Multi-agent stochastic simulation of occupants for building simulation
This paper introduces a new general platform for the simulation of occupants' presence and behaviours. Called No-MASS (Nottingham Multi-Agent Stochastic Simulation platform) the platform takes a selection of well validated stochastic models to generate a synthetic population of agents, predicts...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
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2017
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| Online Access: | https://eprints.nottingham.ac.uk/48924/ |
| _version_ | 1848797880181063680 |
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| author | Chapman, Jacob Siebers, Peer-Olaf Robinson, Darren |
| author_facet | Chapman, Jacob Siebers, Peer-Olaf Robinson, Darren |
| author_sort | Chapman, Jacob |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper introduces a new general platform for the simulation of occupants' presence and behaviours. Called No-MASS (Nottingham Multi-Agent Stochastic Simulation platform) the platform takes a selection of well validated stochastic models to generate a synthetic population of agents, predicts their presence and, in the case of residences also their activities and inferred locations, as well as their use of windows, lights and blinds. A social interaction framework is used to emulate negotiations amongst the members of diverse populations. Furthermore, machine learning techniques allow the agents to learn dynamic behaviours that maximise energy and/ or comfort rewards. This is complemented by a belief-desire-intent framework for the representation of less sophisticated behaviours for which data is scarce. Using the Functional Mockup Interface (FMI) co-simulation standard No-MASS is coupled with EnergyPlus: EnergyPlus parses environmental parameters to No-MASS which in turns parses back the energetic consequences of agents behaviours. Simulations demonstrating the range of results that No-MASS can produce are undertaken and presented. |
| first_indexed | 2025-11-14T20:10:54Z |
| format | Conference or Workshop Item |
| id | nottingham-48924 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:10:54Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-489242020-05-04T18:59:41Z https://eprints.nottingham.ac.uk/48924/ Multi-agent stochastic simulation of occupants for building simulation Chapman, Jacob Siebers, Peer-Olaf Robinson, Darren This paper introduces a new general platform for the simulation of occupants' presence and behaviours. Called No-MASS (Nottingham Multi-Agent Stochastic Simulation platform) the platform takes a selection of well validated stochastic models to generate a synthetic population of agents, predicts their presence and, in the case of residences also their activities and inferred locations, as well as their use of windows, lights and blinds. A social interaction framework is used to emulate negotiations amongst the members of diverse populations. Furthermore, machine learning techniques allow the agents to learn dynamic behaviours that maximise energy and/ or comfort rewards. This is complemented by a belief-desire-intent framework for the representation of less sophisticated behaviours for which data is scarce. Using the Functional Mockup Interface (FMI) co-simulation standard No-MASS is coupled with EnergyPlus: EnergyPlus parses environmental parameters to No-MASS which in turns parses back the energetic consequences of agents behaviours. Simulations demonstrating the range of results that No-MASS can produce are undertaken and presented. 2017-08-07 Conference or Workshop Item PeerReviewed Chapman, Jacob, Siebers, Peer-Olaf and Robinson, Darren (2017) Multi-agent stochastic simulation of occupants for building simulation. In: Building Simulation 2017, 15th IBPSA Conference, 7-9 August 2017, San Francisco, CA, USA. Multi-Agent Simulation; Occupant Behaviour Modelling; Built Environment; No-MASS http://www.ibpsa.org/proceedings/BS2017/BS2017_051.pdf |
| spellingShingle | Multi-Agent Simulation; Occupant Behaviour Modelling; Built Environment; No-MASS Chapman, Jacob Siebers, Peer-Olaf Robinson, Darren Multi-agent stochastic simulation of occupants for building simulation |
| title | Multi-agent stochastic simulation of occupants for building simulation |
| title_full | Multi-agent stochastic simulation of occupants for building simulation |
| title_fullStr | Multi-agent stochastic simulation of occupants for building simulation |
| title_full_unstemmed | Multi-agent stochastic simulation of occupants for building simulation |
| title_short | Multi-agent stochastic simulation of occupants for building simulation |
| title_sort | multi-agent stochastic simulation of occupants for building simulation |
| topic | Multi-Agent Simulation; Occupant Behaviour Modelling; Built Environment; No-MASS |
| url | https://eprints.nottingham.ac.uk/48924/ https://eprints.nottingham.ac.uk/48924/ |