LPA Announce VisiRule Update with New Web Demos
(PRWEB) August 21, 2011
VisiRule is a powerful modeling tool that allows developers of enterprise application design and deliver policy-based systems, expert systems, and knowledge-based systems as interactive Web applications. The experts simply get their business decision logic using a point-and-click paradigm and to specify conditional logic can be used to analyze the user input to relevant points of connection.
This means that business experts no longer need to hire programmers to build technical decision support systems - they just need to understand and organize their own decision-making. By providing a rich graphical environment completely oriented modeling decision VisiRule helps to make this very thing.
APL has developed a collection of demos VisiRule very focused on its website in fields as diverse as: http://www.lpa.co.uk/vrs_dem.htm
Every demo shown in Table VisiRule and options to see which questions and answers have so far been given in the table and where the session progressed. In addition, with some demos simplest VisiRule was used to calculate all possible combinations of input and output as an XML table.
Like all technologies APL, VisiRule is rooted in a logic-based programming. This ensures a high level of referential integrity and provides the basis for the audit process and audit methods in terms of completeness and consistency.The rules are naturally expressed in a logical and relationships between objects defined in a uniform and consistent. The delivery mechanism underlying uses logical inference to deduce and draw information. There is a close relationship between the model and traceable graph and the generated rules.
LPA provides an integrated suite of tools for building intelligent rule-based systems. These tools for AI programming, based on logic, case-based reasoning, data mining, fuzzy logic, dealing with uncertainty, expertsystems, visual programming, intelligent agents.This architecture provides a multi-layered software development and integration.
Overview and Tutorial on Artificial Intelligence Systems
Humans have a strong fascination with the idea of machines that can think. It is a
recurring theme in fiction and the movies, from Hal to the Terminator to The
Matrix. Whether a man-made artifact can think is still the subject of debate by
philosophers. This paper explores different aspects of term artificial intelligence
(or AI) and provides an overview of how this technology is being used today.
Defining artificial intelligence is somewhat controversial, because there is no
single definition of intelligence.
This paper has provided an overview of artificial intelligence and its applications.
Artificial intelligence is not a single thing; it is many things. A distinction is often
made between conventional artificial intelligence, which is based upon machine
learning, and computational intelligence, which applies iteration and computation
to generate intelligent agents. Conventional AI relies on symbolic logic and
formalism and is considered a top-down approach. Computational intelligence,
sometimes known as soft computing, uses training based on empirical data and
is more of a bottom-up approach.
Four areas of conventional AI were examined. Expert systems use rule-based
inference engines to simulate reasoning. Case-based reasoning tries to apply
previous experience to the current problem. Behavior-based AI uses sets of
semi-autonomous agents to solve problems. Bayesian networks model
knowledge by using probabilities and graph theory to draw inferences.
Two types of computational intelligence systems were examined. Neural
networks consist of networks of cooperating nodes that are trained by a series of
inputs. Fuzzy logic is a system of logic that allows for imprecise information and
solves problems with incomplete information.
All these techniques have successful applications in use today. Artificial
intelligence is improving our lives in numerous ways, even when there is no
widespread agreement on exactly what artificial intelligence is.
Logic-based Approach Logic Agent Knowledge Modal - Bookshelf
Reasoning about knowledge
Thus, knowledge is expressed syntactically, by modal operators on formulas. We call this the logic-based approach. It is the approach that traditionally has ...From modal logic to deductive databases, introducing a logic based approach to artificial intelligence
1.3.2 Modal logic and reasoning about knowledge As an example to illustrate how the axioms of modal logic can be used to reason about knowledge agents ...Computational logic in multi-agent systems, 5th international workshop, CLIMA V, Lisbon, Portugal, September 29-30, 2004 : revised selected and invited papers
We show that for a MDLP P and a candidate model M, if P is acyclic to some ... Particularly in logic based multi-agent systems where knowledge of an agent ...Intelligent Agents and Multi-Agent Systems, 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Hanoi, Vietnam, December 15-16, 2008, Proceedings
4 Discussion We have outlined a modal logic based approach for knowledge ... of our framework and have completely neglected the multi-agent aspect. ...Rough Set and Knowledge Technology, 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings
A group G of agents has distributed knowledge of φ,ifthe combined ... As in the logic-based approach, we start out with a universe S of possible worlds. ...Day-after-day Posts Directory
Epistemic modal logic - Wikipedia, the free encyclopedia
Epistemic modal logic is a subfield of modal logic that is concerned with reasoning about knowledge. ... while the logic-based approach uses the system of modal logic. ...
Knowledge Assesment: A Modal Logic Approach
The modal logic KT45 (also called S5) is usually used to reason ... Our approach is different when com- pared to other modal logic theories of knowledge in ...
Knowledge Assesment: A Modal Logic Approach
We have outlined a modal logic based approach for knowledge assessment where ques ... Our approach is different when compared to other modal logic the ...
Epistemic modal logic: Definition from Answers.com
Epistemic modal logic is a subfield of modal logic that is concerned with reasoning about knowledge. ... while the logic-based approach uses the system of modal logic. ...
Epistemic logic
Epistemic modal logic is a subfield of modal logic that is concerned with reasoning about knowledge. While epistemology has a long philosophical tradition...