kinematic synthesis of a trailing six-member mechanism has been carried out to achieve five precision points of an automotive steering mechanism. the inner wheel can be rotated up to forty five degrees with fair accuracy. results show that the divergent end behavior of ackermann steering mechanism has been overcome by the present mechanism. the work is similar to earlier work by the present aut...

Newsome ((2003). The debate between current versions of covariation and mechanism approaches to causal inference. Philosophical Psychology, 16, 87–107.) recently published a critical review of psychological theories of human causal inference. In that review, he characterized covariation and mechanism theories, the two dominant theory types, as competing, and offered possible ways to integrate t...

There are very few reasoners which combine natural deduction and subsumption reasoning, and there are none which do so while supporting concurrency. Inference Graphs are a graph-based inference mechanism using an expressive first– order logic, capable of subsumption and natural deduction reasoning using concurrency. Evaluation of concurrency characteristics on a combination natural deduction an...

This article presents a mechanism to infer mood states, aiming to provide virtual learning environments (VLEs) with a tool able to recognize the student’s motivation. The inference model has as its parameters personality traits, motivational factors obtained through behavioral standards and the affective subjectivity identified in texts made available in the communication functionalities of the...

PAGODA (Probabilistic Autonomous GOal­ Directed Agent) is a model for autonomous learning in probabilistic domains [desJ ardins, 1992) that incorporates innovative techniques for using the agent's existing knowledge to guide and constrain the learning process and for representing, reasoning with, and learn­ ing probabilistic knowledge. This paper de­ scribes the probabilistic representation and...

The paper presents an object oriented fault diagnostic expert system framework which analyses observations from the unit under test when fault occurs and infers the causes of failures. The frame work is characterized by two basic features. The first includes a fault diagnostic strategy which utilizes the fault classification and checks knowledge about unit under test. The fault classification k...

1 . I n t r o d u c t i o n In many cases, specialiied inference rules which incorporate certain axioms into the inference mechanism can produce fewer redundant consequences and more efficient proofs. The most notable example is paramodulation. Inference rules for inequalities, partial orerings, special binary relations have also been found ([BIH80], [S1N73], [MaW85]). Recently there has also b...

Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we present an approach for approximate maximum likelihood parameter learning in discriminative field models, which is based on approximating true expectations with simple piecewise constant functions constructed using inference tech...

This paper reports on the development of a hypermedia inference language designed to strengthen the ability of hypermedia systems to be used effectively in applications that might otherwise require cumbersome rule-based expert systems. The inference language grew out of a primitive query language which provided the mechanism for navigation in a hypertext system. As the language gained logical a...