Agent

<p>Class representing an Agent object for dictating policy through time and
storing value function (that maps states of the model to actions).</p>
<p>See <code><a rd-options="" href="/link/Simulation?package=OpenABMCovid19&version=1.0.1" data-mini-rdoc="OpenABMCovid19::Simulation">Simulation</a></code> for examples.</p>


OpenABM-Covid19 is an agent-based model (ABM) developed to simulate the spread
of COVID-19 in a city and to analyse the effect of both passive and active
intervention strategies. Interactions between individuals are modelled on
networks representing households, work-places and random contacts. The
infection is transmitted between these contacts and the progression of the
disease in individuals is modelled. Instantaneous contract-tracing and
quarantining of contacts is modelled allowing the evaluation of the design and
configuration of digital contract-tracing mobile phone apps.
Robert Hinch, William J M Probert, et al. (2020) <doi:10.1101/2020.09.16.20195925>.

Oli Legat

OpenABMCovid19

Agent-Based Model for Modelling the COVID-19

Robert Hinch

Will Probert

Ana Bulas Cruz

Andrea Stewart

Anel Nurtay

Anthony Finkelstein

Ares Meroueh

Arun Lobo

Bryn Mathias

Chris Wymant

Christophe Fraser

Daniel Montero

David G Bonsall

Evan Blumgart

Feifan Chen

Felix Breuer

James Lockyer

James Warren

Katrina Lythgoe

Kelvin Van Vurren

Lele Zhao

Luca Ferretti

Lucie Abeler-D<c3><b6>rner

Matthew Abueg

Matthew Hall

Michelle Kendall

Neo Wu

Nicole Mather

Ross Boylan

Scott Stevenson

Setrak Balian

feldnerd 

mattea 

neozwu 

rory-improbable 

Agent function

<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/Agent%24new()?package=OpenABMCovid19&version=1.0.1" data-mini-rdoc="OpenABMCovid19::Agent$new()"><code>Agent$new()</code></a></p></li>
<li><p><a href="/link/Agent%24start_simulation()?package=OpenABMCovid19&version=1.0.1" data-mini-rdoc="OpenABMCovid19::Agent$start_simulation()"><code>Agent$start_simulation()</code></a></p></li>
<li><p><a href="/link/Agent%24step()?package=OpenABMCovid19&version=1.0.1" data-mini-rdoc="OpenABMCovid19::Agent$step()"><code>Agent$step()</code></a></p></li>
</ul>
</p><p></p><h3>Method <code>new()</code></h3><p></p><p></p><h3>Usage</h3><p></p><p><pre>Agent$new(verbose = FALSE)</pre></p><p></p><h3>Arguments</h3><p></p><p><dl class="dl-horizontal">
<dt><code>verbose</code></dt><dd><p>Log verbosity.</p></dd>
</dl></p><p></p><p></p><h3>Method <code>start_simulation()</code></h3><p></p><p>Initialize the Agent object for the start of a simulation/
</p><h3>Usage</h3><p></p><p><pre>Agent$start_simulation(state)</pre></p><p></p><h3>Arguments</h3><p></p><p><dl class="dl-horizontal">
<dt><code>state</code></dt><dd><p>Initial state.</p></dd>
</dl></p><p></p><h3>Returns</h3><p></p><p>An action.</p><p></p><p></p><h3>Method <code>step()</code></h3><p></p><p>Method called at the start of each simulation
</p><h3>Usage</h3><p></p><p><pre>Agent$step(state)</pre></p><p></p><h3>Arguments</h3><p></p><p><dl class="dl-horizontal">
<dt><code>state</code></dt><dd><p>New state.</p></dd>
</dl></p><p></p><h3>Returns</h3><p></p><p>Should return an action (current an empty dict).</p>

Methods

<p>Class representing an Agent object for dictating policy through time and
storing value function (that maps states of the model to actions).</p>
<p>See <code><a rd-options='' href='Simulation'>Simulation</a></code> for examples.</p>

R6Class Agent — Agent

R6Class Agent

Agent: R6Class Agent

Description

Arguments

Methods

Public methods

Method `new()`

Usage

Arguments

Method `start_simulation()`

Usage

Arguments

Returns

Method `step()`

Usage

Arguments

Returns

Description

Arguments

Methods

Public methods

Method new()

Usage

Arguments

Method start_simulation()

Usage

Arguments

Returns

Method step()

Usage

Arguments

Returns

Method `new()`

Method `start_simulation()`

Method `step()`