{"title":"An artificial neural network for the ergonomic evaluation of a human-computer interface","authors":"J. Arcand","doi":"10.1109/TAI.1994.346418","DOIUrl":"https://doi.org/10.1109/TAI.1994.346418","url":null,"abstract":"The paper examines neural networks as a tool for optimizing the placement of icons in an interface. Such networks will be used to determine the exact placement of icons on the screen. This method will be applied in the final phase of system interface evaluation, to give a group of users the opportunity to move icons on the screen as they see fit. Each new position is recorded by a neural network. Afterwards, the networks can be interrogated to deduce the optimal placement of each icon, thus avoiding the necessity of re-programming the interface several times.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116272006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new generation of intelligent punching environment for computerized embroidery","authors":"Shifu Chen, B. Hu","doi":"10.1109/TAI.1994.346424","DOIUrl":"https://doi.org/10.1109/TAI.1994.346424","url":null,"abstract":"NeedlePaint-a new generation of intelligent punching environment for computerized embroidery is introduced in the paper. Its systems organization, data structure and implementation techniques are described in great detail. Computer software techniques such as image processing, computer-aided design and artificial intelligence etc., rich embroidery knowledge and rules, and highly efficient inference mechanism are adopted in NeedlePaint. Various input methods for original designs are available and stitches are organized automatically. Both integrity and automaticity of embroidery punching ranging from original designs inputting to image processing, stitch organizing, stitch optimizing and data transforming are covered in NeedlePaint. As a result, the quality and efficiency of embroidery punching are improved greatly.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114693196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Vercelli, F. Giuffrida, A. Rolla, R. Toracca, P. Morasso
{"title":"NAVNEX: an hybrid system which learns navigation situations in real time","authors":"G. Vercelli, F. Giuffrida, A. Rolla, R. Toracca, P. Morasso","doi":"10.1109/TAI.1994.346390","DOIUrl":"https://doi.org/10.1109/TAI.1994.346390","url":null,"abstract":"The paper introduces NAVNEX (Navigation and Neural Explorer), a hybrid system, neural and symbolic/procedural, well suited for real time extraction of navigation situations during incremental explorations of unknown environments performed by an autonomous mobile robot. Real time performances are obtained through the parallelization of the activities necessary to extract relevant information: reactive planning and navigation, environment reconstruction via self-organization, symbolic (topological) analysis of reconstructed maps. The neural part of the system is based on two self-organizing neural networks which learn the obstacle boundaries and the free space maps, while the symbolic/procedural part is composed of a library of heuristic algorithms which analyze the neural maps on a topological bases, playing the role of \"situation recognizers\". An incremental merging algorithm is also presented, which integrates in real time the spatio-temporal information of reconstructed graphs of navigation situations.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121803117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A knowledge-based tutoring system for SQL programming","authors":"Gang Zhou, J. Wang, P. Ng","doi":"10.1109/TAI.1994.346470","DOIUrl":"https://doi.org/10.1109/TAI.1994.346470","url":null,"abstract":"This paper presents the design of a knowledge-based tutoring system (KBTS) for teaching students to write SQL programs. After analyzing the underlying control mechanism in a tutoring process, we propose a novel architecture to support the process. Our system has many features such as the use of a uniform control flow strategy, the employment of a graph-based scheme to represent global knowledge, and the allowing of multiple teaching sequences and multiple viewpoints for a teaching goal. We argue that these features are essential for not only SQL tutoring systems, but also KBTSs in other domains. Thus, the paper establishes a generic framework for developing the various KBTSs. We also report some implementation considerations for the proposed system.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123415600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using planning techniques to provide feedback in interactive learning environments","authors":"R. Kemp, S. P. Smith","doi":"10.1109/TAI.1994.346422","DOIUrl":"https://doi.org/10.1109/TAI.1994.346422","url":null,"abstract":"A scheme for domain and task representation in an interactive learning environment is described. The approach, based on recent enhancements to a classic AI planning formulation, enables suitable feedback to be incorporated economically into tutors for a range of procedural domains. The method is applied to the problem of simulating the operation of a video cassette recorder and representing tasks within this domain.