An Architecture for Making Object-Oriented Systems Available from Prolog
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David Michehl Subject
MEMORANDUM To: File No. S7-26-15 From: David Michehl Subject: Summary of meeting with representatives from SWIFT Date: January 28, 2016 On January 28, 2016, representatives from the Securities and Exchange Commission’s Division of Trading and Markets (Michael Gaw, Tom Eady, Yvonne Fraticelli, David Michehl, Kathleen Gross, Sarah Albertson, and Justin Pica) and Division of Economic and Risk Analysis (Narahari Phatak, Burt Porter, Walter Hamscher, Hermine Wong, Yee Loon, Mike Willis) met with Paul Janssens (SWIFT). The SWIFT representative discussed issues relating to the use of ISO 20022. In addition, Mr. Janssens provided the staff with an information paper related to ISO 20022. Information paper Standards – A Value Proposition for Regulators Contents About Standards .....................................................................................................3 About SWIFT & Standards .....................................................................................4 Standards & Regulation .........................................................................................6 About ISO 20022 .....................................................................................................8 ISO 20022 & Regional/Global Adoption ................................................................9 Conclusion ............................................................................................................11 3 Standards – A Value Proposition for Regulators About Standards Norms, models, rules, measures, Rather less obvious -
ALGORITHMS for ARTIFICIAL INTELLIGENCE in Apl2 By
MAY 1986 REVISED Nov 1986 TR 03·281 ALGORITHMS FOR ARTIFICIAL INTELLIGENCE IN APl2 By DR JAMES A· BROWN ED EUSEBI JANICE COOK lEO H GRONER INTERNATIONAL BUSINESS MACHINES CORPORATION GENERAL PRODUCTS DIVISION SANTA TERESA LABORATORY SAN JOSE~ CALIFORNIA ABSTRACT Many great advances in science and mathematics were preceded by notational improvements. While a g1yen algorithm can be implemented in any general purpose programming language, discovery of algorithms is heavily influenced by the notation used to Lnve s t Lq a t.e them. APL2 c o nce p t.ua Lly applies f unc t Lons in parallel to arrays of data and so is a natural notation in which to investigate' parallel algorithins. No c LaLm is made that APL2 1s an advance in notation that will precede a breakthrough in Artificial Intelligence but it 1s a new notation that allows a new view of the pr-obl.ems in AI and their solutions. APL2 can be used ill problems tractitionally programmed in LISP, and is a possible implementation language for PROLOG-like languages. This paper introduces a subset of the APL2 notation and explores how it can be applied to Artificial Intelligence. 111 CONTENTS Introduction. • • • • • • • • • • 1 Part 1: Artificial Intelligence. • • • 2 Part 2: Logic... · • 8 Part 3: APL2 ..... · 22 Part 4: The Implementations . · .40 Part 5: Going Beyond the Fundamentals .. • 61 Summary. .74 Conclus i ons , . · .75 Acknowledgements. • • 76 References. · 77 Appendix 1 : Implementations of the Algorithms.. 79 Appendix 2 : Glossary. • • • • • • • • • • • • • • • • 89 Appendix 3 : A Summary of Predicate Calculus. · 95 Appendix 4 : Tautologies. · 97 Appendix 5 : The DPY Function. -
Event Management for the Development of Multi-Agent Systems Using Logic Programming
Event Management for the Development of Multi-agent Systems using Logic Programming Natalia L. Weinbachy Alejandro J. Garc´ıa [email protected] [email protected] Laboratorio de Investigacio´n y Desarrollo en Inteligencia Artificial (LIDIA) Departamento de Ciencias e Ingenier´ıa de la Computacio´n Universidad Nacional del Sur Av. Alem 1253, (8000) Bah´ıa Blanca, Argentina Tel: (0291) 459-5135 / Fax: (0291) 459-5136 Abstract In this paper we present an extension of logic programming including events. We will first describe our proposal for specifying events in a logic program, and then we will present an implementation that uses an interesting communication mechanism called \signals & slots". The idea is to provide the application programmer with a mechanism for handling events. In our design we consider how to define an event, how to indicate the occurrence of an event, and how to associate an event with a service predicate or handler. Keywords: Event Management. Event-Driven Programming. Multi-agent Systems. Logic Programming. 