A game theoretical model for collaborative groups in social applications

Al-Dhanhani, Ahmed; Mizouni, Rabeb; Otrok, Hadi; Alrubaie, Ahmad

doi:10.1016/j.eswa.2014.02.050

Cited by 17 publications

(10 citation statements)

References 11 publications

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“…A third, collateral benefit to modelling is being able to identify connections and parallels with other lines of work. Credit is due to one of the anonymous reviewers for the insight that there is a close connection between parasitism and free-riding, both inter-and intra-organizational, as found in attempts at group collaborationand characteristically modelled with game theory (Al-Dhanhani et al, 2014). This shows how collaboration is impeded in various ways by behaviour that appears to be parasiticin the sense that one entity (individual or organizational) exploits a resource properly belonging to another, or fails to share collaboratively useful informational resources (Bendoly, 2014).…”

Section: Insights Provided By the Modelmentioning

confidence: 99%

The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting

Busby

2019

European Journal of Operational Research

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The primary concern in the resource-based view of the firm has been competition. For many firms, however, the relevant ecology includes parasites as well as competitorsnotably product counterfeiters who parasitically exploit a firm's reputational resource. This parasitic process both diminishes the reputational resource it exploits, and produces significant risk of harm as a by-product. This article extends the resource-based view, presenting an account of the mechanism by which competition and parasitism co-evolve and produce a distinctive form of resource erosion. It does so using a model which, because a firm's reputational resource exists distributedly in the minds of mutually-influencing but not centrally-coordinated consumers, takes an agent-based approach. This model then naturally forms a basis for the probabilistic risk assessment of the consequences of parasitismparticularly the harm that arises from the counterfeiting of safety critical products such as pharmaceuticals. The intended contribution is to show how the resource-based view can be extended to reflect the fact that heterogeneous resource distribution is implicated in parasitism as much as competition, and to show how a model of the underlying mechanisms can support risk analysis.

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Section: Insights Provided By the Modelmentioning

confidence: 99%

The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting

Busby

2019

European Journal of Operational Research

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“…Sun et al (2012) put forward a framework based on cooperative game theory to evaluate the power of the feature and then developed a general filter the feature selection scheme. Al-Dhanhani, Mizouni, Otrok, and Al-Rubaie (2014) model to handle the free riding behavior in educational social application using game theory. Deng et al (2014) proposed an evidential game theory framework to address the multi-criteria decision making process in the competitive environment.…”

Section: Introductionmentioning

confidence: 99%

Group decision making with fuzzy linguistic preference relations via cooperative games method

Tao

Liu

Chen

2015

Computers & Industrial Engineering

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“…However, while the common expectation is that a group of players will regularly perform better than a single player, groups rarely perform as well as their best player would have performed individually and it is seldom feasible for such a player to be charged with all of the responsibility, information gathering and processing, and decision-making of the group (Linehan et al 2009). Some players within the team will also free ride (Al-Dhanhani et al 2014), giving less than their best effort, and where opportunity exists to change teams, backstabbing (Zagal 2006) becomes an issue, whereby players defect at opportune moments. Consequently, no matter how well matched a team is, not all players will be performing and engaging equally and optimally.…”

Section: Introductionmentioning

confidence: 99%

Reflective agents for personalisation in collaborative games

2018

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The collaborative aspect of games has been shown to potentially increase player performance and engagement over time. However, collaborating players need to perform well for the team as a whole to benefit and thus teams often end up performing no better than a strong player would have performed individually. Personalisation offers a means for improving overall performance and engagement, but in collaborative games, personalisation is seldom implemented, and when it is, it is overwhelmingly passive such that the player is not guided to goal states and the effectiveness of the personalisation is not evaluated and adapted accordingly. In this paper, we propose and apply the use of reflective agents to personalisation ('reflective personalisation') in collaborative gaming for individual players within collaborative teams via a combination of individual player and team profiling in order to improve player and thus team performance and engagement. The reflective agents self-evaluate, dynamically adapting their personalisation techniques to most effectively guide players towards specific goal states, match players and form teams. We incorporate this agent-based approach within a microservices architecture, which itself is a set of collaborating services, to facilitate a scalable and portable approach that enables both player and team profiles to persist across multiple games. An experiment involving 90 players over a two-month period was used to comparatively assess three versions of a collaborative game that implemented reflective, guided, and passive personalisation for individual players within teams. Our results suggest that the proposed reflective personalisation approach improves team player performance and engagement within collaborative games over guided or passive personalisation approaches, but that it is especially effective for improving engagement.

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A game theoretical model for collaborative groups in social applications

Cited by 17 publications

References 11 publications

The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting

The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting

Group decision making with fuzzy linguistic preference relations via cooperative games method

Reflective agents for personalisation in collaborative games

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