intelligent agent

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intelligent agent

[in¦tel·ə·jənt ′ā·jənt]
(industrial engineering)
A computing hardware- or software-based system that operates without the direct intervention of humans or other agents, examples include robots, smart sensors, and Web-search software agents.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.


(1) An employee of an inbound call center (sales and service) or an outbound call center (telemarketer). See agent turnover.

(2) A software routine that performs an action continuously or when a specified event occurs. Also called "bots," intelligent agents" and "personal agents." See bot.
Copyright © 1981-2019 by The Computer Language Company Inc. All Rights reserved. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction is strictly prohibited without permission from the publisher.
References in periodicals archive ?
(Suen et al., 2019) Networking with artificial intelligence agents may range from the standard utilization of information technology devices to contacts where individuals grasp an artificial agent as displaying mind.
Although an artificial agent engaging in group interactions can benefit from the ability to represent and identify such flexible and evolving group memberships, the ability to represent flexible group memberships is currently missing from classical AI models of groups.
Akimoto, "Narratives of an artificial agent," in Content Generation Through Narrative Communication and Simulation, Advances in Linguistics and Communication Studies, pp.
The Lovelace Test for machine originality has three values: a = artificial agent, h = human creator, and o = original concept.
What is the relation between intelligence and motivation in an artificial agent? Here we develop two theses.
To implement enhanced Advanced Encryption Standard (AES) algorithm using java programming language, Feedback Artificial Agent (FAA) and Timing Circuit Algorithm (TCA) to monitor encrypted multimedia data on transition.
So, through learning, proposed artificial agent tried to change its behavior, by predicting and understanding the emotions of the interacting person.
Any attempt to design an intelligent artificial agent would have to provide for such non-symbolic representations rather than merely a database of symbol-strings.
We submit that no artificial agent can properly choose unless alternatives are represented explicitly in some analog to consciousness.
Moreover, the example can be seen as a class of problems where we have to reason about a situation which can be viewed as a specific combination of known types of events and processes, each understood by a human expert or modeled by an artificial agent. For example, the way chemicals burn and react, the effects of exposure to toxic fumes, evacuation approaches in hospitals and schools, etc.
In addition to implementing legal concepts and interpretations, it will be useful for an artificial agent to model (at least to some extent) human morality.