Southwestern archaeology has long been fascinated with the scale and frequency of movement in Pueblo history, from great migrations to short-term mobility. By collaborating with Pueblo communities, archaeologists are learning that movement was—and is—much more than the result of economic opportunity or a response to social conflict. Movement is one of the fundamental concepts of Pueblo thought and is essential in shaping the identities of contemporary Pueblos. The Continuous Path challenges archaeologists to take Pueblo notions of movement seriously by privileging Pueblo concepts of being and becoming in the interpretation of anthropological data. In this volume, archaeologists, anthropologists, and Native community members weave multiple perspectives together to write histories of particular Pueblo peoples. Within these histories are stories of the movements of people, materials, and ideas, as well as the interconnectedness of all as the Pueblo people find, leave, and return to their middle places. What results is an emphasis on historical continuities and the understanding that the same concepts of movement that guided the actions of Pueblo people in the past continue to do so into the present and the future. Movement is a never-ending and directed journey toward an ideal existence and a continuous path of becoming. This path began as the Pueblo people emerged from the underworld and sought their middle places, and it continues today at multiple levels, integrating the people, the village, and the individual.

Introductions to industrial robots. Hydraulic systems. Pneumatic systems. Electric motors and mechanical drives. Digital logic. Flip-flops. Operational amplifiers, DAC's, and ADC's. Memories and microprocessors. Servo systems. Robot interfacing. Automated manufacturing - The Second industrial revolution.

The continuous dynamic network problem aims to find, on a congested network, temporal network flows, arc travel times, and path travel times given time-dependent path flow rates for a given time period. This problem may be considered as a subproblem of a temporal (dynamic) traffic assignment problem. This paper studies this problem and formulates it as a system of functional equations. For computational purposes, the authors develop a polynomial approximation which is almost equivalent to the original formulation on a set of finite discrete points. The approximation formulation is a finite dimensional system of equations which is solved as an optimization problem. The paper includes several numerical examples to illustrate the approach developed.