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From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing 从模仿到预测，数据压缩与自然语言处理中的递归神经网络
Inteligencia Artif. Pub Date : 2017-05-01 DOI: 10.4114/INTARTIF.VOL21ISS61PP30-46
Juan Andrés Laura, Gabriel Masi, Luis Argerich
{"title":"From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing","authors":"Juan Andrés Laura, Gabriel Masi, Luis Argerich","doi":"10.4114/INTARTIF.VOL21ISS61PP30-46","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL21ISS61PP30-46","url":null,"abstract":"In recent studies [1][13][12] Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, data compression is also based on predictions. What the problem comes down to is whether a data compressor could be used to perform as well as recurrent neural networks in natural language processing tasks. If this is possible,then the problem comes down to determining if a compression algorithm is even more intelligent than a neural network in specific tasks related to human language. In our journey we discovered what we think is the fundamental difference between a Data Compression Algorithm and a Recurrent Neural Network.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117061815","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}
引用次数: 7
Incremental and developmental perspectives for general-purpose learning systems 通用学习系统的增量和发展观点
Inteligencia Artif. Pub Date : 2017-02-24 DOI: 10.1145/3098888.3098898
Fernando Martínez-Plumed
{"title":"Incremental and developmental perspectives for general-purpose learning systems","authors":"Fernando Martínez-Plumed","doi":"10.1145/3098888.3098898","DOIUrl":"https://doi.org/10.1145/3098888.3098898","url":null,"abstract":"The stupefying success of Articial Intelligence (AI) for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent) problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. It presents a declarative general-purpose learning system and a developmental and lifelong approach for knowledge acquisition, consolidation and forgetting. It also analyses the use of the use of more ability-oriented evaluation techniques for AI evaluation and provides further insight for the understanding of the concepts of development and incremental learning in AI systems.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122030227","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}
引用次数: 1
Intelligent tutoring Module for a 3Dgame-based science e-learning platform 基于3d游戏的科学电子学习平台智能辅导模块
Inteligencia Artif. Pub Date : 2017-02-24 DOI: 10.4114/INTARTIF.VOL20ISS60PP1-19
Donfeng Liu, L. Barba-Guaman, Priscila Valdiviezo Díaz, G. Riofrío
{"title":"Intelligent tutoring Module for a 3Dgame-based science e-learning platform","authors":"Donfeng Liu, L. Barba-Guaman, Priscila Valdiviezo Díaz, G. Riofrío","doi":"10.4114/INTARTIF.VOL20ISS60PP1-19","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS60PP1-19","url":null,"abstract":"The three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learningplatform for science. The individual complexity of 3D games and conventional intelligent tutoring systems (ITS)results in extra complexities in system design and development of GIST. It is significant to develop practicalGIST, not just to seek the powerful ones. The main contribution of this paper is the lightweight modelling of theintelligent tutoring module based on the brief-desire-intention (BDI) framework. The tutoring module, which isimplemented by integration of the BDI framework into a game actor, can be able to suggest to each studentspecific learning tasks based on his/her learning histories. As a study case, algebra-based physics are intentionallychosen as the learning contents in this 3D game-based learning system, since the most of existing 3D game-basedlearning systems only focused on the qualitative understanding of physical concepts. Our proposed modelling isonly based on the BDI reasoning mechanism, so it can be easily extended to obtain practical GIST by usingstandard game engines.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114664286","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}
引用次数: 1
How the ability to analyse tendencies influences decision satisfaction 分析趋势的能力如何影响决策满意度
Inteligencia Artif. Pub Date : 2017-02-14 DOI: 10.4114/INTARTIF.VOL20ISS59PP8-20
João Carneiro, D. Martinho, Luís Conceição, G. Marreiros, P. Novais
{"title":"How the ability to analyse tendencies influences decision satisfaction","authors":"João Carneiro, D. Martinho, Luís Conceição, G. Marreiros, P. Novais","doi":"10.4114/INTARTIF.VOL20ISS59PP8-20","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS59PP8-20","url":null,"abstract":"Using agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of supporters for each alternative along the process. It is intended that agents can be more dynamic and intelligent and can evaluate different contexts throughout the decision-making process. We believe agents will achieve better and consensual decisions more easily. We tested our model in three simulation environments with different complexity levels. Our model proved that agents that use it will obtain higher average consensus and satisfaction levels. Besides that, agents using this model will obtain those higher consensus and satisfaction levels in most of the times compared to agents that do not use it.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121611042","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}
