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planning.py
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"""Planning (Chapters 10-11)
"""
from utils import Expr, expr, first
from logic import FolKB
class PDLL:
"""
PDLL used to deine a search problem
It stores states in a knowledge base consisting of first order logic statements
The conjunction of these logical statements completely define a state
"""
def __init__(self, initial_state, actions, goal_test):
self.kb = FolKB(initial_state)
self.actions = actions
self.goal_test_func = goal_test
def goal_test(self):
return self.goal_test_func(self.kb)
def act(self, action):
"""
Performs the action given as argument
Note that action is an Expr like expr('Remove(Glass, Table)') or expr('Eat(Sandwich)')
"""
action_name = action.op
args = action.args
list_action = first(a for a in self.actions if a.name == action_name)
if list_action is None:
raise Exception("Action '{}' not found".format(action_name))
if not list_action.check_precond(self.kb, args):
raise Exception("Action '{}' pre-conditions not satisfied".format(action))
list_action(self.kb, args)
class Action:
"""
Defines an action schema using preconditions and effects
Use this to describe actions in PDDL
action is an Expr where variables are given as arguments(args)
Precondition and effect are both lists with positive and negated literals
Example:
precond_pos = [expr("Human(person)"), expr("Hungry(Person)")]
precond_neg = [expr("Eaten(food)")]
effect_add = [expr("Eaten(food)")]
effect_rem = [expr("Hungry(person)")]
eat = Action(expr("Eat(person, food)"), [precond_pos, precond_neg], [effect_add, effect_rem])
"""
def __init__(self, action, precond, effect):
self.name = action.op
self.args = action.args
self.precond_pos = precond[0]
self.precond_neg = precond[1]
self.effect_add = effect[0]
self.effect_rem = effect[1]
def __call__(self, kb, args):
return self.act(kb, args)
def substitute(self, e, args):
"""Replaces variables in expression with their respective Propostional symbol"""
new_args = [args[i] for x in e.args for i in range(len(self.args)) if self.args[i] == x]
return Expr(e.op, *new_args)
def check_precond(self, kb, args):
"""Checks if the precondition is satisfied in the current state"""
# check for positive clauses
for clause in self.precond_pos:
if self.substitute(clause, args) not in kb.clauses:
return False
# check for negative clauses
for clause in self.precond_neg:
if self.substitute(clause, args) in kb.clauses:
return False
return True
def act(self, kb, args):
"""Executes the action on the state's kb"""
# check if the preconditions are satisfied
if not self.check_precond(kb, args):
raise Exception("Action pre-conditions not satisfied")
# remove negative literals
for clause in self.effect_rem:
kb.retract(self.substitute(clause, args))
# add positive literals
for clause in self.effect_add:
kb.tell(self.substitute(clause, args))
def air_cargo():
init = [expr('At(C1, SFO)'),
expr('At(C2, JFK)'),
expr('At(P1, SFO)'),
expr('At(P2, JFK)'),
expr('Cargo(C1)'),
expr('Cargo(C2)'),
expr('Plane(P1)'),
expr('Plane(P2)'),
expr('Airport(JFK)'),
expr('Airport(SFO)')]
def goal_test(kb):
required = [expr('At(C1 , JFK)'), expr('At(C2 ,SFO)')]
for q in required:
if kb.ask(q) is False:
return False
return True
## Actions
# Load
precond_pos = [expr("At(c, a)"), expr("At(p, a)"), expr("Cargo(c)"), expr("Plane(p)"), expr("Airport(a)")]
precond_neg = []
effect_add = [expr("In(c, p)")]
effect_rem = [expr("At(c, a)")]
load = Action(expr("Load(c, p, a)"), [precond_pos, precond_neg], [effect_add, effect_rem])
# Unload
precond_pos = [expr("In(c, p)"), expr("At(p, a)"), expr("Cargo(c)"), expr("Plane(p)"), expr("Airport(a)")]
precond_neg = []
effect_add = [expr("At(c, a)")]
effect_rem = [expr("In(c, p)")]
unload = Action(expr("Unload(c, p, a)"), [precond_pos, precond_neg], [effect_add, effect_rem])
# Load
# Used used 'f' instead of 'from' because 'from' is a python keyword and expr uses eval() function
precond_pos = [expr("At(p, f)"), expr("Plane(p)"), expr("Airport(f)"), expr("Airport(to)")]
precond_neg = []
effect_add = [expr("At(p, to)")]
effect_rem = [expr("At(p, f)")]
fly = Action(expr("Fly(p, f, to)"), [precond_pos, precond_neg], [effect_add, effect_rem])
return PDLL(init, [load, unload, fly], goal_test)