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.
References in periodicals archive ?
Is there a way to develop intelligent, artificial agents that are also moral agents--agents that have sufficient autonomy to be held accountable?
Harrison, "Using Stories to Teach Human Values to Artificial Agents," in Proceedings of the 2nd International Workshop on AI, Ethics and Society, Phoenix, Arizona, 2016.
Among the topics are patchy connectivity and visual processing asymmetries: a neurodevelopmental hypothesis, a critique of pure hierarchy: uncovering cross-cutting structure in a natural dataset, implementing the "simple" model of reading deficits: a connectionist investigation of interactivity, and how to design emergent models of cognition for application-driven artificial agents.
Once we are capable of grounding natural language in these games, we can translate utterances into straightforward actions for artificial agents.
Experts say we'll interact with robots and other types of artificial agents, such as avatars, increasingly in the near future - in workplaces, public spaces, and our own homes, as well as in education, health and care settings.
Winning submissions will provide real services that improve people's lives, ranging from hardware to software intelligence and artificial agents.
If we don't teach them how to eat better food, exercise, read and understand food labels, stay away from artificial agents and emulsifiers in food, I think we'll have a far bigger problem than just a generation of fussy eaters," she says, adding that the importance of what we put in our body needs to be imbedded from an early age.
Artificial agents are not morally responsible for their actions.
As human-like artificial agents become more commonplace, perhaps our perceptual systems will be re-tuned to accommodate these new social partners," the researchers write.
These models verify the power of ER technique to explore dynamical mechanisms for behavioral robustness in artificial agents as a systemic process, rather than being insured ' from inside'.
Among specific topics are social network sites as networked publics, social network exploitation, how social network sites affect social capital processes, a typology of social network site usage, motivations for using social network sites and blogs for political information, and artificial agents entering social networks.
This is clearly demonstrated in experiments on flexible word meaning by Wellens (2008) and Wellens, Loetzsch and Steels (2008), in which artificial agents adapt the meaning features of words if this is required for reaching communicative success in certain contexts.