzzy logic
- Cognitive architectures - IA considered to be self-aware
- Multi-agent system and Multiple agent system - multiple interactive agents
- Reinforcement learning
- Cybernetics, Computer science
- Semantic web - making (approximations of) the meaning of web pages available for automated processing
- Federated search - the ability for agents to search heterogeneous data sources using a single vocabulary
[edit] References
[edit] External links
| This page uses content from the English-language version of Wikipedia. The original article was at Intelligent agent. The list of authors can be seen in the page history. As with Psychology Wiki, the text of Wikipedia is available under the GNU Free Documentation License. |
