Showing papers in "Artificial Intelligence in Engineering in 1986"

TL;DR: The goal of the EDISON project is to design a program capable of creating novel mechani-cal devices, by using knowledge of naive physical relationships, qualitative reasoning, plan-ning, and discovery/invention heuristics applied to abstract devices organized and indexed in an episodic memory.

TL;DR: An Artificial Intelligence program for mechanical engineering design, called Dominic, characterizes design as best-first search through a space of possible designs, and within its redesign framework, one can design a variety of mechanical devices.

TL;DR: A Distributed Control System that provides scheduling and coordination of multiple concurrent activities on a mobile robot and a distributed implementation of this system is described.

TL;DR: A knowledge-based standards processor is being built that will act as an interface between CAD programs and design standards, and it uses a blackboard architecture similar to that of Hearsay-II, a speech understanding program.

TL;DR: DESTINY integrates all stages of the structural design process into an unified framework and consists of several Knowledge-Modules that communicate through a Blackboard and are controlled by an Inference Mechanism.

TL;DR: This paper presents ACCORD, a BB1 knowledge base that contains the domain-independent knowledge required to assemble arrangements, and describes two applications of BB1-ACCORD: the PROTEAN system for protein-structure analysis and the SIGHTPLAN systems for designing construction-site layouts.

TL;DR: This paper discusses the process planning problem with a view to automate its solution methods and proposes a hierarchical planning structure, in which the highest level is a simplification or abstraction of the plan and the lowest is a detailed plan, sufficient to solve the problem.

TL;DR: This article reports on the use of an expert system to determine the level of risk a building may face due to seismic hazard and a set of rules was developed and implemented on Deciding Factor (™) , a microcomputer program for developing expert systems.

TL;DR: This paper investigates the characteristic features of blackboards, exposes some of t he reasons why this architecture will be very useful for Computer Aided Engineering (CAE) expert systems, and shows what can be gained by designing a reflexive blackboard architecture where the explanation component is a fullscale knowledge source.

TL;DR: COPS, an environment for distributed problem solving in networks of heterogeneous computers, intended for problems with coarse grains of parallelism, is described.

TL;DR: The various aspects of DESIGNER, which is a hybrid, integrated, conferring expert system (HICEX), are discussed, currently extending DESIGNer's capabilities to address the other aspects of the plastics design problem such as part design, plastics processing selection, etc.

TL;DR: This paper presents a method for representation and reasoning about causal relations within the framework of modal logic, and presents a tableau procedure which essentially stands for the model.

TL;DR: The mechanical engineering community working in AI should concentrate on the codification of mechanical information for problem description and computer scientists should concentrate their efforts on the generation of these new AI techniques.