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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Distributed Artificial Intelligence (I.2.11)  
 
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  1-10 of 225 Reviews about "Distributed Artificial Intelligence (I.2.11)": Date Reviewed
  Knowledge management for self-organised resource allocation
Kurka D., Pitt J., Ober J. ACM Transactions on Autonomous and Adaptive Systems 14(1): 1-41, 2019.  Type: Article

Social systems are mainly controlled self-organizing systems dependent on participation and cooperation. The complexity of the social world needs continuous redesigns of these systems toward functional self-organizing systems. It also ...

Jun 10 2021
  Data-parallel structural optimisation in agent-based models
Husselmann A. ACM SIGEVOlution 7(2-3): 33-36, 2020.  Type: Article

Modeling is a tool for studying a natural phenomenon. The accuracy of such a model depends on how well the model mimics the behavior of the system under study....

Apr 16 2021
  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
  Local distance restricted bribery in voting
Dey P.  AAMAS 2019 (Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, Montreal, QC, Canada, May 13-17, 2019) 1925-1927, 2019.  Type: Proceedings

The bribery problem asks whether there exists an appropriate-“cost” collection of voters in an election such that, if one strategically changes their votes, one’s favored candidate will win. In that model,...

Jul 6 2020
  Manipulative design of scoring systems
Baumeister D., Hogrebe T.  AAMAS 2019 (Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, Montreal, QC, Canada, May 13-17, 2019) 1814-1816, 2019.  Type: Proceedings

Scoring systems, where each candidate gets a number of points from each voter based on the candidate’s position in the voter’s vote, are the most important broad class of voting rules. For example, plurality electio...

Apr 28 2020
  Formation control: approaches for distributed agents
Ahn H., Springer International Publishing, New York, NY, 2019. 360 pp.  Type: Book (978-3-030151-86-7)

The study of autonomous systems such as drones is an “emerging field in network science and engineering.” In the future, these systems need to cooperatively operate without collision, communicating with each other &...

Apr 16 2020
  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
  Artificial intelligence: foundations of computational agents (2nd ed.)
Poole D., Mackworth A., Cambridge University Press, New York, NY, 2017. 760 pp.  Type: Book (978-1-107195-39-4)

Artificial intelligence (AI) can be defined as the study of the design of intelligent computational agents. Unfortunately, this is a recursive definition caused by the lack of a consensus on what intelligence really means. In the past,...

Jan 23 2018
  Detecting and resolving deadlocks in mobile agent systems
Yang Y., Lu W., Xing W., Wang L., Che X., Chen L. Journal of Visual Languages and Computing 42 23-30, 2017.  Type: Article

A mobile agent is a software abstraction that moves across a computer network performing various tasks for end users. For example, on a cellular network system, a mobile agent can be deployed to a remote server to monitor weather data ...

Jan 10 2018
 
 
 
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