Kabushiki Kaisha Toshiba

Shoichi Kojima

Katsumi Narimatsu

Dai Araki

Tetsuya Kitagawa

Naomichi Sueda

Minako Sanjoh

A scheduling computer system optimizes the match between allocation of processes and resources. To do so, the system temporarily allocates the resources to a process selected based on the attributes of the resources and the processes, as well as the processing start and desired processing end times. In doing so, the system avoids selecting processes to which resources have been already allocated. The system also determines a resulting time value and a resulting fitness value based on the temporary allocation. Using the resulting time value and the resulting fitness value, the system determines the optimum resource for a particular process and allocates the resource to the process accordingly. The system also generates a scheduling chart illustrating the resource allocation.

Method for allocating resources and processes for design and production

In an inference system, an inference mode and a knowledge editing mode can conduct inference with an inherent effect by using knowledge represented by frames in a hierarchical structure, the frames having a relationship of a parent frame being higher in the hierarchical structure than a child frame thereof. Such an inference system includes a mode determining section for selecting the knowledge editing mode or the inference mode, a storage area for storing only information intrinsic to a frame in the hierarchical structure into the frame when the knowledge editing mode is selected by the mode determining section, and a storage area for storing into the frame both information intrinsic to the frame and information inherited by the frame from frames higher in the hierarchical structure than the frame when the inference mode is selected by the mode determining section.

Inference system having a frame structure and method of storing

Disclosed herein is a practical knowledge acquisition system, in which, when a diagnosis is made using a knowledge base in the form of an associative network turns out to be erroneous, the network is analyzed backwards from the node representing a desired solution, thereby detecting a node where the backward analysis route joins that analysis route in the network which has resulted in the erroneous diagnosis. The node where the two analysis routes join is identified as one possibility where an error has occurred in the diagnosis. The diagnostic knowledge applied at this node is seen as an candidate to be modified many modification plans for the incorrect knowledge is proposed, the diagnostic knowledge base can be modified with high efficiency.

Knowledge acquisition system

An inference system is disclosed, the inference system comprising rule storing portion for storing a plurality of production rules, each of which is composed of an 'if statement' and a 'then statement', fact information storing portion for storing fact information, condition comparing portion for comparing the 'if statement' of each production rule stores in the rule storing portion with the fact information stored in the fact information storing portion successively until a resource of the process system or the inference system is consumed, conflict resolving portion for selecting one of at least one production rule obtained as the results of the comparison by the condition comparing portion when the resource is consumed, and rule executing portion for executing the 'then statement' of the production rule being selected by the conflict resolving.

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Fujisawa, Japan

Shoichi Kojima