Multiprocessor Architectures Specialized for Multi-agent Simulation

Schäck, Christian; Heenes, Wolfgang; Hoffmann, Rolf

doi:10.1109/ic-nc.2010.34

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…In previous work [26] we have shown how agent simulation can be described and simulated using the GCA (Global Cellular Automata) model [11,12]. Meanwhile we have shown in a current work [28] how the architectures can further be improved to accelerate the simulation speed by the factor 4.8 for a different test application. Other investigations have incorporated the characteristics of CAs (Cellular Automata) to simulate HIV-Immune Interaction Dynamics [37].…”

Section: Related Workmentioning

confidence: 87%

Efficient Traffic Simulation Using Agents within the Global Cellular Automata Model

Schäck

Hoffmann

Heenes

2011

IJNC

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We present a mapping of the well known Nagel-Schreckenberg algorithm for traffic simulation onto the Global Cellular Automata (GCA) model using agents. The GCA model consists of a collection of cells which change their states synchronously depending on the states of their neighbors like in the classical CA (Cellular Automata) model. In contrast to the CA model the neighbors can be freely and dynamically selected at runtime. The vehicles are considered as agents that are modeled as GCA cells. An agent is linked to its agent in front, and an empty cell is linked to its agent behind. In the current generation t the position of an agent is already computed for the generation t+2. Thereby the agents movements and all cell updates can directly be calculated as defined by the cell rule. No searching of specific cells during the computation is necessary. Compared to an optimized CA algorithm (with searching for agents) the GCA algorithm executes significantly faster, especially for low traffic densities and high vehicle speeds. Simulating one lane with a density of 10% on an FPGA multiprocessor system resulted in a speed-up (measured in clock ticks) of 14.75 for a system with 16 NIOS II processors.

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Section: Related Workmentioning

confidence: 87%

Efficient Traffic Simulation Using Agents within the Global Cellular Automata Model

Schäck

Hoffmann

Heenes

2011

IJNC

Self Cite

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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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Multiprocessor Architectures Specialized for Multi-agent Simulation

Cited by 2 publications

References 6 publications

Efficient Traffic Simulation Using Agents within the Global Cellular Automata Model

Efficient Traffic Simulation Using Agents within the Global Cellular Automata Model

Multi-agent pre-trade analysis acceleration in FPGA

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