Index

A

A (class in plexsim.models.test), [1], [2], [3] AB (class in plexsim.models.ab), [1], [2], [3] add_bb() (plexsim.utils.visualisation.GraphAnimation method), [1] add_edge() (plexsim.models.adjacency.Adjacency method), [1], [2], [3] (plexsim.models.base.Model method), [1], [2], [3] add_rule_graph() (plexsim.utils.visualisation.GraphAnimation static method), [1] add_rule_igraph() (plexsim.utils.visualisation.GraphAnimation method), [1] adj (plexsim.models.adjacency.Adjacency attribute), [1], [2], [3] (plexsim.models.base.Model attribute), [1], [2], [3] (plexsim.models.rules.Rules attribute), [1], [2], [3]

Adjacency (class in plexsim.models.adjacency), [1], [2], [3] agentStates (plexsim.models.base.Model attribute), [1], [2], [3] alpha (plexsim.models.bornholdt.Bornholdt attribute), [1], [2], [3] (plexsim.models.logmap.Logmap attribute), [1], [2], [3] (plexsim.models.prisoner.Prisoner attribute), [1], [2], [3] animate() (plexsim.utils.visualisation.GraphAnimation method), [1] annealing() (in module plexsim.utils.annealing), [1]

B

B (class in plexsim.models.test), [1], [2], [3] beta (plexsim.models.potts.Potts attribute), [1], [2], [3] (plexsim.models.pottsis.Pottsis attribute), [1], [2], [3] (plexsim.models.sirs.SIRS attribute), [1], [2], [3] bfs_iso() (in module plexsim.utils.graph), [1]

boid_radius (plexsim.models.magnetic_boids.MagneticBoids attribute), [1], [2], [3] Bonabeau (class in plexsim.models.bonabeau), [1], [2], [3] Bornholdt (class in plexsim.models.bornholdt), [1], [2], [3] bounded_rational (plexsim.models.value_network.ValueNetwork attribute), [1], [2], [3] (plexsim.models.value_network2.ValueNetwork attribute), [1], [2], [3] bounds (plexsim.models.magnetic_boids.MagneticBoids attribute), [1], [2], [3]

C

C (class in plexsim.models.test), [1], [2], [3] CCA (class in plexsim.models.cca), [1], [2], [3] check_df() (in module plexsim.utils.rules), [1] (plexsim.models.value_network.ValueNetwork method), [1], [2], [3] (plexsim.models.value_network2.ValueNetwork method), [1], [2], [3] check_doubles() (in module plexsim.utils.rules), [1] (plexsim.models.value_network2.ValueNetwork method), [1], [2], [3] check_endpoint() (in module plexsim.utils.rules), [1] (plexsim.models.value_network2.ValueNetwork method), [1], [2], [3] check_traversal() (plexsim.models.value_network2.ValueNetwork method), [1], [2], [3]

colors (plexsim.models.cyclic.Cycledelic attribute), [1], [2], [3] ConnectedSimpleGraphs (class in plexsim.utils.graph), [1] construct_hm() (in module plexsim.utils.hm), [1] construct_iso_tree() (in module plexsim.utils.graph), [1] Conway (class in plexsim.models.game_of_life), [1], [2], [3] cooling() (in module plexsim.utils.annealing), [1] coordinates (plexsim.models.magnetic_boids.MagneticBoids attribute), [1], [2], [3] create_grid_layout() (in module plexsim.utils.visualisation), [1] create_rule_full() (in module plexsim.utils.rules), [1] Cycledelic (class in plexsim.models.cyclic), [1], [2], [3] CycledelicAgent (class in plexsim.models.cyclic), [1], [2], [3]

