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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Distributed Artificial Intelligence (I.2.11) > Multiagent Systems (I.2.11...)  
  1-10 of 171 Reviews about "Multiagent Systems (I.2.11...)": Date Reviewed
  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
  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, each voter comes with a...

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 elections are scoring syste...

Apr 28 2020
  A metamodeling approach for the identification of organizational smells in multi-agent systems: application to ASPECS
Araujo P., Rodríguez S., Hilaire V.  Artificial Intelligence Review 49(2): 183-210, 2018. Type: Article

The concept of a code smell is defined as representing a potential problem within a system, typically a programming design system. The idea of a code smell was introduced in 1999 with a list of 22 low-level code smells and an associated descriptio...

May 18 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, it could re...

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 and report b...

Jan 10 2018
  A multiagent, dynamic rank-driven multi-deme architecture for real-valued multiobjective optimization
Acan A., Lotfi N.  Artificial Intelligence Review 48(1): 1-29, 2017. Type: Article

Solutions for multiobjective optimization problems find use in architectures that support parallel processing. A new method proposed by Acan and Lotfi is seen to dominate over most other optimization solutions, as is the case with a typical Pareto...

Nov 1 2017
  Fast rendezvous on a cycle by agents with different speeds
Feinerman O., Korman A., Kutten S., Rodeh Y.  Theoretical Computer Science 688 77-85, 2017. Type: Article

Feinerman et al. provide illustrations concerned with the usefulness of different processing speeds and asynchrony of tasks of the operating agents in distributed computing systems. To investigate the rendezvous (meeting point) problem, a cycle to...

Oct 16 2017
  Introducing the oscillations based paradigm: the simulation of agents and social systems
Plikynas D.,  Springer International Publishing, New York, NY, 2016. 325 pp. Type: Book (978-3-319390-39-0)

OSIMAS is based on three conceptual models: the oscillating agent model (OAM), the wave-like interaction mechanism (WIM), and the pervasive information field (PIF). This book has been prepared and produced as one of the results of the OSIMAS resea...

Sep 20 2017
  Markov chain aggregation for agent-based models
Banisch S.,  Springer International Publishing, New York, NY, 2015. 195 pp. Type: Book (978-3-319248-75-2)

Most techniques for modeling dynamic systems fall into one of two categories. Equation-based models such as system dynamics and other differential equation formalisms seek a closed-form expression for the overall dynamics, but typically characteri...

Jul 12 2017
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