Perspectives on the use of rule-based control

Issues regarding the application of artificial intelligence techniques to real-time control are discussed. Advantages associated with knowledge-based programming are discussed. A proposed rule-based control technique is summarized and applied to the problem of automated aircraft emergency procedure execution. Although emergency procedures are by definition predominately procedural, their numerous evaluation and decision points make a declarative representation of the knowledge they encode highly attractive, resulting in an organized and easily maintained software hierarchy. Simulation results demonstrate that real-time performance can be obtained using a microprocessor-based controller. It is concluded that a rule-based control system design approach may prove more useful than conventional methods under certain circumstances, and that declarative rules with embedded procedural code provide a sound basis for the construction of complex, yet economical, control systems

A rapid prototyping/artificial intelligence approach to space station-era information management and access

Applications of rapid prototyping and Artificial Intelligence techniques to problems associated with Space Station-era information management systems are described. In particular, the work is centered on issues related to: (1) intelligent man-machine interfaces applied to scientific data user support, and (2) the requirement that intelligent information management systems (IIMS) be able to efficiently process metadata updates concerning types of data handled. The advanced IIMS represents functional capabilities driven almost entirely by the needs of potential users. Space Station-era scientific data projected to be generated is likely to be significantly greater than data currently processed and analyzed. Information about scientific data must be presented clearly, concisely, and with support features to allow users at all levels of expertise efficient and cost-effective data access. Additionally, mechanisms for allowing more efficient IIMS metadata update processes must be addressed. The work reported covers the following IIMS design aspects: IIMS data and metadata modeling, including the automatic updating of IIMS-contained metadata, IIMS user-system interface considerations, including significant problems associated with remote access, user profiles, and on-line tutorial capabilities, and development of an IIMS query and browse facility, including the capability to deal with spatial information. A working prototype has been developed and is being enhanced

Preliminary Design of the APIARY for VLSI Support of Knowledge-Based Systems

This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory's artificial intelligence research is provided in part by the Office of Naval Research of the Department of Defense under Contract N00014-75-C-0522.Knowledge-based applications will require vastly increased computational resources to achieve their goals. We are working on the development of a VLSI Message Passing Architecture to meet this need. As a first step we present the preliminary design of the APIARY system in this paper. The APIARY is currently in an early stage of implementation at the MIT Artificial Intelligence Laboratory.MIT Artificial Intelligence Laboratory Department of Defense Office of Naval Researc

MARS: aRISC-based architecture for Lisp

[[abstract]]A RISC-based chip set architecture for Lisp is presented in this paper. This architecture contains an instruction fetch unit (IFU) and three processing units—integer processing unit (IPU), floating-point processing unit (FPU), and list processing unit (LPU). The IFU feeds instructions to the processing units and supports fast procedure call/return and branch, the IPU and FPU execute operations of different data type, and the LPU handles the Lisp runtime environment, dynamic type checking, and fast list access. In this architecture, the critical path of complex register file access and ALU operation is distributed into the LPU and IPU, and the tracing of a list can be done quickly by the non-delayed car or cdr instructions of the LPU. Performance simulation shows that this architecture would be about 6.2 times faster than SPUR and about 2.2 times faster than MIPS-X.[[booktype]]紙本[[booktype]]電子

Rediflow architecture prospectus

Journal ArticleRediflow is intended as a multi-function (symbolic and numeric) multiprocessor, demonstrating techniques for achieving speedup for Lisp-coded problems through the use of advanced programming concepts, high-speed communication, and dynamic load-distribution, in a manner suitable for scaling to upwards of 10,000 processors. An initial physical realization is proposed employing 16 nodes (initially in a hypercube topology), with processor, memory, and intelligent switch at each node

Parallel Ada benchmarks for the SVMS

The use of parallel processing paradigm to design and develop faster and more reliable computers appear to clearly mark the future of information processing. NASA started the development of such an architecture: the Spaceborne VHSIC Multi-processor System (SVMS). Ada will be one of the languages used to program the SVMS. One of the unique characteristics of Ada is that it supports parallel processing at the language level through the tasking constructs. It is important for the SVMS project team to assess how efficiently the SVMS architecture will be implemented, as well as how efficiently Ada environment will be ported to the SVMS. AUTOCLASS II, a Bayesian classifier written in Common Lisp, was selected as one of the benchmarks for SVMS configurations. The purpose of the R and D effort was to provide the SVMS project team with the version of AUTOCLASS II, written in Ada, that would make use of Ada tasking constructs as much as possible so as to constitute a suitable benchmark. Additionally, a set of programs was developed that would measure Ada tasking efficiency on parallel architectures as well as determine the critical parameters influencing tasking efficiency. All this was designed to provide the SVMS project team with a set of suitable tools in the development of the SVMS architecture