
	Where results make sense

Topic: Inference engine

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	The Road hits the rubber: Inference vs chaining (Site not responding. Last check: 2007-09-09)
		Inference engines are different from a rule engine in that it's able to derive new facts and use the new facts to infer a conclusion.
		The key distinction is that inference engines add and remove facts from the knowledgebase to arrive at a conclusion from incomplete data.
		I agree with the fact that the definition of inference engine might a bit vague in the literature, but so is the definition of e.g.
	woolfel.blogspot.com /2006/10/inference-vs-chaining.html (2820 words)

	Jena 2 Inference Support
		Once the preparation phase is complete the inference graph will act as if it were the union of all the statements in the original model together with all the statements in the internal deductions graph generated by the rule firings.
		When the inference Model is queried then the query is translated into a goal and the engine attempts to satisfy that goal by matching to any stored triples and by goal resolution against the backward chaining rules.
		Queries are answered by using the backward chaining LP engine, employing the merge of the supplied and generated rules applied to the merge of the raw and deduced data.
	jena.sourceforge.net /inference (11235 words)

	OE Handbook: Chapter 14. Using CycL Queries
		This section of the Handbook is devoted to the advanced inference parameters, a set of options that can be manipulated by users to change some of the behavior of the Cyc inference engine during backward inference (inference performed at ask time).
		Enabling HL predicate backchaining allows the inference engine to backchain on rules in which a positive literal (that is, a clause in the consequent of a rule) has an HL predicate (that is, a predicate with its own dedicated HL module - #$isa, #$genls, #$elementOf, and #$subsetOf are notable examples) in its 0th argument place.
		This inference parameter is similar to 'Enable HL predicate rule backchaining' in that it also allows the user access to rules not usually used by the inference engine.
	www.cyc.com /doc/handbook/oe/14-using-cycl-queries.html (5837 words)

	Edward Sazonov: Home Page
		Current implementation of the fuzzy engine allows tight integration of the fuzzy reasoning into Java software, where all evaluations are performed by the fuzzy engine, while manipulation of the control flow and input-output operations are performed in Java.
		The engine supports evaluation of fuzzy rules in the symbolic form; fuzzy and/or/not operations; arbitrary nesting of fuzzy expressions in the left part of a rule; multiple assignment operations in the right part of a rule; predefined and user-defined hedges; unconditional assignment operations; dynamically weighted rules; evaluation of single rules or rule blocks.
		Fuzzy inference engine for Java, fuzzy logic, fuzzy rules, linguistic variables, membership functions, fuzzy inference engine, fuzzy rules, inference engine, hedges.
	people.clarkson.edu /~esazonov/FuzzyEngine.htm (1447 words)

	XML Schema Inference - Mono
		For schema inference implementors: when processing schema inference, you must be always careful that the property you are going to use is not dependent on compilation.
		Merged inference is a such inference that examines if existing predefined type allows the input, and in case of invalidity it walks up base types and continue validation.
		The reason why such an inference is bad is that if the next value was "2" then it is not acceptable for xs:boolean and thus it must become xs:string (there is no chance to be xs:byte because there might be "true" or "false" values which xs:boolean accepts while xs:byte does not).
	www.mono-project.com /XML_Schema_Inference (3162 words)

	[No title]
		We have implemented an inference engine in order to achieve a high level of integration between the rules and the other components of the system.
		In first-generation rule based systems, the inference engine was assigned a special working memory, neatly separated from other data structures such as those manipulated by conventional code.
		All this is ensured by the inference engine in a manner transparent to the user.
	tecfa.unige.ch /tecfa/research/memolab/report93-app3.html (2930 words)

	APNET Demonstration Infrastructure: Network Inference Engine Beta
		Therefore, the inference engine is inevitably a user-centric device as opposed to a centralized oracle-like application.
		However, by separating the knowledge from the inference engine's internal representation and by employing a user-centric approach, choosing an inference engine is of small importance.
		A last remark about the inference engine and various extending technologies: some artifial intelligence techniques that might be used as inference engines can also be moved outside of the main execution loop and, instead, act as exernal experts.
	www.few.vu.nl /~wdb/projects/nie/doc.html (6618 words)

	-- Axioms of Web architecture
		This rule can be exchanged between two inference engines of the same type, but it does not as a rule make sense to anyone else.
		When the facts corresponding to all the rules of all the inference engines are put onto the web, then the great thing is that all the knowledge is represented in the same space.
		This effectivly is a reification of the non-monotonic system, an analysis not of penguins but of the inferenc system and what its state is. This may be so unweildly that it is only useful by systems which use th same inference system.
	www.w3.org /DesignIssues/Rules.html (1772 words)

	Inference Engine
		The knowledge processor, or inference engine, is the part of the expert system that finds solutions to problems.
		The inference engine uses its knowledge base to pose questions, to infer hypotheses and to deduce diagnostic conclusions.
		First, the inference engine starts with a general questionnaire to be asked to all participants.
	www.sleepeval.com /inference_engine.htm (423 words)

