Although computer speed has steadily increased and memory is getting cheaper, the need for storage managers to deal efficiently with applications that cannot be held into main memory is vital. Dealing with large quantities of clauses implies the use of persistent knowledge and thus, indexing methods are essential to access efficiently the subset of clauses relevant to answering a query. We introduce PerKMan, a storage manager that uses G-trees, and aims at efficient manipulation of large amounts of persistent knowledge. PerKMan may be connected to Prolog systems that offer an external C language interface. As well as the fact that the storage manager allows different arguments of a predicate to share a common index dimension in a novel manner, it indexes rules and facts in the same manner. PerKMan handles compound terms efficiently and its data structures adapt their shape to large dynamic volumes of clauses, no matter what the distribution. The storage manager achieves fast clause retrieval and reasonable use of disk space. 相似文献
The economic theory of rationality promises to equal mathematical logic in its importance for the mechanization of reasoning. We survey the growing literature on how the basic notions of probability, utility, and rational choice, coupled with practical limitations on information and resources, influence the design and analysis of reasoning and representation systems. 相似文献
This paper presents a project undertaken for the European Space Agency (ESA). The project is developing a knowledge based system for planning and scheduling of activities for spacecraft assembly, integration and verification (AIV). The system extends to the monitoring of plan execution and the plan repair phases.
The objectives of the contract are to develop an operational kernel of a planning, scheduling and plan repair tool, called OPTIMUM-AIV, and to provide facilities which will allow individual projects to customize the kernel to suit its specific needs. The kernel shall consist of a set of software functionalities for assistance in the initial specification of the AIV plan, in the verification and generation of valid plans and schedules for the AIV activities, and in interactive monitoring and execution problem recovery for the detailed AIV plans. Embedded in OPTIMUM-AIV are external interfaces which allow integration with alternative scheduling systems and project databases.
The current status of the OPTIMUM-AIV project, as of May 1991, is that the architectural design of the system has been agreed on by ESTEC/ESA and detailed design and implementation is now underway, expecting a final delivery in October of 1991. 相似文献
We consider noninteractive zero-knowledge proofs in the shared random string model proposed by Blum et al. [5]. Until recently
there was a sizable polynomial gap between the most efficient noninteractive proofs for NP based on general complexity assumptions
[11] versus those based on specific algebraic assumptions [7]. Recently, this gap was reduced to a polylogarithmic factor
[17]; we further reduce the gap to a constant factor. Our proof system relies on the existence of one-way permutations (or
trapdoor permutations for bounded provers).
Our protocol is stated in the hidden bit model introduced by Feige et al. [11]. We show how to prove that an n -gate circuit is satisfiable, with error probability 1/nO(1) , using only O(n lg n) random committed bits. For this error probability, this result matches to within a constant factor the number of committed
bits required by the most efficient known interactive proof systems.
Received 20 November 1995 and revised 7 October 1996 相似文献
Computers have become the main tool used in Ground Water Quality Management (GWQM). Computer software has been developed to encapsulate, process and present information on groundwater pollution problems. Continuing demands for more efficient handling of information have resulted in increasing integration of the software into Decision Support Systems (DSSs). Encapsulation and integration of both quantitative (numerical) and qualitative (knowledge) information are required to support decision-making processes. A review of current achievements in the software integration and especially in knowledge encapsulation reveals no clear developing directions (research lines) in these fields. Attention must be therefore directed to: (1) the main GWQM tasks, seen in the light of knowledge encapsulation, and (2) postulates and techniques of Artificial Intelligence (AI) related to knowledge encapsulation and DSS development. The case-specific nature of groundwater pollution problems and a lack of formalised expertise in GWQM are the main difficulties in development of knowledge-containing systems. Work on the taxonomy of GWQM tasks and related knowledge is recommended to enable broader application of AI in knowledge encapsulation, as well as in development of DSSs for GWQM as a whole. 相似文献