D

D (class in plexsim.models.test), [1], [2], [3] delta (plexsim.models.potts.Potts attribute), [1], [2], [3] discrete_cmap() (in module plexsim.utils.visualisation), [1]

dt (plexsim.models.magnetic_boids.MagneticBoids attribute), [1], [2], [3] dump_rules() (plexsim.models.value_network.ValueNetwork method), [1], [2], [3] (plexsim.models.value_network2.ValueNetwork method), [1], [2], [3]

E

eta (plexsim.models.bonabeau.Bonabeau attribute), [1], [2], [3] (plexsim.models.pottsis.Pottsis attribute), [1], [2], [3]

explore (plexsim.models.magnetic_boids.MagneticBoids attribute), [1], [2], [3] extract_roles() (in module plexsim.utils.graph), [1]

G

gen_panel() (plexsim.utils.visualisation.GraphAnimation method), [1] gen_rvs_hm() (in module plexsim.utils.hm), [1] generate() (plexsim.utils.graph.ConnectedSimpleGraphs method), [1] generate_hm() (in module plexsim.utils.hm), [1] get_include() (in module plexsim), [1]

get_neighbors() (in module plexsim.utils.graph), [1] get_settings() (plexsim.models.base.Model method), [1], [2], [3] graph (plexsim.models.adjacency.Adjacency attribute), [1], [2], [3] (plexsim.models.base.Model attribute), [1], [2], [3] GraphAnimation (class in plexsim.utils.visualisation), [1]

H

H (plexsim.models.potts.Potts attribute), [1], [2], [3]

heuristic (plexsim.models.value_network.ValueNetwork attribute), [1], [2], [3]

I

init_random() (plexsim.models.sirs.SIRS method), [1], [2], [3]

Ising (class in plexsim.models.ising), [1], [2], [3]

J

jujujajaki() (in module plexsim.utils.graph), [1]

K

kappa (plexsim.models.sirs.SIRS attribute), [1], [2], [3]

kNudges (plexsim.models.base.Model attribute), [1], [2], [3]

L

last_written (plexsim.models.base.Model attribute), [1], [2], [3]

legacy_graph() (in module plexsim.utils.graph), [1] Logmap (class in plexsim.models.logmap), [1], [2], [3]

M

MagneticBoids (class in plexsim.models.magnetic_boids), [1], [2], [3] magnetize() (plexsim.models.potts.Potts method), [1], [2], [3] make_connected() (in module plexsim.utils.graph), [1] match_temperature() (in module plexsim.models.potts), [1], [2], [3] MCMC (class in plexsim.models.sampler), [1], [2], [3] mcmc (plexsim.models.base.Model attribute), [1], [2], [3] memento (plexsim.models.base.Model attribute), [1], [2], [3] memory (plexsim.models.base.Model attribute), [1], [2], [3] memorySize (plexsim.models.base.Model attribute), [1], [2], [3] merge() (in module plexsim.utils.rules), [1] (plexsim.models.value_network2.ValueNetwork method), [1], [2], [3] Model (class in plexsim.models.base), [1], [2], [3] ModelMC (class in plexsim.models.base), [1], [2], [3] module plexsim, [1] plexsim.models, [1] plexsim.models.ab, [1], [2], [3] plexsim.models.adjacency, [1], [2], [3] plexsim.models.base, [1], [2], [3] plexsim.models.bonabeau, [1], [2], [3] plexsim.models.bornholdt, [1], [2], [3] plexsim.models.cca, [1], [2], [3] plexsim.models.cyclic, [1], [2], [3] plexsim.models.game_of_life, [1], [2], [3] plexsim.models.ising, [1], [2], [3] plexsim.models.logmap, [1], [2], [3] plexsim.models.magnetic_boids, [1], [2], [3] plexsim.models.percolation, [1], [2], [3] plexsim.models.potts, [1], [2], [3] plexsim.models.pottsis, [1], [2], [3] plexsim.models.prisoner, [1], [2], [3] plexsim.models.pyobjectholder, [1], [2], [3] plexsim.models.rbn, [1], [2], [3] plexsim.models.rules, [1], [2], [3] plexsim.models.sampler, [1], [2], [3] plexsim.models.simple_copy, [1], [2], [3] plexsim.models.sirs, [1], [2], [3] plexsim.models.test, [1], [2], [3] plexsim.models.value_network, [1], [2], [3] plexsim.models.value_network2, [1], [2], [3] plexsim.utils, [1] plexsim.utils.annealing, [1] plexsim.utils.graph, [1] plexsim.utils.hm, [1] plexsim.utils.rules, [1] plexsim.utils.visualisation, [1]