引用次数: 3
An Orientation Method with Prediction and Anticipation Features 一种具有预测和预期特征的定向方法
Inteligencia Artif. Pub Date : 2017-02-13 DOI: 10.4114/INTARTIF.VOL20ISS59PP82-95
João Ramos, Tiago Oliveira, K. Satoh, J. Neves, P. Novais
{"title":"An Orientation Method with Prediction and Anticipation Features","authors":"João Ramos, Tiago Oliveira, K. Satoh, J. Neves, P. Novais","doi":"10.4114/INTARTIF.VOL20ISS59PP82-95","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS59PP82-95","url":null,"abstract":"Nowadays, progress is constant and inherent to a living society. This may occur in different arenas, namely in mathematical evaluation and healthcare. Assistive technologies are a topic under this evolution, being extremely important in helping users with diminished capabilities (physical, sensory, intellectual). These technologies assist people in tasks that were difficult or impossible to execute. A common diminished task is orientation, which is crucial for the user autonomy. The adaptation to such technologies should require the minimum effort possible in order to enable the person to use devices that convey assistive functionalities. There are several solutions that help a human being to travel between two different locations, however their authors are essentially concerned with the guidance method, giving special attention to the user interface. The CogHelper system aims to overcome these systems by applying a framework of Speculative Computation, which adds a prediction feature for the next user movement giving an anticipation ability to the system. Thus, an alert is triggered before the user turn towards an incorrect path. The travelling path is also adjusted to the user preferences through a trajectory mining module.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131427707","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}
引用次数: 3
A Review on Intelligent Monitoring and Activity Interpretation 智能监测与活动解释研究进展
Inteligencia Artif. Pub Date : 2017-02-08 DOI: 10.4114/INTARTIF.VOL20ISS59PP53-69
J. C. Castillo, A. Fernández-Caballero, María T. López
{"title":"A Review on Intelligent Monitoring and Activity Interpretation","authors":"J. C. Castillo, A. Fernández-Caballero, María T. López","doi":"10.4114/INTARTIF.VOL20ISS59PP53-69","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS59PP53-69","url":null,"abstract":"This survey paper provides a tour of the various monitoring and activity interpretation frameworks found in the literature. The needs of monitoring and interpretation systems are presented in relation to the area where they have been developed or applied. Their evolution is studied to better understand the characteristics of current systems. After this, the main features of monitoring and activity interpretation systems are defined.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127898078","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}
引用次数: 4
A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies 多模态神经影像研究的知识表示与推理系统
Inteligencia Artif. Pub Date : 2017-02-06 DOI: 10.4114/INTARTIF.VOL20ISS59PP42-52
A. Coelho, P. Marques, R. Magalhães, N. Sousa, J. Neves, Victor Alves
{"title":"A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies","authors":"A. Coelho, P. Marques, R. Magalhães, N. Sousa, J. Neves, Victor Alves","doi":"10.4114/INTARTIF.VOL20ISS59PP42-52","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS59PP42-52","url":null,"abstract":"Multimodal neuroimaging analyses are of major interest for both research and clinical practice, enabling the combined evaluation of the structure and function of the human brain. These analyses generate large volumes of data and consequently increase the amount of possibly useful information. Indeed, BrainArchive was developed in order to organize, maintain and share this complex array of neuroimaging data. It stores all the information available for each participant/patient, being dynamic by nature. Notably, the application of reasoning systems to this multimodal data has the potential to provide tools for the identification of undiagnosed diseases. As a matter of fact, in this work we explore how Artificial Intelligence techniques for decision support work, namely Case-Based Reasoning (CBR) that may be used to achieve such endeavour. Particularly, it is proposed a reasoning system that uses the information stored in BrainArchive as past knowledge for the identification of individuals that are at risk of contracting some brain disease.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130031086","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}
引用次数: 2
Rational versus Intuitive Outcomes of Reasoning with Preferences: Argumentation Perspective 偏好推理的理性与直觉结果:论证视角
