A generative system that creates levels for 2D platformer games is presented. The creation process is driven by generic models of challenge-based fun which are derived from existing theories of game design. These models are used as fitness functions in a genetic algorithm to produce new levels that maximize the amount of player fun, and the results are compared with existing levels from the cla...

Edge detection is a primary operation of most of the image processing applications such as image detection, boundary detection, image classification, image registration. Edge detection filters out less important information and preserve the structural properties of image.The Proposed technique uses ANFIS edge detector for edge detection on digital images. It involves a neuro fuzzy system with t...

Aircraft diagnosis is a highly complex topic. Many knowledge sources are required and have to be integrated into a diagnosis system. This paper describes the instantiation of a multi-agent system for case-based aircraft diagnosis based on the SEASALT architecture. This system will extend an existing rulebased diagnosis system, to make use of the experience on occurred faults and their solutions...

We describe our grammar correction system for the CoNLL-2013 shared task. Our system corrects three of the five error types specified for the shared task noun-number, determiner and subject-verb agreement errors. For noun-number and determiner correction, we apply a classification approach using rich lexical and syntactic features. For subject-verb agreement correction, we propose a new rulebas...

We describe a lightweight prototype framework (LIBERO) designed for experimentation with behavioural skeletons—components implementing a well-known parallelism exploitation pattern and a rulebased autonomic manager taking care of some non-functional feature related to pattern computation. LIBERO supports multiple autonomic managers within the same behavioural skeleton, each taking care of a dif...

Sleep stage scoring is laborious and requires much expertise. So using expert system for automatic sleep scoring systems is desirable. In this study, we have designed and implemented a multi-staged rule-based reasoning system with augmented functions using communications among RBRU(rulebased reasoning unit). With RBRU not having sufficient information, the unit is designed to ask the previous R...

In this paper, we describe an ontologically well-founded agentbased discrete event simulation framework with a high-level rulebased simulation language and an abstract simulator architecture and execution model, which allows both basic discrete event simulations without agents and complex agent-based simulations with (possibly distorted) perceptions and (possibly false) beliefs. The framework i...

CHR (Constraint Handling Rules) is a committed-choice rulebased language that was originally intended for writing constraint solvers. Over time, CHR is used more and more as a general-purpose programming language. In companion paper [12] we show that it is possible to write the classic union-find algorithm and variants in CHR with bestknown time complexity, which is believed impossible in Prolo...

As the complexity of spoken dialogue systems has increased, there has been increasing interest spoken language generation (SLG). SLG promises portability across application domains and dialogue situations through the development of applicationindependent linguistic modules. However in practice, rulebased SLGs often have to be tuned to the application. Recently, a number of research groups have ...

Dialog state tracking challenge provides a common testbed for state tracking algorithms. This paper describes the SJTU system submitted to the second Dialogue State Tracking Challenge in detail. In the system, a statistical semantic parser is used to generate refined semantic hypotheses. A large number of features are then derived based on the semantic hypotheses and the dialogue log informatio...