Intelligent Agent
An Intelligent Agent is an autonomous agent that is an intelligent system (which can perform intelligence task).
- Context:
- It can desire and achieve Agent Goals/Desired Results in a wide range of environments.
- It can manifest Goal-Direct Behaviors (perform Decision Making to achieve a Desired Result).
- It can range, depending on its approximation of human intellectual capabilities, from being a Subhuman Intelligence Agent/Non-Cognitive Intelligent Agent (such as an ant), to being a Human-level Intelligence Agent, to being a Superhuman-level Intelligence Agent.
- It can range from being an Intelligent Person to being an Intelligent Mechanical Agent.
- It can range from being an Unconscious Agent to being a Conscious Agent.
- It can range from being a Non-Linguistic Agent to being a Linguistic Agent.
- It can range from being a Non-Economic Agent to being an Economic Agent.
- It can range from being a Mathematically Intelligent Agent to being a Non-Mathematically Intelligent Agent.
- It can range form being a Single Intelligent Agent to being a Collective Intelligent Agent.
- It can range from being an Emotionally Intelligent Agent to being Non-Emotionally Intelligent Agent.
- It can belong to an Intelligent Agent Community.
- It can perform an Intelligent Agent Action.
- It can create Abstract Constructs.
- ...
- Example(s):
- an Intelligent Living Agent, such as an Ant and a Person.
- an Intelligent Machine, such as an expert system.
- A Collective Intelligent Agent, such as a Corporation.
- …
- Counter-Example(s):
- a Non-Intelligent Agent, such as a web crawler.
- a Non-Autonomous Intelligent System, such as a Watson Q/A system.
- See: Cognitive Agent, Moral Agent, Cognitive Agent.
References
2014
- https://www.udacity.com/wiki/cs271/unit1-notes#intelligent-agents
- QUOTE: Properties of an intelligent agent:
- interacts with an environment in a state
- uses sensors to perceive its state.
- uses actuators to affect its state.
- has a function called its control policy that maps sensors to actuators.
- This class will deal with how an agent makes decisions that it can carry out with its actuators based on past sensor data. The loop of environment feedback to sensors, agent decision, actuator interaction with the environment and so on is called perception action cycle.
- QUOTE: Properties of an intelligent agent:
2013
- http://en.wikipedia.org/wiki/Intelligent_agent
- In artificial intelligence, an intelligent agent (IA) is an autonomous entity which observes through sensors and acts upon an environment using actuators (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is rational).[1] Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex: a reflex machine such as a thermostat is an intelligent agent,[2] as is a human being, as is a community of human beings working together towards a goal.
Intelligent agents are often described schematically as an abstract functional system similar to a computer program. For this reason, intelligent agents are sometimes called abstract intelligent agents (AIA)[citation needed] to distinguish them from their real world implementations as computer systems, biological systems, or organizations. Some definitions of intelligent agents emphasize their autonomy, and so prefer the term autonomous intelligent agents. Still others considered goal-directed behavior as the essence of intelligence and so prefer a term borrowed from economics, “rational agent”.
Intelligent agents in artificial intelligence are closely related to agents in economics, and versions of the intelligent agent paradigm are studied in cognitive science, ethics, the philosophy of practical reason, as well as in many interdisciplinary socio-cognitive modeling and computer social simulations.
Intelligent agents are also closely related to software agents (an autonomous computer program that carries out tasks on behalf of users). In computer science, the term intelligent agent may be used to refer to a software agent that has some intelligence, regardless if it is not a rational agent by Russell and Norvig's definition. For example, autonomous programs used for operator assistance or data mining (sometimes referred to as bots) are also called "intelligent agents".
- In artificial intelligence, an intelligent agent (IA) is an autonomous entity which observes through sensors and acts upon an environment using actuators (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is rational).[1] Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex: a reflex machine such as a thermostat is an intelligent agent,[2] as is a human being, as is a community of human beings working together towards a goal.
- ↑ Template:Harvnb
- ↑ According to the definition given by Template:Harvtxt
2009
- (Wooldridge, 2009) ⇒ Michael Wooldridge. (2009). “An Introduction to MultiAgent Systems, 2nd edition.” In: Wiley Publishing. ISBN:0470519460, ISBN:9780470519462.
- QUOTE: The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). … Multiagent systems are systems composed of multiple interacting computing elements, known as agents.