Journal of Intelligent & Fuzzy Systems - Volume 12, issue 3-4

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 133-134, 2002

Authors: Read, Timothy | Bárcena, Elena | Barros, Beatriz | Verdejo, Felisa

Article Type: Research Article

Abstract: The use of interactive on-line environments in distance learning appears to be promising because they solve some of the difficulties teachers have maintaining control of individual student progress due to the large number of students present in such courses. However, in the case of language learning, work is still required to design a system that is as flexible and effective as an experienced teacher. In this paper I-PETER (Intelligent Personalised English Tutoring EnviRonment) is presented as …an advance in this area. It has four domain models that represent linguistic and didactic knowledge. Its student linguistic knowledge model is richer than that typically used in language teaching: a student's command of English is evaluated by interpreting his/her performance on specific linguistic units in terms of three related criteria, rather than by a general linguistic competence ranking. This model enables error diagnosis to be undertaken using a Bayesian network, to reflect how teachers actually undertake the process in the classroom. The results of this diagnosis process enable a finer-grained control of material selection than is normally possible, giving rise to a course structure that is continuously adapted to individual student needs. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 135-149, 2002

Authors: Sapena, Oscar | Onaindía, Eva

Article Type: Research Article

Abstract: SimPlanner is an integrated tool for planning and execution-monitoring which allows to interleave planning and execution. In this paper we present the on-line planner incorporated in SimPlanner. This is a domain-independent planner for STRIPS domains. SimPlanner participated in the IPC 2002, obtaining very competitive results.

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 151-161, 2002

Authors: Mérida-Casermeiro, Enrique | Muñoz-Pérez, José

Article Type: Research Article

Abstract: This paper shows a new type Hopfield multivalued recurrent neural model (MREM) and some of its learning capabilities. So, the network can be used as an associative memory (multivalued counterpart of Hopfield network). Moreover, when only two states ({-1, 1} or {0, 1}) are allowed, the network coincides with the bipolar or binary Hopfield discrete models. Although there exist some other multivalued type Hopfield models, this model uses, in a more proper way, the multivalued information contained in …a multivalued neuron. It is possible because we have considered that the interaction between neurons is expressed by a general real function between their outputs, whereas most of others models use the product function that produces only two possible values with a drastic lost of the multivalued information. The introduction of this function of the outputs of neurons (that we are naming function of similarity as it measures the similarity between the outputs of neurons) allows to represent more properly the interaction between two similar, but different, neuron outputs (for example: waves, colors, etc.) than a binary (or previous multivalued models) do. In this paper, a method to load a set of patterns into the network has been studied. That method generalizes the Hopfield's one when multivalued neurons are been considered. Finally, it is shown that by using an augmented network and loading augmented patterns we can avoid the storage of spurious patterns into the network, as the well-known effect of loading the opposite pattern into the Hopfield's network. For this new storage technics has been obtained an expression that allows to set bounds to the capacity of the network. It must be considered that multivalued patterns contains much more information than bipolar ones. So, for similar capacity value a multivalued network must be preferred to another one whose neuron outputs can take only two values. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 163-173, 2002

Authors: Ruiz, Roberto | Riquelme, José C. | Aguilar-Ruiz, Jesús S.

Article Type: Research Article

Abstract: The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. Depending on the method to apply: starting point, search organization, evaluation strategy, and the stopping criterion, there is an added cost to the classification algorithm that we are going to use, that normally will be compensated, in greater or smaller extent, by the attribute reduction in the classification …model. The method proposed in this work utilizes a measure based on projections to guide the selection of the attributes. The algorithm (SOAP: Selection of Attributes by Projection) has some interesting characteristics: lower computational cost (O(mn log n) m attributes and n examples in the data set) with respect to other typical algorithms due to the absence of distance and statistical calculations; its applicability to any labelled data set, that is to say, it can contain continuous and discrete variables, with no need for transformation. The performance of SOAP is analysed in two ways: percentage of reduction and classification. SOAP has been compared to CFS [4] and ReliefF [8]. The results are generated by C4.5 before and after the application of the algorithms. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 175-183, 2002

