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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Distributed Artificial Intelligence (I.2.11) > Intelligent Agents (I.2.11...)  
  1-10 of 59 Reviews about "Intelligent Agents (I.2.11...)": Date Reviewed
  Bi-level thresholding: analyzing the effect of repeated errors in gesture input
Katsuragawa K., Kamal A., Liu Q., Negulescu M., Lank E. ACM Transactions on Interactive Intelligent Systems 9(2-3): 1-30, 2019.  Type: Article

Ensuring a proper, easy, and convenient interface between human and machine has been one of the most challenging issues since the first machines were developed. In the beginning, when simple machines responded to direct human hand inte...

Mar 24 2021
  Intelligent systems for geosciences: an essential research agenda
Gil Y., Pierce S., Babaie H., Banerjee A., Borne K., Bust G., Cheatham M., Ebert-Uphoff I., Gomes C., Hill M., Horel J., Hsu L., Kinter J., Knoblock C., Krum D., Kumar V., Lermusiaux P., Liu Y., North C., Pankratius V., Peters S., Plale B., Pope A., Ravela S., Restrepo J., Ridley A., Samet H., Shekhar S. Communications of the ACM 62(1): 76-84, 2019.  Type: Article

This article, by 28 authors from as many institutions, announces the creation of, and research agenda for, a new National Science Foundation (NSF)-funded Research Coordination Network on Intelligent Systems for Geosciences. The goal of...

Mar 28 2019
  A scalable preference model for autonomous decision-making
Peters M., Saar-Tsechansky M., Ketter W., Williamson S., Groot P., Heskes T. Machine Learning 107(6): 1039-1068, 2018.  Type: Article

In some consumer markets, prices are determined by the limited availability of goods and customers choose from a small set of options. The outcome is often determined by simple tradeoffs between the most critical attributes....

Oct 12 2018
  Cyber security and the role of intelligent systems in addressing its challenges
Harel Y., Ben-Gal I., Elovici Y. ACM Transactions on Intelligent Systems and Technology 8(4): 1-12, 2017.  Type: Article

Individuals, organizations, and societies have come to rely more and more on computational infrastructure, ranging from our personal computing devices to cloud computing and the Internet of Things (IoT)....

Nov 8 2017
  Application of intelligent agents in health-care: review
Iqbal S., Altaf W., Aslam M., Mahmood W., Khan M. Artificial Intelligence Review 46(1): 83-112, 2016.  Type: Article

Along with the successful use of intelligent agents in the healthcare domain, researchers have been motivated to study the application of software engineering knowledge in this field....

Nov 3 2016
  Wanted: collaborative intelligence
Epstein S. Artificial Intelligence 221(C): 36-45, 2015.  Type: Article

In this position paper, author Susan Epstein reasons about how society and academia view artificial intelligence (AI), aiming to challenge and inspire research. Although her ideas are not new, she touches on a point constantly discusse...

Oct 7 2015
  An emotion understanding framework for intelligent agents based on episodic and semantic memories
Kazemifard M., Ghasem-Aghaee N., Koenig B., Ören T. Autonomous Agents and Multi-Agent Systems 28(1): 126-153, 2014.  Type: Article

A computational model that aims to endow intelligent software agents with the capability to understand emotions is the focus of this paper....

Mar 26 2015
  CGrAnt: a swarm intelligence-based routing protocol for delay tolerant networks
Vendramin A., Munaretto A., Delgado M., Viana A.  GECCO 2012 (Proceedings of the 14th International Conference on Genetic and Evolutionary Computation, Philadelphia, PA, Jul 7-11, 2012) 33-40, 2012.  Type: Proceedings

All delay-tolerant networks (DTNs) suffer from a shortcoming: they are unable to sustain continuous connectivity between neighboring nodes. The problem of successful message forwarding in such networks is analogous to obtaining multipl...

Oct 29 2012
  Artificial intelligence: foundations of computational agents
Poole D., Mackworth A., Cambridge University Press, New York, NY, 2010. 688 pp.  Type: Book (978-0-521519-00-7)

Would you like to create an intelligent agent that can interact autonomously with its environment and learn to improve its interactions? If so, how would you go about it? The answer lies in the field of artificial intelligence (AI). Ab...

Jan 21 2011
  Monitoring complex environments using a knowledge-driven approach based on intelligent agents
Albusac J., Vallejo D., Castro-Schez J., Remagnino P., Gonzalez C., Jimenez L. IEEE Intelligent Systems 25(3): 24-31, 2010.  Type: Article

The general problem addressed in this paper is how to provide intelligence surveillance in an environment that consists of complex scenes. In an intelligent surveillance system, events of interest must be recognized and complex environ...

Oct 1 2010
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