mu (plexsim.models.pottsis.Pottsis attribute), [1], [2], [3] (plexsim.models.sirs.SIRS attribute), [1], [2], [3]

N

newstates (plexsim.models.base.Model attribute), [1], [2], [3] nNodes (plexsim.models.base.Model attribute), [1], [2], [3] node_energy() (plexsim.models.potts.Potts method), [1], [2], [3] nodeids (plexsim.models.base.Model attribute), [1], [2], [3]

nStates (plexsim.models.base.Model attribute), [1], [2], [3] nu (plexsim.models.sirs.SIRS attribute), [1], [2], [3] nudges (plexsim.models.base.Model attribute), [1], [2], [3] nudgeType (plexsim.models.base.Model attribute), [1], [2], [3] nx_layout() (in module plexsim.utils.graph), [1]

P

p (plexsim.models.percolation.Percolation attribute), [1], [2], [3] P (plexsim.models.prisoner.Prisoner attribute), [1], [2], [3] p_recomb (plexsim.models.base.Model attribute), [1], [2], [3] (plexsim.models.sampler.MCMC attribute), [1], [2], [3] pat (plexsim.models.value_network2.ValueNetwork attribute), [1], [2], [3] Percolation (class in plexsim.models.percolation), [1], [2], [3] plexsim module, [1] plexsim.models module, [1] plexsim.models.ab module, [1], [2], [3] plexsim.models.adjacency module, [1], [2], [3] plexsim.models.base module, [1], [2], [3] plexsim.models.bonabeau module, [1], [2], [3] plexsim.models.bornholdt module, [1], [2], [3] plexsim.models.cca module, [1], [2], [3] plexsim.models.cyclic module, [1], [2], [3] plexsim.models.game_of_life module, [1], [2], [3] plexsim.models.ising module, [1], [2], [3] plexsim.models.logmap module, [1], [2], [3] plexsim.models.magnetic_boids module, [1], [2], [3] plexsim.models.percolation module, [1], [2], [3] plexsim.models.potts module, [1], [2], [3] plexsim.models.pottsis module, [1], [2], [3]

plexsim.models.prisoner module, [1], [2], [3] plexsim.models.pyobjectholder module, [1], [2], [3] plexsim.models.rbn module, [1], [2], [3] plexsim.models.rules module, [1], [2], [3] plexsim.models.sampler module, [1], [2], [3] plexsim.models.simple_copy module, [1], [2], [3] plexsim.models.sirs module, [1], [2], [3] plexsim.models.test module, [1], [2], [3] plexsim.models.value_network module, [1], [2], [3] plexsim.models.value_network2 module, [1], [2], [3] plexsim.utils module, [1] plexsim.utils.annealing module, [1] plexsim.utils.graph module, [1] plexsim.utils.hm module, [1] plexsim.utils.rules module, [1] plexsim.utils.visualisation module, [1] Potts (class in plexsim.models.potts), [1], [2], [3] Pottsis (class in plexsim.models.pottsis), [1], [2], [3] powerlaw_graph() (in module plexsim.utils.graph), [1] Prisoner (class in plexsim.models.prisoner), [1], [2], [3] probs() (plexsim.models.prisoner.Prisoner method), [1], [2], [3]

