Towards a bounded-rationality model of multi-agent social learning in games

Hemmati, Mahdi; Sadati, N.; Nili, Masoud

doi:10.1109/isda.2010.5687277

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…Perfect nationality assumption is not applicable in real-world situations, (iii) equilibria concept has mostly been developed in a static setting. Therefore, traditional approach cannot capture the adaptation of players to change their strategies and reach equilibrium over time, and (iv) equilibria concept does not take computational costs-it needs huge computational overheads [15,16].…”

Section: Behavioral Learning Equilibriummentioning

confidence: 99%

Behavioral learning game for socio-physical IoT connections

Kim

2016

J Wireless Com Network

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Game theory is an innovative idea to understanding human behaviors from economics to political science. However, due to the bounded rationality of game players, game theory alone cannot fully explain human behavior and should complement other key concepts championed by the behavioral disciplines. This paper provides a foundation for decision-making process from the viewpoint of game theory and behavioral science approach. First, we develop a new behavioral learning game model to examine how bounded rationality is exhibited in the game player's cognitive capabilities. Second, we apply the developed game model to operate the socio-physical Internet of Things (IoT) system. Finally, we study how to effectively negotiate between players who, though interested in their own welfare, are also willing to consider other players in the IoT system. The main contribution of our work lies in the fact that we shed some new light on the interplay between the game player's selfishness and the public interest. We believe that our approach will open a new door to exploring the impact of social behavior on networking.

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Section: Behavioral Learning Equilibriummentioning

confidence: 99%

Behavioral learning game for socio-physical IoT connections

Kim

2016

J Wireless Com Network

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“…Usually, social networks provide a platform to facilitate communications and resource sharing between users while modeling real-world relationships. Therefore, a variety of social network services have extended beyond simple communication among users [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Dynamic social cloud management scheme based on transformable Stackelberg game

Kim

2016

J Wireless Com Network

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With the ubiquitous nature of social networks and cloud computing, we are starting to explore a new way to interact with and exploit these developing paradigms. Social cloud (SC) is a service or resource sharing framework on top of social networks and built on the trust-based social relationships. In recent years, the idea of SC has been gaining importance because of its potential applicability. This article introduces a novel SC management scheme with a view of game theory model and reciprocal resource sharing mechanism. In particular, we devise a new transformable Stackelberg game to coordinate the interdependence between social structure and resource availability for individual users. Our proposed scheme constantly monitors the current SC system conditions and adaptively exploits the available resources while ensuring mutual fairness. The simulation results show that the proposed method is effective in distributed SC environments and adaptively supports application executions timely and ubiquitously.

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“…There are different action selection mechanisms [64] which select the actions based on the Q−values. The Q−values, Q(s, a) of any given state reflects the effectiveness of the action , with higher values corresponding to better actions.…”

Section: Explorationmentioning

confidence: 99%

A Multi-Agent Design for Power Distribution Systems Automation

Ghorbani¹

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A new Multi Agent System (MAS) design for fault location, isolation and restoration in power distribution systems is presented. In proposed approach, when there is a fault in the Power Distribution System (PDS), MAS quickly isolates the fault and restores the service to fault-free zones. Hierarchical coordination strategy is introduced to manage the agents which integrate the advantages of both centralized and decentralized coordination strategies. In this framework, Zone Agent (ZA) locate and isolate the fault based on the locally available information and assist the Feeder Agent (FA) for reconfiguration and restoration. FA can solve the restoration problem using the existing algorithms for the 0-1 Knapsack problem. A novel Q-learning mechanism is also introduced to support the FAs in decision making for restoration. Also a distributed MAS-Based Load Shedding (LS) technique has been used to supply as many of higher priority customers as possible, in case there is more demand than generation. The design is illustrated by the use of simulation case studies for fault location, isolation and restoration on West Virginia Super Circuit (WVSC) and hardware implementation for fault location and isolation in a laboratory platform. The results from the case studies indicate the performance of proposed MAS designs. " I've missed more than 9000 shots in my career. I've lost almost 300 games. 26 times I've been trusted to take the game winning shot and missed. I've failed over and over and over again in my life. And that is why I succeed. "

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Towards a bounded-rationality model of multi-agent social learning in games

Cited by 3 publications

References 26 publications

Behavioral learning game for socio-physical IoT connections

Behavioral learning game for socio-physical IoT connections

Dynamic social cloud management scheme based on transformable Stackelberg game

A Multi-Agent Design for Power Distribution Systems Automation

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