1 Introduction An event represents the occurrence of something interesting for a process. Events are useful in those applications where pieces of code can be executed automatically when some condition is true. Therefore, event management is helpful to develop agents that react to certain occurrences produced by changes in the environment or caused by another agents. Our aim is to support event management in logic programming. An event can be emitted as a result of the execution of certain predicates, and will result in the execution of the service predicate or handler. For example, when programming a robot behaviour, an event could be associated with the discovery of an obstacle in its trajectory; when this event occurs (generated by some robot sensor), the robot might be able to react to it executing some kind of evasive algorithm. -
A View of the Fifth Generation and Its Impact
AI Magazine Volume 3 Number 4 (1982) (© AAAI) Techniques and Methodology A View of the Fifth Generation And Its Impact David H. D. Warren SRI International Art$icial Intellagence Center Computer Scaence and Technology Davzsaon Menlo Park, Calafornia 94025 Abstract is partly secondhand. I apologise for any mistakes or misin- terpretations I may therefore have made. In October 1981, .Japan announced a national project to develop highly innovative computer systems for the 199Os, with the title “Fifth Genera- tion Computer Systems ” This paper is a personal view of that project, The fifth generation plan its significance, and reactions to it. In late 1978 the Japanese Ministry of International Trade THIS PAPER PRESENTS a personal view of the <Japanese and Industry (MITI) gave ETL the task of defining a project Fifth Generation Computer Systems project. My main to develop computer syst,ems for the 199Os, wit,h t,he title sources of information were the following: “Filth Generation.” The prqject should avoid competing with IBM head-on. In addition to the commercial aspects, The final proceedings of the Int,ernational Conference it should also enhance Japan’s international prestige. After on Fifth Generat,ion Computer Systems, held in Tokyo in October 1981, and the associated Fifth Generation various committees had deliberated, it was finally decided research reports distributed by the Japan Information to actually go ahead with a “Fifth Generation Computer Processing Development Center (JIPDEC); Systems” project in 1981. The project formally started in April, 1982. Presentations by Koichi Furukawa of Electrotechnical The general technical content of the plan seems to be Laboratory (ETL) at the Prolog Programming Environ- largely due to people at ETL and, in particular, to Kazuhiro ments Workshop, held in Linkoping, Sweden, in March 1982; Fuchi. -
CSC384: Intro to Artificial Intelligence Brief Introduction to Prolog
CSC384: Intro to Artificial Intelligence Brief Introduction to Prolog Part 1/2: Basic material Part 2/2 : More advanced material 1 Hojjat Ghaderi and Fahiem Bacchus, University of Toronto CSC384: Intro to Artificial Intelligence Resources Check the course website for several online tutorials and examples. There is also a comprehensive textbook: Prolog Programming for Artificial Intelligence by Ivan Bratko. 2 Hojjat Ghaderi and Fahiem Bacchus, University of Toronto What‟s Prolog? Prolog is a language that is useful for doing symbolic and logic-based computation. It‟s declarative: very different from imperative style programming like Java, C++, Python,… A program is partly like a database but much more powerful since we can also have general rules to infer new facts! A Prolog interpreter can follow these facts/rules and answer queries by sophisticated search. Ready for a quick ride? Buckle up! 3 Hojjat Ghaderi and Fahiem Bacchus, University of Toronto What‟s Prolog? Let‟s do a test drive! Here is a simple Prolog program saved in a file named family.pl male(albert). %a fact stating albert is a male male(edward). female(alice). %a fact stating alice is a female female(victoria). parent(albert,edward). %a fact: albert is parent of edward parent(victoria,edward). father(X,Y) :- %a rule: X is father of Y if X if a male parent of Y parent(X,Y), male(X). %body of above rule, can be on same line. mother(X,Y) :- parent(X,Y), female(X). %a similar rule for X being mother of Y A fact/rule (statement) ends with “.” and white space ignored read :- after rule head as “if”. -