R

r (plexsim.models.logmap.Logmap attribute), [1], [2], [3] R (plexsim.models.prisoner.Prisoner attribute), [1], [2], [3] radius (plexsim.models.magnetic_boids.MagneticBoids attribute), [1], [2], [3] rand() (plexsim.models.sampler.RandomGenerator method), [1], [2], [3] RandomGenerator (class in plexsim.models.sampler), [1], [2], [3] RBN (class in plexsim.models.rbn), [1], [2], [3] rebuild() (in module plexsim.models.base), [1], [2], [3] recursive_tree() (in module plexsim.utils.graph), [1]

redundancy (plexsim.models.value_network.ValueNetwork attribute), [1], [2], [3] removeAllNudges() (plexsim.models.base.Model method), [1], [2], [3] reset() (plexsim.models.base.Model method), [1], [2], [3] rng (plexsim.models.base.Model attribute), [1], [2], [3] (plexsim.models.sampler.MCMC attribute), [1], [2], [3] Rules (class in plexsim.models.rules), [1], [2], [3] rules (plexsim.models.base.Model attribute), [1], [2], [3] (plexsim.models.rbn.RBN attribute), [1], [2], [3] rvs() (plexsim.utils.graph.ConnectedSimpleGraphs method), [1]

S

S (plexsim.models.prisoner.Prisoner attribute), [1], [2], [3] sample_random_node() (in module plexsim.utils.hm), [1] sampleNodes() (plexsim.models.base.Model method), [1], [2], [3] sampleSize (plexsim.models.base.Model attribute), [1], [2], [3] seed (plexsim.models.sampler.RandomGenerator attribute), [1], [2], [3] setup() (plexsim.utils.visualisation.GraphAnimation method), [1] sigmoid() (in module plexsim.models.potts), [1], [2], [3] sigmoidOpt() (in module plexsim.models.potts), [1], [2], [3] simple_animate() (in module plexsim.utils.visualisation), [1] SimpleCopy (class in plexsim.models.simple_copy), [1], [2], [3]

simulate() (plexsim.models.base.Model method), [1], [2], [3] (plexsim.models.cyclic.Cycledelic method), [1], [2], [3] simulate_mean() (plexsim.models.base.Model method), [1], [2], [3] SIRS (class in plexsim.models.sirs), [1], [2], [3] siteEnergy() (plexsim.models.potts.Potts method), [1], [2], [3] (plexsim.models.value_network.ValueNetwork method), [1], [2], [3] (plexsim.models.value_network2.ValueNetwork method), [1], [2], [3] spawn() (plexsim.models.base.Model method), [1], [2], [3] states (plexsim.models.base.Model attribute), [1], [2], [3] system_mag (plexsim.models.bornholdt.Bornholdt attribute), [1], [2], [3]

T

t (plexsim.models.potts.Potts attribute), [1], [2], [3] T (plexsim.models.prisoner.Prisoner attribute), [1], [2], [3]

threshold (plexsim.models.cca.CCA attribute), [1], [2], [3] (plexsim.models.game_of_life.Conway attribute), [1], [2], [3] turnoff_spines() (in module plexsim.utils.visualisation), [1]

U

updateState() (plexsim.models.base.Model method), [1], [2], [3]

updateType (plexsim.models.base.Model attribute), [1], [2], [3]

V

ValueNetwork (class in plexsim.models.value_network), [1], [2], [3] (class in plexsim.models.value_network2), [1], [2], [3]

velocities (plexsim.models.magnetic_boids.MagneticBoids attribute), [1], [2], [3] vis_rules() (in module plexsim.utils.visualisation), [1] visualize_graph() (in module plexsim.utils.visualisation), [1]

W

walk() (in module plexsim.utils.graph), [1] walkm() (in module plexsim.utils.graph), [1]

weight (plexsim.models.bonabeau.Bonabeau attribute), [1], [2], [3] Willson() (in module plexsim.utils.graph), [1] Willson_matrix() (in module plexsim.utils.graph), [1]