Hewitt, C.


Modelling Distributed Systems

Classics

Distributed systems are multi-processor information processing systems whichdo not rely on the central shared memory for communication. The importanceof distributed systems has been growing with the advent of "computer networks"of a wide spectrum: networks of geographically distributed computers at one end,and tightly coupled systems built with a large number of inexpensive physicalprocessors at the other end. Both kinds of distributed system are made availableby the rapid progress in the technology of large-scale integrated circuits. Yetlittle has been done in the research on semantics and programming methodologiesfor distributed information processing systems.Our main research goal is to understand and describe the behaviour of suchdistributed systems in seeking the maximum benefit of employing multi-processorcomputation schemata.Hayes, J.E., D. Michie, and L. I. Mikulich (Eds.), Machine Intelligence 9, Ellis Horwood.


Viewing control structures as patterns of passing messages

Classics

See also: Comments on C. Hewitt, viewing control structures as patterns of passing messages, Artificial Intelligence 8 (1977) 323-364Artificial Intelligence 8(3):323-364



PLANNER: a language for proving theorems in robots

Classics

PLANNER is a language for proving theorems and manipulating models in a robot. The language is built out of a number of problem solving primitives together with a hierarchical control structure. Statements can be asserted and perhaps later withdrawn as the state of the world changes. Conclusions can be drawn from these various changes in state. Goals can be established and dismissed when they are satisfied . The deductive system of PLANNER is subordinate to the hierarchical control structure in order to make the language efficient . The use of a general purpose matching language makes the deductive system more powerful. In IJCAI-69, pp. 295-€“301.