def chunk2str(self, chunk):
# if the chunk is a Buffer object, extract the Chunk object from inside it, then turn the Chunk into a string
if isinstance(chunk, Buffer):
chunk = Chunk(chunk.chunk)
# if the chunk is a Chunk object, turn the Chunk into a string
if isinstance(chunk, Chunk):
chunk = str(chunk)
return chunk
def resonance(self, chunk):
self.busy = True
if self.error: self.error = False
self._request_count += 1
# convert chunk to string (if it isn't already a string)
chunk = self.chunk2str(chunk)
# assign any unassigned values in chunk string
chunk = self.assignValues(chunk)
if '?' in chunk:
raise Exception(
"Use the resonanuce function when the chunk has no '?'. If there is a '?' use request instead"
)
# keep track of the number of occurrences of a particular value in case of repeats
occurrences = {}
# keep a running sum of the cosines and a count of the values in the chunk
sumOfCosines = 0
numOfValues = 0
# perform a query for each value in chunk
for slotvalue in chunk.split():
# create a query by removing the value and replacing it with '?'
query = chunk.split() # turn chunk into list
query.pop(numOfValues) # remove this list item
# check if chunk has slots by checking for colons (which separate slots from values)
if ':' in slotvalue:
slot, value = slotvalue.split(':')
query.insert(numOfValues, slot + ':?') # replace value with ?
query = ' '.join(query) # convert query to a string
queryVec, queryStr = self.queryWithSlots(query)
else:
value = slotvalue
query.insert(numOfValues, '?') # replace value with ?
query = ' '.join(query) # convert query to a string
queryVec, queryStr = self.queryJustValues(query)
numOfValues = numOfValues + 1
# find the match between the query vector and the value's memory vector
match = self.memory[value].compare(queryVec)
sumOfCosines = sumOfCosines + match
if self.verbose:
print 'The query is ' + queryStr
print 'Match is ' + str(
match) + ' for ' + value + ' = ' + self.memStr[value]
coherence = sumOfCosines / numOfValues
if self.verbose:
print 'The coherence is ' + str(coherence)
if coherence <= self.threshold:
self.fail(self._request_count)
else:
chunkObj = Chunk(chunk)
chunkObj.activation = coherence
self.recall(chunkObj,
matches=[],
request_number=self._request_count)
def examine(self, pat):
"""
Check the visible object at a visual location.
:param pat: specify the visual location.
:return:
"""
# The argument "pat" (pattern) contains the information of a visual location.
# If pat provides only the values of x-coordinate and y-coordinate,
# we reorganize pat into 'x: x-coordinate y: y-coordinate'.
if isinstance(pat, str) and ':' not in pat and pat.count(' ') == 1:
pat = 'x:%s y:%s' % tuple(pat.split(' '))
# The x-coordinate, y-coordinate often are variables, e.g. "?x ?y". We use function Pattern() to map
# the variables to the values stored in sch.bound.
self.lastExamine = Pattern(pat, self.sch.bound)
# Now we update the variable pat which has assigned valules.
pat = self.lastExamine
# In the following self is the vision module, self.parent is the agent which includes the vision module,
# and self.parent.parent is the environment in which the agent is. In the for-loop, each object in the environment
# is checked to see if they are visiable objects.
for obj in self.parent.parent.get_children():
# First, let us check if an object is a visible object. We do so by checking if the object contains the attributes
# "x", "y", and if the attribute "visible=True".
if hasattr(obj, 'x') and hasattr(obj, 'y') and getattr(
obj, 'visible', True):
# Further, if the visual location pat matches the location of the visible object,
if pat.match(obj) is not None:
#(obsolete) if self.isClose(obj.x,float(pat[0])) and self.isClose(obj.y,float(pat[1])):
