implications and speculations hongtao zhang mar 15, 2003

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Implications and speculations Hongtao Zhang Mar 15, 2003

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Page 1: Implications and speculations Hongtao Zhang Mar 15, 2003

Implications and speculations

Hongtao Zhang

Mar 15, 2003

Page 2: Implications and speculations Hongtao Zhang Mar 15, 2003

Research Goal

Understand human mind.– Difficulty

Minds are unobservable Minds differ human from other animals. It is not

comfortable to make research on it.

– Benefits Help us understand ourselves more Help cure some diseases. Help to write intelligent computer software.

Page 3: Implications and speculations Hongtao Zhang Mar 15, 2003

What is mind? - 1

Cognitive Science hopes to explain mind in terms of low-level neural events.– Measure electrical and chemical changes in the

brain as it performs various tasks– Explain mind in terms of such things as synaptic

dynamics and brain modularity– Authors attack this approach as ridiculous as

predicting the weather based on the known behavior of gas molecules.

My different thoughts

Page 4: Implications and speculations Hongtao Zhang Mar 15, 2003

What is mind? - 2

Social-psychological science tries to explain mind in terms of social interactions.– Minds come from evaluating, comparing, and

imitating one another, from experience and emulating the success behaviors of others.

My different thought.– How to explain inventions, such as integral, relativity theory.– Wolfram secludes himself for 10 years to write the book

Page 5: Implications and speculations Hongtao Zhang Mar 15, 2003

Authors’ Assertions

Minds are social– Human intelligence results from social interaction– Culture and cognition are inseparable

consequences of human sociality. Culture emerges as individuals become more similar through mutual social learning.

What is the relation between society and culture?

Particle swarms are a useful computational intelligence(soft computing) methodology.

Page 6: Implications and speculations Hongtao Zhang Mar 15, 2003

Social learning Theory: Bandura

Arisen out of reinforcement theories of behaviorism

Human is different from other animals. Human can learn skills and behaviors by observations

Remnant of reinforcement theory: – people are more likely to imitate models whose

behavior is rewarded– Why do so many criminals do the same crimes

shortly after they are released from prisons?

Page 7: Implications and speculations Hongtao Zhang Mar 15, 2003

Social learning theory: more

Two advantages:– Information

Punishments are more impressive than rewards

– Motivation

Sources– Own experience– Other’s experiences (vicarious experience)

Page 8: Implications and speculations Hongtao Zhang Mar 15, 2003

Formation of culture

Spread of influence

When the influence reaches enough people, a culture is born

Page 9: Implications and speculations Hongtao Zhang Mar 15, 2003

What is culture?

Kroeber, A.L., & Kluckhohn, C. (1952). Culture: A critical review of concepts and definitions

161 variation of culture definition was listed. " Culture consists of patterns, explicit and implicit, of and for

behavior acquired and transmitted by symbols, constituting the distinctive achievements of human groups, including their embodiments in artifacts; the essential core of culture consists of traditional (i.e. historically derived and selected) ideas and especially their attached values; culture systems may, on the one hand, be considered as products of action, and on the other as conditioning elements of further action."

Page 10: Implications and speculations Hongtao Zhang Mar 15, 2003

Culture’s influence on individuals

Individuals’ reasoning depends on their culture– Kaiping peng and richard Nisbett’s explanations on

the different history of science in China and The West.

Different reasoning styles:

Page 11: Implications and speculations Hongtao Zhang Mar 15, 2003

Reasoning styles in China and the west

China West

Principle of Change:Reality is a dynamical, constantly-changing process. The concepts that reflect reality

must be subjective, active, flexible.

Law of IdentityEverything is what it is. Thus it is a necessary fact that A equals A, no matter what A is

Principle of ContradictionReality is full of contradictions and never clear-cut or precise. Opposites coexist in harmony with one another, opposed but connected

Law of NoncontradictionNo statement can be both true and false.

Principle of RelationshipTo know something completely, it is necessary to know its relations, what it affects and what affects it.

Law of the Excluded MiddleEvery statement is either true or false. There is no middle term.

Page 12: Implications and speculations Hongtao Zhang Mar 15, 2003

Human behavior 1: Group Polarization

Risky shift Phenomenon – Old belief: Groups make more conservative choices that

individuals.– Experiment result: Group decisions are more extreme than

individual decisions. – The individuals really changed their views after group

discussions. Caution Shift phenomenon was found later. Group Polarization:

– Groups tend to exaggerate the opinions of the individuals. Question: Do we need to change the jury system?

Page 13: Implications and speculations Hongtao Zhang Mar 15, 2003

Explanation of Group Polarization

Persuasive argument– Individuals change their views because they are exposed to a

greater number of arguments in favor of one position

Normative argument– In order to get other members’ recognition or approval,

individuals tend to shift their view towards the extreme.

Particle swarm theoretical argument– Social learning and influence tends to make individuals to try

more extreme positions to get optimized results.

Page 14: Implications and speculations Hongtao Zhang Mar 15, 2003

Human behavior 2: Self-Esteem

People tend to seek behaviors and situations that help them value themselves positively and to avoid those that make them feel bad about who they are.

High self-esteem helps the individual deal with stress and other negative emotions and improves their confidence and persistence to achieve their goals

Low self-esteem makes the individual depressed and less confident and easy to give up their efforts.

Page 15: Implications and speculations Hongtao Zhang Mar 15, 2003

Explanation of self-esteem

Self-esteem is a measure of how well the individuals are accepted by their social group.

Self-esteem can facilitate the maintenance of social groups

People do not have the need to maintain self-esteem itself; instead, they have the need to be included in the social group

Page 16: Implications and speculations Hongtao Zhang Mar 15, 2003

Human behavior 3: Self-attribution and social illusion

Common belief: people have direct, immediate knowledge of our thoughts and feelings

People make attributions about themselves on the basis of the same kind of information they used to interpret the action of others (Daryl Bem)

Schachter and Singer’s “misattribution” paradigm.– What would happen if the subjects know the effect of those

drugs? Nisbett and Wilson’s self-report experiment

– People are sometimes unable to report their own mental process because they are not aware of how they think.

Page 17: Implications and speculations Hongtao Zhang Mar 15, 2003

Computer intelligence

Particle swarm computing.– Imitating human society.– Every particle can be considered as a person and particles

interact with each other.– According to the social learning theory each particle is

constantly watching the particles around it to see how they are doing and adjust its behavior accordingly. (people can learn by observation)

– Each particle also has a memory of its behavior history. (people can learn from their own experiences)

Page 18: Implications and speculations Hongtao Zhang Mar 15, 2003

Soft computing: Research Areas

Evolutionary algorithms and genetic programming

Neural science and neural network systems Fuzzy set theory and fuzzy systems Chaos theory and chaotic systems

Page 19: Implications and speculations Hongtao Zhang Mar 15, 2003

Soft computing: attributes

Hard computing requires programs to be written; soft computing can evolve its own programs

Hard computing uses two-valued logic; soft computing can use multivalued or fuzzy logic

Hard computing is deterministic; soft computing incorporates stochasticity

Hard computing requires exact input data; soft computing can deal with ambiguous and noisy data

Hard computing is strictly sequential; soft computing allows parallel computations

Hard computing produces precise answers; soft computing can yield approximate answers