Backward and forward chaining - our nascent
نویسنده
چکیده
As computer graphics evolves and expands into an essential component of many interactive systems, it is almost inevitable that the applications themselves become more complex and ambitious. In particular, the interactive system is rapidly becoming the intelligent system: Not only does the interface permit convenient access to the entities and operations of the application, but it also aids and augments the mere interaction in significant ways. For example, computer-aided design systems check topological constraints while an object is being constructed, robot simulators assist in avoiding collisions, and slide-making systems have automatic layout modes. The implication of these aids is that the new generation of graphical systems will provide increasing intelligence in the human-computer interface. The study of the characteristics and capabilities necessary to effect communication between human and machine on this higher level is a central aspect of Artificial Intelligence (AI). One of our principal goals in presenting this special issue is to bring the approaching confluence of computer graphics and artificial intelligence into sharper focus. In addition, we hope to spur interest in common issues and open new pathways for future graphical systems. The fields of artificial intelligence and computer graphics have interacted in a number of ways in the past. This interaction has been particularly strong in the areas of image processing and robotics. Image processing and graphics are naturally related because they share a common
منابع مشابه
Type-2 Fuzzy Hybrid Expert System For Diagnosis Of Degenerative Disc Diseases
One-third of the people with an age over twenty have some signs of degenerated discs. However, in most of the patients the mere presence of degenerative discs is not a problem leading to pain, neurological compression, or other symptoms. This paper presents an interval type-2 fuzzy hybrid rule-based system to diagnose the abnormal degenerated discs where pain variables are represented by interv...
متن کاملA Forward Search Planning Algorithm with a Goal Ordering Heuristic
Forward chaining is a popular strategy for solving classical planning problems and a number of recent successful planners exploit it. To succeed, a forward chaining algorithm must carefully select its next action. In this paper, we introduce a forward chaining algorithm that selects its next action using heuristics that combine backward regression and goal ordering techniques. Backward regressi...
متن کاملSound and Complete Forward and BackwardChainings of Graph
This paper presents graph operations for processing conceptual graph rules in forward chaining and backward chaining. In both cases the operations provide sound and complete procedures with respect to rst-order logic deduction. First we present our framework: simple conceptual graphs, rules as couples of lambda-abstractions, knowledge base, logical semantics. Next we focus on forward chaining. ...
متن کاملAn RDF Storage and Query Framework with Flexible Inference Strategy
In the Semantic Web, RDF (Resource Description Framework) and RDF Schema are commonly used to describe metadata. There are a great many RDF data in current web, therefore, efficient storage and retrieval of large RDF data sets is required. So far, several RDF storage and query system are developed. According to the inference strategy they used, they can be classified into two categories, one ex...
متن کاملAdvanced Geometry Tutor: An intelligent tutor that teaches proof-writing with construction
Two problem solving strategies, forward chaining and backward chaining, were compared to see how they affect students’ learning of geometry theorem proving with construction. In order to determine which strategy accelerates learning the most, an intelligent tutoring system, the Advanced Geometry Tutor, was developed that can teach either strategy while controlling all other instructional variab...
متن کاملBackward inference and pruning for RDF change detection using RDBMS
Recent studies on change detection for RDF data have focused on minimizing the delta size and, as a way to exploit the semantics of RDF models in reducing the delta size, the forward-chaining inferences have been widely employed. However, since the forwardchaining inferences should pre-compute the entire closure of the RDF model, the existing approaches are not scalable to large RDF data sets. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006