Authors: Pons-Porrata, Aurora | Berlanga-Llavori, Rafael | Ruiz-Shulcloper, José

Article Type: Research Article

Abstract: In this paper we propose a new incremental clustering algorithm for Event Detection, which is based on the mathematical properties of the compact sets. Additionally, this algorithm makes use of the temporal references appearing in the document texts to measure the similarity between documents according to the events that they describe. In order to discover the structure of topics and composite events, the clustering algorithm is hierarchically applied to the stream of newspaper articles. Thus, in …the first level, documents with a high temporal-semantic similarity are clustered together into events. In the next levels of the hierarchy, these events are successively clustered into more complex events and topics. The evaluation results demonstrate that regarding the temporal references of documents improves the quality of the system-generated clusters, and that the overall performance of the proposed system compares favorably to other on-line detection systems of the literature. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 185-194, 2002

Authors: Lopes, Fernando | Mamede, Nuno | Novais, A.Q. | Coelho, Helder

Article Type: Research Article

Abstract: Autonomous agents are being used in an increasing number of applications. The agents operate in complex environments and, over time, conflicts inevitably occur among them. Negotiation is the predominant process for resolving conflicts. This paper presents a generic negotiation model for autonomous agents that handles multi-party, multi-issue and single or repeated rounds. The model is based on computationally tractable assumptions and accounts for a tight integration of the individual capability of planning and …the social capability of negotiation. This paper also describes an experiment conducted to evaluate the model in different types of situations. The experimental results confirmed a number of well-documented conclusions about human negotiation. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 195-212, 2002

Authors: García-Orellana, C.J. | Macías-Macías, M. | Serrano-Pérez, A. | González-Velasco, H.M. | Gallardo-Caballero, R.

Article Type: Research Article

Abstract: In this work a back propagation neural network is used for the segmentation of Meteosat images covering the Iberian Peninsula. The images are segmented in the classes land (L), sea (S), fog (F), low clouds (C_L ), middle clouds (C_M ), high clouds (C_H ) and clouds with vertical growth (C_V ). The classification is performed from an initial set of several statistical features based on the gray level co-occurrence …matrix (GLCM) proposed by Welch [1]. This initial set of features is made up of 144 parameters and to reduce its dimensionality three methods for feature selection have been studied and compared. The first one includes genetic algorithms (GA), the second is based on principal component analysis (PCA) and the third uses independent component analysis (ICA). These methods are conceptually very different. While GA interacts with the neural network in the selection process, PCA and ICA only depend on the values of the initial set of features. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 213-219, 2002

Authors: Peñas, Anselmo | Verdejo, Felisa | Gonzalo, Julio

Article Type: Research Article

Abstract: Current search systems fail to satisfy users when the relevant information is written in a foreign language; when the user is not aware of the relevant – perhaps specialized – terminology for a given topic; or when the user need is fuzzy and requires assisted search once inside an appropriate web portal. This paper describes an interactive multilingual search system that alleviates such limitations, through the browsing of phrases in different languages after being automatically extracted …from the text collection. The evaluation of WTB has been focussed in two aspects: the capability to offer translingual terminology to users, and the usefulness of phrase browsing. In this sense, the evaluation shows that users consider the new level of terminological information useful, as it complements the traditional document ranking outcome. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 221-233, 2002

Authors: Cano, J.R. | Cordón, O. | Herrera, F. | Sánchez, L.

Article Type: Research Article

Abstract: We present a new approach for Cluster Analysis based on a Greedy Randomized Adaptive Search Procedure (GRASP), with the objective of overcoming the convergence to a local solution. It uses a probabilistic greedy Kaufman initialization to get initial solutions and K-Means as a local search algorithm. The approach is a new initialization one for K-Means. Hence, we compare it with some typical initialization methods: Random, Forgy, Macqueen and Kaufman. Our empirical results suggest that the hybrid …GRASP – K-Means with probabilistic greedy Kaufman initialization performs better than the other methods with improved results. The new approach obtains high quality solutions for eight benchmark problems. Show more

Keywords: clustering, greedy randomized adaptive search procedure, K-Means

Citation: Journal of Intelligent & Fuzzy Systems, vol. 12, no. 3-4, pp. 235-242, 2002