1999
Neves, J.; Cortez, P.; Rocha, M.; Abelha, A.; MacHado, J.; Alves, V.; Basto, S.; Botelho, H.; Neves, J.
A unified framework for data modeling on medical information systems Proceedings Article
Em: pp. 68-71, IOS Press, Ljubljana, 1999, ISSN: 09269630, (cited By 0; Conference of 15th Congress on Medical Informatics Europe, MIE 1999 ; Conference Date: 22 August 1999 Through 26 August 1999).
Resumo | Links | BibTeX | Etiquetas: article; artificial intelligence; computer assisted diagnosis; computer assisted therapy; computer program; computer simulation; expert system; human; medical informatics, Artificial Intelligence; Computer Simulation; Diagnosis, Basic designs; Length of stay; Level of Service; Patient care; Patient education; Unified framework, Bioinformatics; Clinical research; Information use; Medical computing; Medical education, Computer-Assisted, Computer-Assisted; Expert Systems; Humans; Medical Informatics Computing; Software; Therapy, Medical information systems
@inproceedings{Neves199968,
title = {A unified framework for data modeling on medical information systems},
author = {J. Neves and P. Cortez and M. Rocha and A. Abelha and J. MacHado and V. Alves and S. Basto and H. Botelho and J. Neves},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033251335&doi=10.3233%2f978-1-60750-912-7-68&partnerID=40&md5=404bff3ecb8e5585fe3c1c9fdd1459a6},
doi = {10.3233/978-1-60750-912-7-68},
issn = {09269630},
year = {1999},
date = {1999-01-01},
journal = {Studies in Health Technology and Informatics},
volume = {68},
pages = {68-71},
publisher = {IOS Press},
address = {Ljubljana},
abstract = {Medical Information Systems (MIS) are seen as a way of optimizing the use of existing health-care infrastructure, without resorting to new and costly hospital (re)construction. The qualitative (re)design of such an environment requires a basic understanding of patient and doctors related characteristics and capabilities. Patient care, patient education, medical education, and clinical research need to be considered to meet the basic requirements on the level of services desirable, determined on the basis of the patient's length of stay; i.e., used for modeling the significant entities of such a world. The aim is to extract conclusions for the level of services provided to the users. One's concept will capture, as well as will integrate, the basic design principles under which MIS may be set.},
note = {cited By 0; Conference of 15th Congress on Medical Informatics Europe, MIE 1999 ; Conference Date: 22 August 1999 Through 26 August 1999},
keywords = {article; artificial intelligence; computer assisted diagnosis; computer assisted therapy; computer program; computer simulation; expert system; human; medical informatics, Artificial Intelligence; Computer Simulation; Diagnosis, Basic designs; Length of stay; Level of Service; Patient care; Patient education; Unified framework, Bioinformatics; Clinical research; Information use; Medical computing; Medical education, Computer-Assisted, Computer-Assisted; Expert Systems; Humans; Medical Informatics Computing; Software; Therapy, Medical information systems},
pubstate = {published},
tppubtype = {inproceedings}
}
Medical Information Systems (MIS) are seen as a way of optimizing the use of existing health-care infrastructure, without resorting to new and costly hospital (re)construction. The qualitative (re)design of such an environment requires a basic understanding of patient and doctors related characteristics and capabilities. Patient care, patient education, medical education, and clinical research need to be considered to meet the basic requirements on the level of services desirable, determined on the basis of the patient's length of stay; i.e., used for modeling the significant entities of such a world. The aim is to extract conclusions for the level of services provided to the users. One's concept will capture, as well as will integrate, the basic design principles under which MIS may be set.