	Inference (Site not responding. Last check: 2007-09-09)
		Additionally, the inference engine uses specific colors to indicate its type of inference (covered further in Inference Types).
		Use an inference lock, which tells SketchUp not to waver from the direction it is currently inferring from, to solve this problem.
		Any of the inference conditions may be locked; along an axis direction, along an edge direction, on a face, from a point, parallel or perpendicular to an edge, and so on.
	download.sketchup.com /OnlineDoc/gsu_mac/B-UI/UI-Inference.htm (892 words)

	Inference and Computation Mobility with Jinni (Site not responding. Last check: 2007-09-09)
		Engines give transparent access to the underlying Java threads and are used to implement local or remote, lazy or eager findall operations, negation as failure, if-then-else, etc. at source level.
		Inference engines running on separate threads can cooperate through either predicate calls or through an easy to use flavor of the Linda coordination protocol.
		The inference rule of Jinni is called LD-resolution, consisting of repeatedly unfolding the leftmost goal in the body of the resolvent, seen as a clause with its head containing the answer pattern and its body the current state of the goal stack.
	logic.csci.unt.edu /tarau/research/NewJinniPapers/jpaper.html (4486 words)

	Inference Engine Issues in Business Rule Management Systems Must Be Addressed, Says IDC \| Tekrati Research News
		Business rule management systems continue to be vulnerable to delivering incoherent results due to reliance on an inference engine without associated measures for referential rule integrity, according to IDC.
		IDC believes that inference engines, which are the crown jewels of the BRMS market, have enormous IT potential, but the adoption of BRMS inference engines is highly contingent upon providing added measures of referential rule integrity remediation.
		This study therefore serves as a primer focused on identifying the various approaches to business rule processing, the particular problems characteristic of using inference engines, the reasoning behind how to address the RRI problem, and the methods that vendors should employ for addressing RRI and improving system reliability and integrity.
	www.tekrati.com /research/News.asp?id=7022 (593 words)

	Bayesian Logic (BLOG) Download Page (Site not responding. Last check: 2007-09-09)
		The BLOG Inference Engine also includes several pieces of third-party software: the CUP parser generator (version 10k, not the new Java 1.5 version); the JLex lexical analyzer generator; and the JAMA matrix package.
		This version of the Inference Engine includes three general-purpose inference algorithms: rejection sampling (as in our IJCAI-05 paper), likelihood weighting (as in our AISTATS-05 paper), and a Metropolis-Hastings algorithm where the proposal distribution just samples values for variables given their parents.
		The Inference Engine also allows modelers to plug in their own Metropolis-Hastings proposal distributions: the proposal distribution can propose arbitrary changes to the current world, and the engine will compute the acceptance probability.
	www.cs.berkeley.edu /~milch/blog/software.html (717 words)

	Using threads with IECS
		The inference engine's run method calls the lock and unlock every step to ensure you don't stomp on any inference engine structures (such as the Agenda) while it is inferring new facts.
		In here, we will lock the inference engines, load our expert systems and resume the threads if they are stopped.
		However, if the inference engine is already locked, the Lock method call will block the calling thread (in this case, the main thread).
	www.riversoftavg.com /using_threads_with_iecs.htm (1488 words)

	About the CGI Whale Watcher
		If the engine requires further information for its determination of the whale species, the CGI program displays a new question; otherwise, a conclusion is presented to the user.
		If the engine needs to display a question, the program creates a new HTML page containing: the current engine state; the question text; and a list of answers the user can choose from.
		The inference engine is run, and will do one of two things: It will tell the program that it needs to ask a question; or it will say that it has reached a conclusion.
	www.aiinc.ca /demos/aboutcgi.shtml (936 words)

	SIE - Simple Inference Engine
		SIE is an inference engine written in Ruby.
		Inference Engine is another term for Expert System, the Inference Engine is the core of the Expert System and a subject in it's own right when it comes to AI.
		The engine as such is in the SIE class and does the inference engine bit to a tee.
	homepage.ntlworld.com /peterhi/sie.html (930 words)

	MIThril overview
		The MIThril Real-Time Context Engine (formerly named the MIThril Inference Engine) is an light-weight modular architecture for the development and implementation of real-time context classifiers for wearable applications.
		Real-Time Context Engine whitepaper explaining the real-time context engine and describing in some detail the development of a three-class accelerometer-based activity model.
		In the inference stage, the results of the modeling stage, possibly combined with other information, are fed into a Bayesian inference system for complex interpretation and decision-making.
	www.media.mit.edu /wearables/mithril/context (588 words)

	OWL Inference Engine in Jess
		It is to be loaded directly into the JESS engine.
		The resulting assertions can the be loaded into the JESS engine.
		As shown in figure 1, these three files are used to provide the basis of an OWL inference engine based on JESS and they can be complemented with other stylesheets and other sources to add assertions and rules to the base (e.g.
	www.cs.cmu.edu /~sadeh/MyCampusMirror/OWLEngine.html (1784 words)

