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The AHA Model
Revision: 12809
Reference implementation 04 (HEDG02_04)
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The AHA Model
Revision: 12809
Reference implementation 04 (HEDG02_04)
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Go down dive deeper. More...
Public Member Functions | |
| procedure, public | init => go_down_depth_init_zero |
Initialise the go down to a deeper spatial layer behaviour component to a zero state. See the_behaviour::go_down_depth_init_zero(). More... | |
| procedure, public | do_this => go_down_do_this |
do_this performs the agent's action without changing the agent or the environment. More... | |
| procedure, public | expectancies_calculate => go_down_motivations_expect |
expectancies_calculate is a subroutine (re)calculating motivations from fake expected perceptions following from do_this. More... | |
| procedure, public | execute => go_down_do_execute |
Execute this behaviour component "go down" by this_agent agent. See the_behaviour::go_down_do_execute(). More... | |
 Public Member Functions inherited from the_behaviour::move | |
| procedure(move_init_root), deferred, public | init |
The the_behaviour::move::init() is a deferred function that is overriden by each extension object init method. More... | |
| Public Member Functions inherited from the_behaviour::behaviour_base | |
| procedure(behaviour_init_root), deferred, public | init |
| Abstract init function that has to be overriden by each object that extends the root behaviour component class. More... | |
| procedure, public | is_executed => behaviour_root_get_is_executed |
Get the execution status of the behaviour unit. See the_behaviour::behaviour_root_get_is_executed(). More... | |
| procedure, public | gos_expected => behaviour_root_gos_expectation |
gos_expected is an accessor get-function that returns the final GOS expectation from expectancies_calculate. Once we get this value for all the possible behaviours, we choose what behaviour to execute by minimising gos_expected. See the_behaviour::behaviour_root_gos_expectation(). More... | |
| procedure, public | attention_transfer => behaviour_root_attention_weights_transfer |
attention_transfer transfers attention weights from the actor agent to this behaviour expectancy objects. See the_behaviour::behaviour_root_attention_weights_transfer(). More... | |
Public Attributes | |
| real(srp) | decrement_mass_cost |
| The cost of the swimming downwards. Should be relatively low, much smaller than the cost of active locomotion to the same distance (in terms of the body length as set by condition_cost_swimming_burst()). This is because it is assumed to be based on the hydrodynamic (swimbladder) volume manipulation rather than active propulsion. More... | |
| real(srp) | expected_food_gain |
| The expected food gain (body mass increment) from the food items deeper than the actor agent. This value is based on the number and average mass of food items below the agent's current horizon. More... | |
| integer | expected_consp_number |
| The expected number of conspecifics at the layer below. This value is based on the number of conspecifics below the agent's current horizon. More... | |
| real(srp) | expected_predation_risk |
| The expected predation risk at the layer below. This value is based on the number of predators below the agent's current horizon. More... | |
| Public Attributes inherited from the_behaviour::move | |
| real(srp) | distance |
| Movement is described by its absolute distance. More... | |
| Public Attributes inherited from the_behaviour::behaviour_base | |
| logical | is_active |
| Logical flag indicating that this behaviour is activated (executed). More... | |
| type(motivation) | expectancy |
| Each behavioural type within the whole repertoire has expectancies that set how each of the GOS motivational components is affected by its execution. More... | |
| real(srp) | arousal_expected |
An expectation of the arousal level. It is the maximum weighted value among all motivation components. This value is actually minimised – those behaviour which would result in the lowest arousal_expected is finally executed. More... | |
Go down dive deeper.
Definition at line 394 of file m_behav.f90.
| procedure, public the_behaviour::go_down_depth::init |
Initialise the go down to a deeper spatial layer behaviour component to a zero state. See the_behaviour::go_down_depth_init_zero().
Definition at line 415 of file m_behav.f90.
| procedure, public the_behaviour::go_down_depth::do_this |
do_this performs the agent's action without changing the agent or the environment.
Definition at line 418 of file m_behav.f90.
| procedure, public the_behaviour::go_down_depth::expectancies_calculate |
expectancies_calculate is a subroutine (re)calculating motivations from fake expected perceptions following from do_this.
gos_expect. See the_behaviour::go_down_motivations_expect(). Definition at line 425 of file m_behav.f90.
| procedure, public the_behaviour::go_down_depth::execute |
Execute this behaviour component "go down" by this_agent agent. See the_behaviour::go_down_do_execute().
Definition at line 428 of file m_behav.f90.
| real(srp) the_behaviour::go_down_depth::decrement_mass_cost |
The cost of the swimming downwards. Should be relatively low, much smaller than the cost of active locomotion to the same distance (in terms of the body length as set by condition_cost_swimming_burst()). This is because it is assumed to be based on the hydrodynamic (swimbladder) volume manipulation rather than active propulsion.
Definition at line 400 of file m_behav.f90.
| real(srp) the_behaviour::go_down_depth::expected_food_gain |
The expected food gain (body mass increment) from the food items deeper than the actor agent. This value is based on the number and average mass of food items below the agent's current horizon.
Definition at line 404 of file m_behav.f90.
| integer the_behaviour::go_down_depth::expected_consp_number |
The expected number of conspecifics at the layer below. This value is based on the number of conspecifics below the agent's current horizon.
Definition at line 407 of file m_behav.f90.
| real(srp) the_behaviour::go_down_depth::expected_predation_risk |
The expected predation risk at the layer below. This value is based on the number of predators below the agent's current horizon.
Definition at line 410 of file m_behav.f90.
1.9.1