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Blending role-playing games and computer agent-based Simulation to share representations of complex socio-ecosystems with local stakeholders

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Academic year: 2021

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Blending role-playing games and

computer agent-based simulation

to share representations

of socio-ecosystems

Blending role-playing games and

computer agent-based simulation

to share representations

of socio-ecosystems

of socio-ecosystems

with local stakeholders

of socio-ecosystems

with local stakeholders

Christophe LE PAGE CIRAD

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An adaptive process driven by participants

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Real World

Domain Model

ABM and RPG are artefacts representing the real world as a Multi-Agent System

Conceptual Model Multi-Agent System

Simulation Model based on Virtual Agents

Simulation Model based on Human Agents (Players)

Agent-Based Model Role-Playing Game

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What can agents do, practically?

1. Perceiving their environment

(incl. other agents)

2. Performing via a set of behaviours

• Motion

• Communication

Dricol ABM

• Communication

• Action on their environment

3. Memorizing

record of previous states and actions

4. Making decisions (policy): set of rules, heuristics or

strategies that determines, given their present situation and history, what behaviours they will now carry out

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Nature of the

decision 100% human Intermediate

100% computerised

Various types of computational agents

Typology of computational agents human agent = player simple composite agent hybrid composite agent computerised agent = virtual agent no avatar non-decision-making avatar partial decision-making avatar autonomous avatar

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ReHab, a RPG to convey a message: participatory modelling and simulation

as a platform for communication

Biomass level

ReHab game board 2 roles: Harvester and Park Manager

Harvesting clan:

• each clan controls up to four harvesters • objective: maximizing the ‘resource’

0

1 2 3

level

Each green square holds some

resource biomass, the darker the more. The resource has a specific renewing

process (hidden rule).

• objective: maximizing the ‘resource’ harvest by the end of the game

Park Manager:

• one pair of players

• objective: preserving the breeding ground of an endangered migratory bird

2 scenarios of 5 rounds

Individual:(no communication) Collective (free discussion)

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ReHab Round 1 Decisions (synchronous & anonymous)

Visualisation (private)

Results (private) Visualisation

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Rehab Replay - Round 1

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Rehab Replay - Round 2

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Rehab Replay - Round 3

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Rehab Replay - Round 4

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Rehab Replay - Round 5

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Coordination at work

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Results are driven

by the way players communicate

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Radi: facilitating the understanding of grazing land conflict in Bhutan

Merak Yak Herders

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Radi: the collective design of a shared representation

Very active farmer player from Radi proposes that extreme plot should be the best grazing

Merak lady

proposes two plots empty (or poorest grazing resource) as they represent be the best grazing

plot as it belongs to the owner in reality

as they represent degraded area in the grazing land

barren (degraded) poor medium good State of resource Bowshey Sheythemi Lhamshisha Kolaphu Tongling Daktshi

Red Box with Names represents tentative location of parcels of grazing land in the upper catchment of Radi

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Radi: individual then collective scenarios

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Nam Haen: conflict between villagers and a National Parc in Thailand

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Nam Haen: a unique conceptual model to represent the system…

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…various versions and modes of use of its implementation

Computer simulation

RPG1

RPG1 replay

In each village,

promote discussion among 12 farmers playing their own role

To explore and discuss the scenarios identified

Showcase to National Park officers the

principles and the RPG and the outputs of the 2 gaming sessions

RPG1 replay

Hybrid computer simulation

In each village, enlarge the group of involved farmers to disseminate information to a larger audience

RPG2

All the stakeholders together are able to talk about hot issues and to envision possible

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Some lessons

Existence of patterned behaviours in RPG

[SylvoPast]

http://jasss.soc.surrey.ac.uk/6/2/5.html

RPG proved to be an effective mean to elicit knowledge from local stakeholders and embark them in the collaborative design of a computer simulation model. Along the journey, it

is fostering their critical thinking by enabling reflexive thoughts about their perceptions and practices

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