18Th ABMF Agenda
28th ASEAN+3 Bond Market Forum (ABMF) Meeting And relevant meetings 18-21 June 2018 / Seinan Gakuin University, Fukuoka City, Japan DAY 3 – 20 June 2018 Venue: Multi-Purpose Hall, 1st Floor, Centennial Hall TIME PROGRAM ABMF Sub Forum 2 (SF2) Meeting 08:30 – 09:00 Registration 09:00 – 09:05 Opening Remarks by Mr. Seung-Kwon Lee, SF2 Chair Session 12: RegTech in US 09:05 – 09:40 by Mr. Hudson Hollister, Data Transparency Coalition (DTC) via Webex - Financial Transparency Act in US Session 13: Enhanced Supervisions and Surveillance with Technology by Mr. Lim Kok Eng, Analytics Department, Securities Commission Malaysia 09:40 – 10:20 - XBRL submission platform - Web crawling robots - Artificial Intelligence for sentiment and text mining capability 10:20 – 10:45 Coffee break Session 14: Panel Discussion: Global trends in data collection and standardization for more structured data - What are the drivers of the trends? What are benefits and costs of building structured data environment? - What needs to be standardized (ISO 20022, XBRL, LEI, ISIN, CFI, etc)? - How can we standardize? What is the role of international body? - What does Asia need to understand and prepare? 10:45 – 12:15 Panelist: Mr. Francois Laurent, European Central Bank, ISO TC68 Mr. Masayuki Tagai, JP Morgan, ISO 20022 RMG Vice Convener Mr. Yoshiaki Wada, NTT Data, Chair of XBRL Asia Round Table Mr. Beju Shah, Bank of England Ms. Meiko Morioka, SWIFT Moderator: ADB 12:15 – 12:25 Wrap-up by ADB Secretariat 12:25 – 12:30 Closing Remarks by Mr. Seung-Kwon Lee, SF2 Chair 12:30 – 13:30 Lunch Farewell Dinner, Café d' Erte, 3rd floor, Hotel Clio Court Hakata, 18:30 – 20:30 5-3 Hakataekichuogai , Hakataku, Hakata, 812-0012 Fukuoka RegTech in the United States Hudson Hollister, Executive Director, Data Coalition @hudsonhollister What is RegTech? “RegTech” refers to technological solutions that perform one of the following functions: ● Automate regulatory compliance or regulatory reporting tasks. -
Double Volume Cap Mechanism: the Impact on EU Equity Markets
ESMA Working Paper No. 3, 2020 DVC mechanism: The impact on EU equity markets Claudia Guagliano, Cyrille Guillaumie, Paul Reiche, Alessandro Spolaore and Arianna Zanon September 2020| ESMA/2020/ WP-2020-3 ESMA Working Paper No. 3, 2020 2 ESMA Working Paper, No. 3, 2020 Authors: Claudia Guagliano, Cyrille Guillaumie, Paul Reiche, Alessandro Spolaore and Arianna Zanon Authorisation: This Working Paper has been approved for publication by the Selection Committee and reviewed by the Scientific Committee of ESMA. © European Securities and Markets Authority, Paris, 2020. All rights reserved. Brief excerpts may be reproduced or translated provided the source is cited adequately. Legal reference of this Report: Regulation (EU) No 1095/2010 of the European Parliament and of the Council of 24 November 2010 establishing a European Supervisory Authority (European Securities and Markets Authority), amending Decision No 716/2009/EC and repealing Commission Decision 2009/77/EC, Article 32 “Assessment of market developments”, 1. “The Authority shall monitor and assess market developments in the area of its competence and, where necessary, inform the European Supervisory Authority (European Banking Authority), and the European Supervisory Authority (European Insurance and Occupational Pensions Authority), the ESRB and the European Parliament, the Council and the Commission about the relevant micro- prudential trends, potential risks and vulnerabilities. The Authority shall include in its assessments an economic analysis of the markets in which financial market participants operate, and an assessment of the impact of potential market developments on such financial market participants.” The charts and analyses in this report are, fully or in parts, based on data not proprietary to ESMA, including from commercial data providers and public authorities. -
Identifiers Documentation