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131201644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vision-based behavioural modules for robotic assembly systems","authors":"P. Chongstitvatana","doi":"10.1109/TAI.1994.346475","DOIUrl":"https://doi.org/10.1109/TAI.1994.346475","url":null,"abstract":"This work describes how to program robots to work reliably in the presence of uncertainty. Some architectural principles are proposed which address the problem of decomposing robotic assembly tasks into modular units. These modular units are called behavioural modules. The problem of uncertainty is dealt with by encapsulating sensing and variation-reducing strategies inside these modules. This architecture also provide a framework to integrate sensors into a robotic assembly system. Experiments are performed with a working robotic assembly system using vision-based behavioural modules to demonstrate the validity of this approach.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129048243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Docile agents to process natural language","authors":"J. Fournier","doi":"10.1109/TAI.1994.346404","DOIUrl":"https://doi.org/10.1109/TAI.1994.346404","url":null,"abstract":"We present an implementation of docile agents within a Natural Language Processing System. Docile agents are very comfortable to interact with. They allow precise adjustments of the whole software's behaviour and are able to predict what amount of processing time they need, according to the user's or supervising agent's wishes. They prepare future massively parallel implementations of NLP systems.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"29 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114310040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conceptual driven search among distributed knowledge sources","authors":"A. Fabiano, S. Cerri","doi":"10.1109/TAI.1994.346438","DOIUrl":"https://doi.org/10.1109/TAI.1994.346438","url":null,"abstract":"We describe how a common conceptual model of the application domain can be used to support a cooperative and concurrent search among loosely coupled knowledge sources (KSs) distributed over a network with unknown topology. The introduction of a conceptual level, shared among all the KSs in the net, allows one to obtain independence from the logical data organization of each node, not only from the physical as it is the case in DDBMS. The navigation process is based on the conceptual model and has been designed by means of a set of cooperative agents, with specific knowledge and abilities, that reason about the local data and exchange information to ensure both communication through the net and information processing at each net node.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121029710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DIALECT 2: an information retrieval system based on distributed artificial intelligence tools","authors":"Michael Braunwarth, A. Mekaouche, J. Bassano","doi":"10.1109/TAI.1994.346398","DOIUrl":"https://doi.org/10.1109/TAI.1994.346398","url":null,"abstract":"In this paper we present our work on DIALECT 2. It is an information retrieval system using DAI tools which is made up by two modules based on the blackboard model: a linguistic parser and a reformulation module. The linguistic parser extracts the syntactic structure from a request and builds a network of templates which contains the main information elements of the request. The reformulation module uses this network in order to retrieve some pieces of relevant documents. In this paper we describe more precisely the role and the architecture of each module.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131333239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive robot path planning in changing environments","authors":"Pang C. Chen","doi":"10.1109/TAI.1994.346511","DOIUrl":"https://doi.org/10.1109/TAI.1994.346511","url":null,"abstract":"Path planning needs to be fast to facilitate real-time robot programming. Unfortunately, current planning techniques are still too slow to be effective, as they often require several minutes, if not hours of computation. To overcome this difficulty, we present an adaptive algorithm that uses past experience to speed up future performance. It is a learning algorithm suitable for incrementally-changing environments such as those encountered in manufacturing of evolving products and waste-site remediation. The algorithm allows the robot to adapt to its environment by having two experience manipulation schemes: for minor environmental change, we use an object-attached experience abstraction scheme to increase the flexibility of the learned experience; for major environmental change, we use an on-demand experience repair scheme to retain those experiences that remain valid and useful. Using this algorithm, we can effectively reduce the overall robot planning time by re-using the computation result for one task to plan a path for another.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129042184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}