1998
Neves, Jose; Machado, Jose; Analide, Cesar; Novais, Paulo; Abelha, Antonio
Extended logic programming applied to the specification of multi-agent systems and their computing environments Proceedings Article
Em: pp. 159-164, IEEE, Piscataway, NJ, United States, Beijing, China, 1998, (cited By 6; Conference of Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2) ; Conference Date: 28 October 1997 Through 31 October 1997; Conference Code:48321).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Decision support systems; Laws and legislation, Contextual reasoning; Extended logic programming; Grice's maxims; Multi agent systems, Logic programming
@inproceedings{Neves1998159,
title = {Extended logic programming applied to the specification of multi-agent systems and their computing environments},
author = {Jose Neves and Jose Machado and Cesar Analide and Paulo Novais and Antonio Abelha},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031673874&partnerID=40&md5=08133e65f4f0c50b4fa9b7a825c799c4},
year = {1998},
date = {1998-01-01},
journal = {Proceedings of the IEEE International Conference on Intelligent Processing Systems, ICIPS},
volume = {1},
pages = {159-164},
publisher = {IEEE, Piscataway, NJ, United States},
address = {Beijing, China},
abstract = {In this work it is presented a logical framework to model some aspects of contextuality; i.e. generating contexts in a multi-context setting. Following the existing work on Extended Logic Programming and Multi-Agent Systems, a contextual reasoning procedure for a particular class of multi-context systems, the law ones, is proposed based on the Grice's maxims, which in turn are used to support a larger set of contexts by combining contexts into compound structures, thus defining a logic of contexts. The notion of compound contexts reflects the beliefs, desires, intentions and obligations, among others, that depend on the problem, leading to a variety of dynamic context formations. In its applied form, it will be considered the Portuguese Public Prosecution Service, which is the state body entrusted with representing the state, bringing criminal cases to court, defending democratic legality, and any other interests that The Law determines.},
note = {cited By 6; Conference of Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2) ; Conference Date: 28 October 1997 Through 31 October 1997; Conference Code:48321},
keywords = {Artificial intelligence; Decision support systems; Laws and legislation, Contextual reasoning; Extended logic programming; Grice's maxims; Multi agent systems, Logic programming},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work it is presented a logical framework to model some aspects of contextuality; i.e. generating contexts in a multi-context setting. Following the existing work on Extended Logic Programming and Multi-Agent Systems, a contextual reasoning procedure for a particular class of multi-context systems, the law ones, is proposed based on the Grice's maxims, which in turn are used to support a larger set of contexts by combining contexts into compound structures, thus defining a logic of contexts. The notion of compound contexts reflects the beliefs, desires, intentions and obligations, among others, that depend on the problem, leading to a variety of dynamic context formations. In its applied form, it will be considered the Portuguese Public Prosecution Service, which is the state body entrusted with representing the state, bringing criminal cases to court, defending democratic legality, and any other interests that The Law determines.
1997
Neves, Jose; Machado, Jose; Abelha, Antonio
Application of artificial intelligence to law enforcement Proceedings Article
Em: pp. 256, ACM, New York, NY, United States, Melbourne, Aust, 1997, (cited By 0; Conference of Proceedings of the 1997 6th International Conference on Artificial Intelligence and Law ; Conference Date: 30 June 1997 Through 3 July 1997; Conference Code:47164).
Resumo | Links | BibTeX | Etiquetas: Abstract only; Inference based semantic nets; Law enforcement, Artificial intelligence, Computational linguistics; Computer architecture; Decision support systems; Inference engines; Information retrieval; Laws and legislation; Logic programming; Neural networks
@inproceedings{Neves1997256,
title = {Application of artificial intelligence to law enforcement},
author = {Jose Neves and Jose Machado and Antonio Abelha},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030683086&partnerID=40&md5=39b557e4ae2be634a7e33c062091971e},
year = {1997},
date = {1997-01-01},
journal = {Proceedings of the International Conference on Artificial Intelligence and Law},
pages = {256},
publisher = {ACM, New York, NY, United States},
address = {Melbourne, Aust},
abstract = {The area of information retrieval is concerned, in particular, with selecting documents from a collection that will be of interest to an user with a stated information need or question. Although it remains an area of considerable theoretical and practical importance, in general it comes to be critical when one considers the organization and functioning of a Public Prosecution Service, in terms of its administrative procedures, service distribution or the application of The Law. This article describes a part of a project, the MAD's one, A Decision Support System for Legal Reasoning, with mention to the architecture and the formal model for retrieval and update of legal documents, in use at the Portuguese Public Prosecution Service. It combines agent's based technology, disjunctive logic programming to the representation of partial information, and inference based semantic nets.},
note = {cited By 0; Conference of Proceedings of the 1997 6th International Conference on Artificial Intelligence and Law ; Conference Date: 30 June 1997 Through 3 July 1997; Conference Code:47164},
keywords = {Abstract only; Inference based semantic nets; Law enforcement, Artificial intelligence, Computational linguistics; Computer architecture; Decision support systems; Inference engines; Information retrieval; Laws and legislation; Logic programming; Neural networks},
pubstate = {published},
tppubtype = {inproceedings}
}
The area of information retrieval is concerned, in particular, with selecting documents from a collection that will be of interest to an user with a stated information need or question. Although it remains an area of considerable theoretical and practical importance, in general it comes to be critical when one considers the organization and functioning of a Public Prosecution Service, in terms of its administrative procedures, service distribution or the application of The Law. This article describes a part of a project, the MAD's one, A Decision Support System for Legal Reasoning, with mention to the architecture and the formal model for retrieval and update of legal documents, in use at the Portuguese Public Prosecution Service. It combines agent's based technology, disjunctive logic programming to the representation of partial information, and inference based semantic nets.