Inteligencia Artif. Pub Date : 2017-02-06 DOI: 10.4114/INTARTIF.VOL20ISS59PP40-81
K. Čyras
{"title":"Rational versus Intuitive Outcomes of Reasoning with Preferences: Argumentation Perspective","authors":"K. Čyras","doi":"10.4114/INTARTIF.VOL20ISS59PP40-81","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS59PP40-81","url":null,"abstract":"Reasoning with preference information is a common human activity. As modelling human reasoning is one of the main objectives of AI, reasoning with preferences is an important topic in various fields of AI, such as Knowledge Representation and Reasoning (KR). Argumentation is one particular branch of KR that concerns, among other tasks, modelling common-sense reasoning with preferences. A key issue there, is the lack of consensus on how to deal with preferences. Witnessing this is a multitude of proposals on how to formalise reasoning with preferences in argumentative terms. As a commonality, however, formalisms of argumentation with preferences tend to fulfil various criteria of `\"rational\" reasoning, notwithstanding the fact that human reasoning is often not `\"rational\", yet seemingly `\"intuitive\". In this paper, we study how several formalisms of argumentation with preferences model human intuition behind a particular common-sense reasoning problem. More specifically, we present a common-sense scenario of reasoning with rules and preferences, complemented with a survey of decisions made by human respondents that indicates an \"intuitive\" solution, and analyse how this problem is tackled in argumentation. We conclude that most approaches to argumentation with preferences afford a ``\"rational\" solution to the problem, and discuss one recent formalism that yields the \"intuitive\" solution instead. We argue that our results call for advancements in the area of argumentation with preferences in particular, as well as for further studies of reasoning with preferences in AI at large.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"477 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127558731","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}
引用次数: 1
Mining Users Mobility at Public Transportation 矿业用户在公共交通上的移动性
Inteligencia Artif. Pub Date : 2017-02-06 DOI: 10.4114/INTARTIF.VOL20ISS59PP32-41
J. Ferreira
{"title":"Mining Users Mobility at Public Transportation","authors":"J. Ferreira","doi":"10.4114/INTARTIF.VOL20ISS59PP32-41","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS59PP32-41","url":null,"abstract":"In this research work we propose a new approach to estimate the number of passengers in a public transportation and determinate the users’ route path based on a passive approach without user intervention. The method is based on the probe requests of users mobile device through the collected data in wireless access point. This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time. This data can be manipulated to extract useful knowledge related with users’ habits at public transportation and extract user mobility patterns.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389045","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}
引用次数: 3
Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources 不确定决策环境下的能源规划:可再生能源优先级的证据推理方法
Inteligencia Artif. Pub Date : 2017-02-01 DOI: 10.4114/INTARTIF.VOL20ISS59PP21-31
Hamza Sellak, B. Ouhbi, B. Frikh
{"title":"Energy planning under uncertain decision-making environment: An evidential reasoning approach to prioritize renewable energy sources","authors":"Hamza Sellak, B. Ouhbi, B. Frikh","doi":"10.4114/INTARTIF.VOL20ISS59PP21-31","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL20ISS59PP21-31","url":null,"abstract":"Nowadays, making strategic decisions in a sensitive sector such as energy planning that usually requiresallocating huge funds, time, and resources is a difficult task. For instance, prioritizing a set of Renewable EnergySources (RES) is a complex multi-dimensional task that typically involves a range of conflicting criteria featuringdifferent forms of evaluation data in an uncertain decision-making environment. This process is aligned withseveral sources that can be uncertain, including imprecise information, limited domain knowledge from decisionmakers,and failures to provide accurate judgments from experts. In this study, we propose to use the EvidentialReasoning (ER) approach to manage the expanding complexities and uncertainties in RES prioritization problem.The ER approach is employed as a multiple criteria framework to assess the appropriateness regarding the use ofdifferent renewable energy technologies. A case study is provided to illustrate the implementation process. Resultsshow that using the ER approach when assessing the sustainability of different RES under uncertainty allowsproviding robust decisions, which brings out a more accurate, effective, and better-informed decision-making toolto conduct the evaluation process.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123047229","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}
引用次数: 7
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