A Service Request Acceptance Model for Revenue Optimization - Evaluating Policies Using a Web Based Resource Management Game

Püschel, Tim; Lang, Fabian; Bodenstein, Christian; Neumann, Dirk

doi:10.1109/hicss.2010.32

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…The term serious games is not confined to education [127]: so-called business games were already proposed for research in the 1960s (e.g., [128]) and 1970s (e.g., [129]). It is safe to say that these games have been analysed from many different perspectives, both negative (e.g., aggression, violence or gender stereotyping) and positive (e.g., skills development, engagement or motivation) [130].…”

Section: Psychology and Computer Gamesmentioning

confidence: 99%

Designing Behavioural Artificial Intelligence to Record, Assess and Evaluate Human Behaviour

Hildmann

2018

MTI

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The context of the work presented in this article is the assessment and automated evaluation of human behaviour. To facilitate this, a formalism is presented which is unambiguous as well as such that it can be implemented and interpreted in an automated manner. In the greater scheme of things, comparable behaviour evaluation requires comparable assessment scenarios and, to this end, computer games are considered as controllable and abstract environments. Within this context, a model for behavioural AI is presented which was designed around the objectives of: (a) being able to play rationally; (b) adhering to formally stated behaviour preferences; and (c) ensuring that very specific circumstances can be forced to arise within a game. The presented work is based on established models from the field of behavioural psychology, formal logic as well as approaches from game theory and related fields. The suggested model for behavioural AI has been used to implement and test a game, as well as AI players that exhibit specific behavioural preferences. The overall aim of this article is to enable the readers to design their own AI implementation, using the formalisms and models they prefer and to a level of complexity they desire.

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Section: Psychology and Computer Gamesmentioning

confidence: 99%

Designing Behavioural Artificial Intelligence to Record, Assess and Evaluate Human Behaviour

Hildmann

2018

MTI

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“…Only the examples documented by Puschel, Lang, Bodenstein, and Neumann (2010) and by Cleophas (2012a) indicate existing approaches: Whereas Puschel, Lang, Bodenstein, and Neumann (2010) uses the implementation as a serious game to realistically model consumer response and evaluate the success of policies, the simulation system described in Cleophas (2012a) compares the success of policies generated by human players given constant consumer demand.…”

Section: Simulation Modeling For Revenue Managementmentioning

confidence: 99%

Designing serious games for revenue management training and strategy development

Cleophas¹

2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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This paper proposes a framework for the design of serious games in the area of revenue management. At this time, there is little systematic consideration of simulation-based serious games and their set-up available in this field. The suggested framework regards games as structured in three layered stages and explicates decisions influencing their design and focus. These decisions are structured according to five aspects: concurrence, conditions, cognizance, cooperation and competition. Revenue management provides a particular challenge as its success depends not only on the customer choice, competition and sophisticated operations research algorithms, but also on analysts' understanding. Simulation systems are a well-known tool for the evaluation of revenue management approaches in research and practice and can easily be extended for use in serious games. The framework introduced here can be used for future evaluations of alternative designs of serious games aiming to improve revenue management understanding and strategy evaluation.

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Origin of Games

Hildmann,

Hildmann

2024

Encyclopedia of Computer Graphics and Games

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A Service Request Acceptance Model for Revenue Optimization - Evaluating Policies Using a Web Based Resource Management Game

Cited by 6 publications

References 25 publications

Designing Behavioural Artificial Intelligence to Record, Assess and Evaluate Human Behaviour

Designing Behavioural Artificial Intelligence to Record, Assess and Evaluate Human Behaviour

Designing serious games for revenue management training and strategy development

Origin of Games

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