An Agent Based Trading Game for Risk Adversity Level Estimation

Pandey, Pawan; Hemant, Sambatur; Khanh, Doan Van

doi:10.1109/socpar.2009.34

2009 International Conference of Soft Computing and Pattern Recognition 2009

DOI: 10.1109/socpar.2009.34

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An Agent Based Trading Game for Risk Adversity Level Estimation

Pawan Pandey

Sambatur Hemant

Doan Van Khanh

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2014

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Cited by 2 publications

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“…As the population of chromosomes evolves, the overall fitness improves, finally converging towards the solutions that are either optimal or close to optimal. For more details of memetic algorithm, readers can refer to[4,5].Memetic algorithms have been applied to optimization problems like logistic management, portfolio optimization[8], database optimization[9], etc. Here, the memetic approach is used to optimize total scanning time for a swarm of UAVs deployed to comb a region defined by a given polygonal plane.…”

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confidence: 99%

Memetic technique for multiple unmanned aerial vehicles

Khanh¹

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mentioning

confidence: 99%

Memetic technique for multiple unmanned aerial vehicles

Khanh¹

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Multi-agent pre-trade analysis acceleration in FPGA

Gerlein

McGinnity

Belatreche

et al. 2014

2014 IEEE Conference on Computational Intelligence for Financial Engineering &Amp; Economics (CIFEr)

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Background: Cognitive Muscular TherapyTM (CMT) is an integrated behavioural intervention developed for knee osteoarthritis. CMT teaches patients to reconceptualise the condition, integrates muscle biofeedback and aims to reduce muscle overactivity, both in response to pain and during daily activities. This nested qualitative study explored patient and physiotherapist perspectives and experiences of CMT.Methods: Five physiotherapists were trained to follow a well-defined protocol and then delivered CMT to at least two patients with knee osteoarthritis. Each patient received seven individual clinical sessions and was provided with access to online learning materials incorporating animated videos. Semi-structured interviews took place after delivery/completion of the intervention and data were analysed at the patient and physiotherapist level.Results: Five physiotherapists and five patients were interviewed. All described a process of changing beliefs throughout their engagement with CMT. A framework with three phases was developed to organise the data according to how osteoarthritis was conceptualised and how this changed throughout their interactions with CMT. Firstly, was an identification of pain beliefs to be challenged and recognition of how current beliefs can misalign with daily experiences. Secondly was a process of challenging and changing beliefs, validated through new experiences. Finally, there was an embedding of changed beliefs into self-management to continue with activities. Conclusion:This study identified a range of psychological changes which occur during exposure to CMT. These changes enabled patients to reconceptualise their condition, develop a new understanding of their body, understand psychological processes, and make sense of their knee pain.

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An Agent Based Trading Game for Risk Adversity Level Estimation

Cited by 2 publications

References 10 publications

Memetic technique for multiple unmanned aerial vehicles

Memetic technique for multiple unmanned aerial vehicles

Multi-agent pre-trade analysis acceleration in FPGA

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