update_belief: Update belief state

In conservation-decisions/smsPOMDP: POMDP problem solver: When to stop managing or surveying cryptic threatened species ?

Description

Computes the following belief state given the current belief state, transition and observation matrices, the observation and the action

Usage

update_belief(state_prior, transition, observation, z0, a0)

Arguments

state_prior	Initial belief state, vector of 2 values (belief state extant and extinct), between 0 and 1.
transition	Transition matrix between states, can be computed using tr
observation	observation matrix for each action, can be computed using obs
z0	Observation, integer (1 for seen, 2 for not seen)
a0	Prior action, integer (1 for manage, 2 for survey, 3 for stop)

Value

Vector of 2 components : extant and extinct probabilities

Author(s)

Luz Pascal

Examples

## Not run: 
#values for Sumatran tigers
pen <- 0.1
p0 <- 1-pen
pem <- 0.05816
pm <- 1 - pem
V <- 175.133
Cm <- 18.784
Cs <- 10.840
d0 <- 0.01
dm <- 0.01
ds <- 0.78193

#buiding the matrices of the problem
t <- smsPOMDP::tr(p0, pm, d0, dm, ds, V, Cm, Cs) #transition matrix
o <- smsPOMDP::obs(p0, pm, d0, dm, ds, V, Cm, Cs)#observation matrix
r <- smsPOMDP::rew(p0, pm, d0, dm, ds, V, Cm, Cs)#reward matrix

state_prior <- c(1,0)

z0 = 2 #Not seen
a0 = 1 #manage
update_belief(state_prior, t, o, z0, a0)

## End(Not run)

conservation-decisions/smsPOMDP documentation built on Oct. 27, 2020, 10:44 p.m.