identifiers Documentation Release 0.4.1 Michael Amrhein Dec 11, 2020 Contents 1 Overview 3 1.1 Identifiers standardized by GS1.....................................3 1.2 Identifiers for publications........................................3 1.3 Identifiers for banks and bank accounts.................................4 1.4 Identifiers for exchanges and exchange traded financial assets.....................4 1.5 Identifiers for Value Added Taxation...................................4 2 Common Features 5 3 Identifiers standardized by GS17 4 Identifiers for publications 15 5 Identifiers for banks and bank accounts 19 6 Identifiers for exchanges and exchange traded financial assets 23 7 European Union VAT Registration Number 25 Python Module Index 27 Index 29 i ii identifiers Documentation, Release 0.4.1 This package provides classes that can be used to create and check identifiers for unique objects or unique classes of objects according to international standards. Definition from Wikipedia: “An identifier is a name that identifies (that is, labels the identity of) either a unique object or a unique class of objects, where the “object” or class may be an idea, physical [countable] object (or class thereof), or physical [noncountable] substance (or class thereof). The abbreviation ID often refers to identity, identification (the process of identifying), or an identifier (that is, an instance of identification). An identifier may be a word, number, letter, symbol, or any combination of those.” Contents: Contents 1 identifiers Documentation, Release 0.4.1 2 Contents CHAPTER 1 Overview 1.1 Identifiers standardized by GS1 See http://www.gs1.org/id-keys. • Global Trade Item Number (GTIN) Used to identify products and services. Variants: GTIN12, GTIN13, GTIN14 • Global Location Number (GLN) Used to identify parties and locations, for example companies, warehouses, factories and stores. -
DOC: Advent Portfolio Exchange Release 3
Public SQL Views in Advent Portfolio Exchange Release 3 CONFIDENTIAL — DO NOT DISTRIBUTE NOTICE The software described in this document is furnished under a license agreement. The software may be used or copied only in accordance with the terms of the agreement. No part of this document may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, for any purpose without the express written permission of Advent Software, Inc. Information in this document may be revised from time to time without notice. This document, which is provided solely to Licensees of Advent Software, Inc., is confidential and proprietary. U.S. Government Users: Use, duplication, or disclosure is subject to the restrictions as set forth in the Rights in Technical Data and Computer Software clause at DFARS 252.227-7013 subparagraph (c)(1)(ii), or the Commercial Computer Software -- Restricted Rights at CFR 52.227-19, subparagraphs (c)(1) and (2), as applicable. Manufacturer is Advent Software, Inc. 600 Townsend Street, San Francisco, CA 94103 Copyright 2011 by Advent Software, Inc. All rights reserved. NOTE: All names of individuals that may appear in any displays herein are fictitious. Any similarity to the names of any persons living or dead is unintentional and strictly coincidental. Part number: APXSQL3U2b Release number: Advent Portfolio Exchange Release 3 Publication date: February 2011 Advent, the Advent logo, Advent Browser Reporting, Advent Corporate Actions, Advent INX, Advent Office, AdventOnDemand, Advent Packager, Advent Partner, Advent Portfolio Exchange, Advent Revenue Center, Advent Rules Manager, Advent Software, Inc., Advent TrustedNetwork, Advent Warehouse, Axys, Geneva, Moxy, MyAdvent, Portfolio Exchange, Qube, Rex, SmartClick, and WealthLine are registered trademarks of Advent Software, Inc. -
Global Equity Data Fundamentals Confidential
Morningstar, Inc. Global Equity Data Fundamentals Confidential Global Equity Data User’s Definitions Operational page 2 Profile page 6 Proprietary page 8 Ratios page 12 Valuation page 18 Raw Fundamentals Income Statement page 21 Balance Sheet page 43 Cash Flow page 71 Earnings Report/EPS and Share page 90 TTM page 92 Price/Returns page 92 Alpha/Beta page 96 Statistics page 97 Currency Exchange page 98 Corporate Calendar page 99 Ownership/Short Interest page 99 Ownership Detail page 101 Insider Trading Activities page 101 Corporate Actions page 103 Executive Insight page 108 Consensus Recommendations page 113 Consensus Estimates page 114 Say on Pay page 120 Voting Report page 121 Quantitative Data page 122 Questions: 1-800-775-8118 or [email protected] 1 Morningstar, Inc. Global Equity Data Fundamentals Confidential Operational CompanyId (1) 10-digit unique and unchanging Morningstar identifier assigned to every company. ShortName (2) 25-character max abbreviated name of the firm. In most cases, the short name will simply be the Legal Name