	Simon Peyton Jones: papers (Site not responding. Last check: 2007-09-09)
		Complete type inference is known to be undecidable for higher-rank (impredicative) type systems, but in practice programmers are more than willing to add type annotations to guide the type inference engine, and to document their code.
		We show how to use local type inference (invented by Pierce and Turner) to greatly reduce the annotation burden, to the point where higher-rank types become eminently usable.
		We write the type-inference engine using a monadic framework: it turns out to be a particularly compelling example of monads in action.
	research.microsoft.com /~simonpj/papers/putting/index.htm (263 words)

	PluggableEngine (Agent Building and Learning Environment (ABLE))
		- A ruleset whose context is used for inferencing by this inference engine.
		- A ruleblock whose rules are to be used for inferencing by this inference engine.
		Here is the place where the custom engine examines the rules the user coded in this ruleblock to see if they are acceptable for processing by this engine.
	www.research.ibm.com /able/doc/reference/com/ibm/able/examples/rules/PluggableEngine.html (364 words)

	Semergence » Blog Archive » EulerMoz - Inference Engine in Javascript
		EulerMoz is an inference engine written in Javascript.
		EulerMoz is an inference engine supporting logic based proofs based on EulerSharp project.
		This entry was posted on Wednesday, January 25th, 2006 at 8:59 am and is filed under semantic web, javascript, ontology, rules, inference.
	www.semergence.com /?p=65 (159 words)

	InferenceWeb
		The document is organized as follows: a typical Semantic Web problem along with a query for solving the problem are presented; a proof describing inference steps used to derive an answer for the proposed query is presented; a proof transformation completes the process of explaining reasoning tasks in the Inference Web.
		An explanation is produced as the final result of replacing inference steps based on rules by inference steps based on semantic tactics.
		Therefore, the Inference Web is an infrastructure for handling proofs for generic purposes such as debugging inference engines, storing intermediate results of multiple tasks, etc. In particular, the Inference Web is an infrastructure for developing explanations from proofs as described in this document.
	www.ksl.stanford.edu /software/IW/Ex1 (664 words)

	An inference engine for RDF
		The inference engine : this is where the resolution is executed.
		The resolution path is that part of the inferencing process that is needed to inference triples or subgraphs that are not part of the original graph G and that thus are produced by the closure.
		Some of the triples of g3 can match with G, others will be deduced from further inferencing (for instance one of them might be c2).When c3 was generated in the closure it was deduced from g3.
	www.agfa.com /w3c/2002/02/thesis/An_inference_engine_for_RDF.html (7417 words)

	2 Using Prolog's Inference Engine
		Prolog has a built-in backward chaining inference engine which can be used to partially implement some expert systems.
		Prolog rules are used for the knowledge representation, and the Prolog inference engine is used to derive conclusions.
		For example, the common command for starting an inference is consult, however consult is the name of a built-in predicate in Prolog.
	www.amzi.com /ExpertSystemsInProlog/02usingprolog.htm (2854 words)

	AblePatternMatchEngine (Agent Building and Learning Environment (ABLE))
		This class provides the inferencing algorithm for processing a set of pattern match rules in a ruleblock using data-driven or forward chaining.
		Returns the specified control parameter on the associated inference engine.
		Make sure the current ruleblock is "executable" by this inference engine.
	www.research.ibm.com /able/doc/reference/com/ibm/able/rules/AblePatternMatchEngine.html (578 words)

	An Object-Oriented Inference Engine for Prolog (Site not responding. Last check: 2007-09-09)
		The inference engine is part of the Graphically Oriented Development Environment for Logic (Gödel) programming.
		The inference engine is a distributed one in which each clause object knows how to unify and execute itself.
		In exchange, this approach provides integration with the object- oriented paradigm, including all the power that comes from object-oriented programming environments, including browsers, incremental translation, inspectors, debuggers, and multiple query execution, as well as the ability to easily experiment with both the environment and the PROLOG language itself.
	www.cs.ualberta.ca /~duane/abstracts/1992jss.shtml (285 words)

	F-OWL: An OWL Inference Engine in Flora-2
		We have run the F-OWL inference rules against the W3C OWL test cases.
		The interface supports calls to the inference engine using N-Triple.
		An example ontology (animals.owl) is included for testing the correctness of F-OWL inference rules.
	fowl.sourceforge.net (387 words)

	MIThril overview
		The MIThril Inference Engine is an attempt to develop a simple, clean architecture for applying statistical machine learning techniques to the modeling and classification of body-worn sensor data.
		These classifications are the output of the MIThril Inference Engine.
		Rarely will there be a one-to-one correspondence between the output of a single model or classifier and an action to be taken.
	www.media.mit.edu /wearables/mithril/inference/index.html (596 words)

	How the inference engine works (Site not responding. Last check: 2007-09-09)
		In simple rule-based systems, there are two kinds of inference, forward chaining and backward chaining.
		This is also called data-directed inference, because inference is triggered by the arrival of new data in working memory.
		This is also called goal-directed inference, or hypothesis driven, because inferences are not performed until the system is made to prove a particular goal (i.e.
	www.j-paine.org /students/lectures/lect3/node10.html (136 words)

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