# The vision module starts working; it is busy.
self.busy = True
# The default time required for a vision module request is set as 0.085s.
yield 0.085
# The vision module finishes working; it is not busy.
self.busy = False
# In the following, self is the vision module, self.parent is the agent which includes the vision module,
# and self.parent.parent is the environment in which the agent is.
# If obj is still an object in the environment,
if obj in self.parent.parent.get_children():
# The vision module is tracking this object.
self.tracking = obj
# We print the following information to the display.
self.log._ = 'Vision sees %s' % Chunk(obj)
# We put the object into the visual buffer.
self._visual.set(obj)
# We add the object into the list of finst (finger instantiation).
self.finst.add(obj)
# If obj is no longer an object in the environment,
else:
# There is nothing to track.
self.tracking = None
# We print the following information to the display.
self.log._ = 'Vision sees nothing'
# We clear the visual buffer.
self._visual.clear()
# Each time, only one object can be seen. When we find one, we break the for-loop.
break
def request(self, chunk):
self.busy = True
if self.error: self.error = False
self._request_count += 1
# convert chunk to string (if it isn't already a string)
chunk = self.chunk2str(chunk)
# assign any unassigned values in chunk string
chunk = self.assignValues(chunk)
# check if chunk has slots by checking for colons (which separate slots from values)
if ':' in chunk:
queryVec, queryStr = self.queryWithSlots(chunk)
else:
queryVec, queryStr = self.queryJustValues(chunk)
if self.verbose:
print 'The query is ' + queryStr
highestCosine = self.threshold
bestMatch = 'none'
# find the best match to the query vector in memory
for mem, memVec in self.memory.items():
thisCosine = memVec.compare(queryVec)
if self.verbose:
print mem, thisCosine
if thisCosine > highestCosine:
highestCosine = thisCosine
bestMatch = mem
if self.verbose:
print bestMatch
if bestMatch == 'none':
self.fail(self._request_count)
else:
# replace the placeholder '?' with the retrieved memory 'bestMatch'
chunk = chunk.replace('?', bestMatch)
if self.verbose:
print 'Best match is ' + bestMatch + ' = ' + self.memStr[
bestMatch]
print 'output chunk = ' + chunk
chunkObj = Chunk(chunk)
chunkObj.activation = highestCosine
self.recall(chunkObj,
matches=[],
request_number=self._request_count)
def resonance(self, chunk):
if '?' in chunk:
print('chunk is ' + chunk)
raise Exception(
"Use the resonance function when the chunk has no '?'. If there is a '?' use request instead"
)
coherence = self.get_activation(chunk)
if self.verbose:
print('The coherence is ' + str(coherence))
if coherence <= self.threshold:
self.fail(self._request_count)
else:
chunkObj = Chunk(chunk)
chunkObj.activation = coherence
self.recall(chunkObj,
matches=[],
request_number=self._request_count)
def requestValue(self, chunk, require_new=False):
# check if chunk has slots by checking for colons (which separate slots from values)
if ':' in chunk:
queryVec = self.queryWithSlots(chunk)
else:
queryVec = self.queryJustValues(chunk)
highestCosine = self.threshold
bestMatch = 'none'
if self.verbose:
print('Query is: ' + chunk)
print('inhibited values: ' + str(self.inhibited))
print('Finst contains: ' + str(self.finst.obj))
# find the best match to the query vector in memory
for mem, memVec in self.mem.items():
# skip inhibited values
if mem not in self.inhibited:
# skip previously reported values if require_new is true
if (not require_new) or (not self.finst.contains(mem)):
thisCosine = memVec.compare(queryVec)
if self.verbose:
print(mem, thisCosine)
if thisCosine > highestCosine:
highestCosine = thisCosine
bestMatch = mem
if bestMatch == 'none':
if self.verbose:
print('No matches found above threshold of cosine =',
self.threshold)
self.fail(self._request_count)
else:
# replace the placeholder '?' with the retrieved memory 'bestMatch'
chunk = chunk.replace('?', bestMatch)
if self.verbose:
print('Best match is ' + bestMatch)
print('with a cosine of ' + str(highestCosine))
print('output chunk = ' + chunk)
chunkObj = Chunk(chunk)
chunkObj.activation = highestCosine
self.finst.add(bestMatch)
self.recall(chunkObj,
matches=[],
request_number=self._request_count)
def examine(self, pat):
self.lastExamine = Pattern(pat, self.sch.bound)
pat = self.lastExamine
for obj in self.parent.parent.get_children():
if hasattr(obj, 'x') and hasattr(obj, 'y') and getattr(
obj, 'visible', True):
if True or pat.match(obj) is not None:
#if self.isClose(obj.x,float(pat[0])) and self.isClose(obj.y,float(pat[1])):
yield 0.085
if obj in self.parent.parent.get_children():
self.tracking = obj
self.log._ = 'Vision sees %s' % Chunk(obj)
self._visual.set(obj)
self.finst.add(obj)
else:
self.tracking = None
self.log._ = 'Vision sees nothing'
self._visual.clear()
break
def test_chunk_setting(self):
from ccm.lib.actr.buffer import Chunk
c = Chunk(dict(a=1, b=2))
self.assertEqual(c['a'], 1)
self.assertEqual(c['b'], 2)