less the “Corporation”, “Corp.”, “Inc.”, “Incorporated”, etc… StandardName (3) The English translation of the foreign legal name if/when applicable. LegalName (4) The full name of the registrant as specified in its charter, and most often found on the front cover of the 10K/10Q/20F filing. CountryId (5) 3 Character ISO code of the country where the firm is domiciled. See separate reference document for Country Mappings. CIK (6) The Central Index Key; a corporate identifier assigned by the Securities and Exchange Commission (SEC). CompanyStatus (9) At the Company level; each company is assigned to 1 of 3 possible status classifications; (U) Public, (V) Private, or (O) Obsolete: Public-Firm is operating and currently has at least one common share class that is currently trading on a public exchange. -
Logic Programming Lecture 19 Tuesday, April 5, 2016 1 Logic Programming 2 Prolog
Harvard School of Engineering and Applied Sciences — CS 152: Programming Languages Logic programming Lecture 19 Tuesday, April 5, 2016 1 Logic programming Logic programming has its roots in automated theorem proving. Logic programming differs from theorem proving in that logic programming uses the framework of a logic to specify and perform computation. Essentially, a logic program computes values, using mechanisms that are also useful for deduction. Logic programming typically restricts itself to well-behaved fragments of logic. We can think of logic programs as having two interpretations. In the declarative interpretation, a logic pro- gram declares what is being computed. In the procedural interpretation, a logic program program describes how a computation takes place. In the declarative interpretation, one can reason about the correctness of a program without needing to think about underlying computation mechanisms; this makes declarative programs easier to understand, and to develop. A lot of the time, once we have developed a declarative program using a logic programming language, we also have an executable specification, that is, a procedu- ral interpretation that tells us how to compute what we described. This is one of the appealing features of logic programming. (In practice, executable specifications obtained this way are often inefficient; an under- standing of the underlying computational mechanism is needed to make the execution of the declarative program efficient.) We’ll consider some of the concepts of logic programming by considering the programming language Prolog, which was developed in the early 70s, initially as a programming language for natural language processing. 2 Prolog We start by introducing some terminology and syntax. -
Intro to Prolog Chapter 11 Prolog, Which Stands for Programming In
Intro to Prolog Chapter 11 Prolog, which stands for PROgramming in LOGic, is the most widely available language in the logic programming paradigm using the mathematical notions of relations and logical inference. Prolog is a declarative language rather than procedural, meaning that rather than describing how to compute a solution, a program consists of a data base of facts and logical relationships (rules) that describes the relationships which hold for the given application. Rather then running a program to obtain a solution, the user asks a question. When asked a question, the run time system searches through the data base of facts and rules to determine (by logical deduction) the answer. Often there will be more than one way to deduce the answer or there will be more than one solution, in such cases the run time system may be asked to backtrack and find other solutions. Prolog is a weakly typed language with dynamic type checking and static scope rules. Prolog is typically used in artificial intelligence applications such as natural language interfaces, automated reasoning systems and expert systems. Expert systems usually consist of a data base of facts and rules and an inference engine, the run time system of Prolog provides much of the services of an inference engine. Basic Propositional Logic Propositional logic provides the foundation for programming in Prolog. A proposition is formed using the following rules: • true and false are propositions • variables p,q, r,… etc. that take on values true or false are propositions • Boolean operators ∧ ∨ ¬ ⇒ and = used to form more complex propositions Book uses ⊃ in place of ⇒ for implication, where p ⇒ r is equivalent to ¬p ∨ r.