Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Networks and consciousness Donald Steiny Overall • Won’t even try to solve AI • More about problems than solutions • Introduce the idea of networks and how they relate to some of the problems in this area Today • • • • • Review of behaviorism Review of cognitive psychology Review of systems and the AI paradigm Discussion of relational thinking and networks Examples of how networks lead to new descriptions • Some potential applications Basic behavioral model The idea • No such thing as cause and effect – Hume – Not a property of things. – Just a consequence of repeated observations – A matter of faith – the fallacy of induction • The solution? – Scientific laws are based on repeated observation – Psychology could become “scientific.” But … • It is not possible to recognize a balanced set of symbols without memory. Aaabbbbaaa It is, however, possible to precisely describe the memory required by push down store automata, which lead to computer languages like C and Pascal. This lead to “mental processes” and cognitive psychology Meanwhile • Shannon and Weaver – Formulation of information and redundancy • Norbert Weiner – Cybernetics – Feedback – Control • Representation of everything as symbols and a complete science of symbols And in economics • Revealed preferences • Failure of micro explanations – Coase and Williamson • Behavioral explanations – Bounded rationality (Simon) – Heuristics and biases (Kahneman) • Still at dyad level • Macro structures are epiphenomena Systems • Systems – Have inputs and outputs – They transform their inputs – They have a boundary – They have subsystems – They are part of a larger systems – Inputs/Outputs can be viewed as symbols But … • Symbols are always dependent on context. What Bateson called a frame was extensively developed by Erving Goffman. – He’s a student – ASCII interpreted as EBCDIC Over in sociology land • Harvard Department of Social Relations – Talcott Parsons • Functionalist sociology • The dream of a unified paradigm – Harrison White • Network sociology • Methods that assume heterogeneity • The middle range of action Atomic Actors • Where is action located? – What is space? – Cartesian space locates action at a point • Minds • Consciousness • Etc • Atomic theories – Rational action – Systems theory Relational View – boys and girls Networks as spaces • Analogy: each of are members of multiple networks. • This is similar to an n-dimensional space, the difference being that any point can be in an arbitrary intersection of dimensions. • Over time the configuration of dimensions switches so points are generally not in a fixed set of dimensions. Identity • Each network provides a frame of reference • Different things are salient in each network. Structural equivalence Advice leaders Expressive leader Is the dot at the front or back? What is a person? • When you talk to me who are you talking to? – – – – My immortal soul? My lips? A story you tell yourself? Folk psychology is key • Is an action mine or your interpretation of it? How could we know? How could we remember? • “a god” existing at the confluence of networks. Style • Holds us together across identities • Helps choose our stories or actions • Persons are styles – Napoleon – Bill Clinton • War/fashion • Sets the tone for our actions What about a company? • Or a country or “big business” or anything that causes things. • Back to the old problem that behaviorism had • These live in our heads so the same problem of making repeated observations about people applies to larger structures Social roles • • • • Preexisting (structure) Fairly fixed Live in everyone’s heads Held in place by control. Stories and accountings • We account for, explain what we observe – The swinging rope experiement – Hume’s cause – Wittgenstein’s intention • Standard sets of stories are both guides for action explanations – Durkheim/Heddigger • We are tied together into networks by these rhetorics • Common sense is an underlying accounting Our location • Is point of view • Determines what we can access as accountings. • Is affected by control pressures from others (our interpretations are in the light of others) Social networking • New security models use networks: Granovetter diagrams • We have multiple identities, seeing it on line makes it salient • Facebook security model problem – Assumes single identity Culture and meaning • Culture is the set of available accountings and the control effort to adopt it. • Meaning is carried across network domains as we go from pointing. A source of - disciplines • • • • Like situated cognition (Hutchens) The way we work together Very hard to see, no ties Influenced by style – Chinese making a company – Finns making a company – Silicon Valley making a company • Source of stories and accountings (ties) The problem of action • • • • Magical thinking Fundamental Attribution Error The great man hypothesis Creativity and innovation as combinations of borrowing and salience • Accountings and stories • Beliefs and values are explanations, not causes How does this relate to AI • The problem is more complex than it is made out to be • Reducing reality to symbols won’t work