1995
Cortez, Paulo; Rocha, Miguel; Machado, Jose; Neves, Jose
Neural network based time series forecasting system Proceedings Article
Em: pp. 2689-2693, IEEE, Piscataway, NJ, United States, Perth, Aust, 1995, (cited By 9; Conference of Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) ; Conference Date: 27 November 1995 Through 1 December 1995; Conference Code:44687).
Resumo | Links | BibTeX | Etiquetas: Logic programming; Mathematical models; PROLOG (programming language); Time series analysis, Neural networks, Time series forecasting system
@inproceedings{Cortez19952689,
title = {Neural network based time series forecasting system},
author = {Paulo Cortez and Miguel Rocha and Jose Machado and Jose Neves},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0029452555&partnerID=40&md5=547210bf629ba7964e810106e283214a},
year = {1995},
date = {1995-01-01},
journal = {IEEE International Conference on Neural Networks - Conference Proceedings},
volume = {5},
pages = {2689-2693},
publisher = {IEEE, Piscataway, NJ, United States},
address = {Perth, Aust},
abstract = {The Neural Network (NN) arena has suffered in the past years a remarkable development as one of the novel fields for Artificial Intelligence (AI). Time Series Analysis (TSA) based on models of the variability of observations by postulating trends and cyclic effects, with a view to understand the cause of variation and to improve forecasting, suggests the use of NNs that do something like, what is called in statistics, Principal Component Analysis (PCA). The purpose of this work is to present a logical based NN system, along with: (i) Time Series Forecasting (TSF), with its characteristics of strong noise component and non-linearity in data, showing itself as a field in which the use of NN's stuff is particularly advisable; (ii) PCA rules, organized in a default hierarchy as logical theories, competing with one another for the right to represent a particular situation or to predict its successors; i.e., assisting in the process of choosing the best network to forecast each series. Some trials will be conducted, and the basic performance measures used as baselines for comparison with other methods.},
note = {cited By 9; Conference of Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) ; Conference Date: 27 November 1995 Through 1 December 1995; Conference Code:44687},
keywords = {Logic programming; Mathematical models; PROLOG (programming language); Time series analysis, Neural networks, Time series forecasting system},
pubstate = {published},
tppubtype = {inproceedings}
}
The Neural Network (NN) arena has suffered in the past years a remarkable development as one of the novel fields for Artificial Intelligence (AI). Time Series Analysis (TSA) based on models of the variability of observations by postulating trends and cyclic effects, with a view to understand the cause of variation and to improve forecasting, suggests the use of NNs that do something like, what is called in statistics, Principal Component Analysis (PCA). The purpose of this work is to present a logical based NN system, along with: (i) Time Series Forecasting (TSF), with its characteristics of strong noise component and non-linearity in data, showing itself as a field in which the use of NN's stuff is particularly advisable; (ii) PCA rules, organized in a default hierarchy as logical theories, competing with one another for the right to represent a particular situation or to predict its successors; i.e., assisting in the process of choosing the best network to forecast each series. Some trials will be conducted, and the basic performance measures used as baselines for comparison with other methods.