Task 6 M&M Dynamic systems :3 !! (Dynamic System Models --> picks…
Task 6 M&M Dynamic systems :3 !!
Dynamic System Models
--> picks up many things not factored in by CRUm
---> BUT still not enough evidence to replace CRUM cause cant explain as many things like (problem solving, learning , language)
3 ways (from summary)
metaphorical use of dynamic systems
connectionist models described as dynamic systems
small number of variables +quations
mind and world not separate but interact in a complex and dynamic everchanging system :3 !!
-->our perception is deeply influenced by what we perceive and how we react to the world
—> CRUM doesnt take that into account !
Advantages of dynamic systems
Can better explain time
better explains how interaction of mind with world changes behavior
better explains "non-representational" human behavior
--> e.g. moods, sleep, motor control (which influenced by interaction of environment and human mind)
dynamic systems not enough support to be an alternative to CRUM cause CRUM can explain
problem solving, learning , language ,
—> dynamic systems havent adressed how these things might work
—> however if wished to also factor in complex human influences (peer pressure, predisposedness, environment etc) dynamic systems or lending form dynamic systems to combine with connectionist model = good approach :)!!
— see green note as that is good example !!
3D cube (CUSP catastrophy :D!!)
--> with the fold on the surface and love and behavior and relationships
--> is a stable place within a system that the system tends to settle in
--> a system can have multiple attractors, so multiple stable states
-> system can have multiple attractors / stable places
--> variables of a system that are used to measure it
--> eg windspeed humidity, temperature in a weather system
--> = move from one stable position/ attractor to another one
-->intentionality = property of “being about something” / being deliberate / purposeful !!
--> representation in comuters = independend of the world / interaction with the world and thus dont understand the purpose / intentionallity of it
thought is not a solitary, disembodied occurrence, but rather occurs in individuals who interact with a physical world.
--> system sensitive to small variable input
--> small change in values can lead to HUGE difference in outcome
Bifurcation point :D !!
--> point at which catastrophic change happens if entered form one side and exiting it on the other side :3 !! and vice versa :3 !!
--> factor which at moderate normal factor levels leads to divergence/ change in behavior
--> factor which increases monotonically with behavior while the splitting factor remains constant
--> point at which switch in behavior takes longer when apprached from one side of the normal factor (e.g 100% love towards 0% love) than from the other side (dependence on history)
having a position in the beginning makes you stick longer with that position as if you had a different starting point
read new synthessi cause its the line picutre in the course manual :3 !!
add the figure descripton lol
Challenges for Cognitive Science
-->CRUM can explain as many things like (problem solving, learning , language)
---> 4 ways to deal with these:
--> CRUM = Computational representational understanding of mind (CRUM)
--_> CRUM all these mistakes + What we can do to fix !!
--> lets take step 3 and add non Crum elements to Crum e.g. Dynamic systems !!
-------> chapter 12 lets take connectionism and add dynamic systems to make them super duper goood :3 !!
1. brain challenge
--> CRUm ignores facts how brain actually thinks
2. emotion challenge
--> doesnt factor in emotions
3. consciousness challenge
--> doesnt factor in consciousness
4. body challenge
--> doesnt factor in body / physiological changes
5. world challenge
--> doesnt factor in physical environment / context
6. dynamic systems challenge
--> doesnt factor in that mind = dynamic system
7. social challenge
--> doesnt factor in social influences
Answer to limitations:
Deny these challenges
-->by adding new computational + representational ideas to meet the challanges
--> by adding noncomputational, nonrepresentational con- siderations that together with CRUM can meet the challenge
4. Abandon Crum
--> adding all the missing abilities to CRUm to be able to perceive what humans perceive to gain new more accurate representations!
--> eg. by adding ability to smell, see, hear and touch, + feeling of arm when swinging hammer etc etc all needed
--> giving additional representing input eg. how visual inout is perceived and processed in human brain
---> could lead to better functioning through understanding like human does more accurately
--> not good idea becasue it can already explain and do many things, planning, learning and language !
--> different experimental results fit best with different representational theories
--> there is no best fit its all task dependent!
rule based to cognitive task
connectionist model to cognitive task involving incremental learning +parallel constraint
--> 3 concepts of blabla blaaaa
6 approaches to representation and computation
FOCUS ONLY ON IF THEN RULES AND CONNECTIONISM IN CHAPTER 8 and look at all benefits so wehre eah si good and where each is worse than the other !!