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A LEARNING MODEL OF DECENTRALIZED DECISION MAKING
THE STRUCTURE AND PHASE THEORY OF SOME RECURSIVE
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amount assumed behavioral model bilinear operator capital Chapter CL(t CM CM CM contraction mapping contraction parameter data set decentralized decision decision maker decision variable described difference equations dual linear programs dual system dynamic equated constraints economic engineering department environment environmental feedback equilibrium ex-ante optimizing solution example Farm Zone Figure firm fixed factor FLOW CHART gradient index sets industry inequality information space initial conditions initial value input mix last unsuccessful action learning model linear programming model linear programming problem maximum output level overhead partial derivative payoff function Peter Wolfe Phase 12ki Phase Theorem preceding produced profit function r.l.p. models recursive linear programming Recursive Programming Sales Department sales dept satisficing parameter second commodity sequence Shadow Price SIMULATION RESULTS Social Systems Research St St St stationary point subroutine successive ex-ante optimizing system of dynamic theory total cost total revenue unit University of Wisconsin vector Xl(t zero