ICaR systems


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Presentation of ICaR expert systems project

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ICaR systems

  1. 1. ICAR SYSTEMS Information, Consulting and Reasoning project We develop software platform and expert systems for use in tax, legal and other knowledge domains. http://www.icarsystems.org Sergiy Fedorov - CEO, inventor and patent holding 1997 – 2010 several copyrights and patent pending in Ukraine and the USA 1
  2. 2. PROBLEM ADDRESSED  highly regulated legal environment  regulations surround us and require for our attention  ability to easily find text of law does not solve the problem  regulations may be complex, cumbersome, or ambiguous, have referrals to other laws, etc. Current solutions are: to learn the subject by self  spending time and effort, or pass it to an expert  spending money TITLE 26 > Subtitle A > CHAPTER 1 > Subchapter N > PART I > § 861 § 861. Income from sources within the United States (a) Gross income from sources within United States The following items of gross income shall be treated as income from sources within the United States: (1) Interest Interest from the United States or the District of Columbia, and interest on bonds, notes, or other interest-bearing obligations of noncorporate residents or domestic corporations not including— (A) interest from a resident alien individual or domestic corporation, if such individual or corporation meets the 80-percent foreign business requirements of subsection (c)(1), (B) interest— (i) on deposits with a foreign branch of a domestic corporation or a domestic partnership if such branch is engaged in the commercial banking business, and (ii) on amounts satisfying the requirements of subparagraph (B) of section 871 (i)(3) which are paid by a foreign branch of a domestic corporation or a domestic partnership, and (C) in the case of a foreign partnership, which is predominantly engaged in the active conduct of a trade or business outside the United States, any interest not paid by a trade or business engaged in by the partnership in the United States and not allocable to income which is effectively connected (or treated as effectively connected) with the conduct of a trade or business in the United States. (2) Dividends The amount received as dividends— (A) from a domestic corporation other than a corporation which has an election in effect under section 936, or 2
  3. 3. OUR SOLUTION • Break down complex text regulations into Expert systems Knowledge Bases • Provide Users service of automated, interactive, human language, interview Consulting and Intelligent Document Creation We make consulting (the use of knowledge):  Easily accessible - cloud service –computers, mobiles - any platform  Easily used – intuitively understandable – consulting is a process of user interview on the consulting case with semi natural language interface,  Cover specific knowledge domain and FAQs,  Ability of decisions to be Explained, run What-If and How-To consulting,  Building consulting case document or database. 3
  4. 4. CONSULTING EXPERT SYSTEMS Consulting with ICaR is as easy as: 1) Finding appropriate consultation, 2) Answering expert questions in a defined context, 3) Receiving expert's opinion in a Report of consulting. Reasoning with ICaR is as easy as: 1) Getting expert's Explanation on any of the made decisions, 2) Running WHAT IF modeling consulting, 3) Running HOW TO planning consulting. On-line Demo at http://www.icarsystems.org/icar-on-line-consulting 4
  5. 5. OUR UNIQUE CAPABILITIES:  ICaR Knowledge Base data structure and Inference Engine - a U.S. patent pending software.  Separation of Knowledge (legal logic) from the Procedure applying software (Inference engine).  Consulting in semi-natural Question-Answer mode, Explanation, What-If and How-To reasoning.  ICaR .Net object providing full web functionality.  U.S. Tax state of art Expert Systems.  Intelligent document preparation software. 5
  6. 6. TECHNOLOGY OVERVIEW We developed (U.S. patent pending): A. Structure to represent User Information and Knowledge IF- THEN Rules in a Knowledge Base in Relational model form, capture and store them in relational database, B. Inference Engine which allows to apply Knowledge Base to the User Information for making Consulting decision, Reasoning Why, What-If and How-To, over this information and Building Documents conditionally based on the User Information, C. ICaR Expert system shell that uses ICaR Inference Engine .NET object and Knowledge Base structure. 6
  7. 7. KNOWLEDGE DOMAINS Knowledge domain to automate: • US Tax rules and regulations • Medical domains • Other identification or “diagnosis” knowledge domains • Educational use Technology and Current Product Limitations: • Expert hours consuming on first round of knowledge acquisition • Symbol manipulation vs. multimedia recognition • Use for complex, not simple knowledge domains 7
  8. 8. CONTACT INFORMATION: Sergiy Fedorov ICaR Systems spfedorov@icarsystems.org +38 050 3114183 November, 2010 8