More and more our society is linked to the stability of financial markets and this stability depe... more More and more our society is linked to the stability of financial markets and this stability depends on key players like private companies, financial markets, investors, analysts, government control agencies and so on. Sarbanes-Oxley Act is a mandatory law in EEUU market and a facto standard in rest of the world and has as main objective to keep the desire financial stability. Within this chapter it will be shown a new decision support intelligent financial model over SOX compatibility based on Artificial Intelligent technology together with Theory of Argumentation . The main aim of this model is to help and support private companies, auditors, executive boards and regulatory bodies to take a SOX compliant decision over an specific process of a typical purchasing financial cycle: The Contracting Process. The decision will be supported by the whole argumentation process drive by this model and will be reinforce with quality measures with the final objective to create a very clear argumentative background about the suggested decision. This model directly contributes to both scientific research artificial intelligence area and business sector. From business perspective it empowers the use of intelligent models and techniques to drive decision making over financial statements. From scientific and research area the impact is based on the combination of the following innovative elements: (1) an specific Information Seeking Dialog Protocol, (2) a Facts Valuation based Protocol in which previous gathered facts are analyzed, (3) the already incorporated initial knowledge coming from human expert knowledge, (4) the Intra-Agent Decision Making Protocol based on deductive argumentation and (5) the Semi Automated Fuzzy Dynamic Knowledge Learning Protocol giving as a result a novel approach to this kind of problems.
From anomalies of daily data of maximum and minimum temperatures, that have been obtained as diff... more From anomalies of daily data of maximum and minimum temperatures, that have been obtained as difference between the real data of every day and the average data of the corresponding day of the year in each of the 14 observatories of the Spanish Central Plateau (8 in North subplateau and 6 in the South subplateau) between 1961-2010, the extremely cold and warm days are determined, throughout all the year, in all the study area and the two different sub areas. We consider a day as an extremely cold day (ECD) if achieves simultaneously the following conditions: the anomaly of minimum temperature of the day is lower than the value of the P05 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is lower, as well, than the P 05 percentile of the corresponding series of anomalies. The values of the thresholds determined by these percentiles are obtained considering the complete anomalies daily series of temperature for all the study regions. In order to establish the extremely warm days the methodology is the same but the conditions are: the anomaly of minimum temperature of the day is greater than the value of the P 95 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is greater as well than the P 95 percentile of the corresponding anomalies series. Once the extremely warm and cold days are determined, throughout the year in the period of time considered, for each zone, the corresponding series of annual frequencies are obtained. The analysis of tendency of these series indicates that in all the cases the tendency of the frequency of the extremely cold days is decreasing. Considering a linear model for the temporary behavior of the frequency, the reduce is of the order of 1 day every 10 years. In the case of the extremely warm days its annual frequency presents an increasing tendency, which indicates that the number of extremely warm days per year has been increased during the studied time interval. In agreement with the linear model of behavior, the
From anomalies of daily data of maximum and minimum temperatures, that have been obtained as diff... more From anomalies of daily data of maximum and minimum temperatures, that have been obtained as difference between the real data of every day and the average data of the corresponding day of the year in each of the 14 observatories of the Spanish Central Plateau (8 in North subplateau and 6 in the South subplateau) between 1961-2010, the extremely cold and warm days are determined, throughout all the year, in all the study area and the two different sub areas. We consider a day as an extremely cold day (ECD) if achieves simultaneously the following conditions: the anomaly of minimum temperature of the day is lower than the value of the P05 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is lower, as well, than the P 05 percentile of the corresponding series of anomalies. The values of the thresholds determined by these percentiles are obtained considering the complete anomalies daily series of temperature for all the study regions. In order to establish the extremely warm days the methodology is the same but the conditions are: the anomaly of minimum temperature of the day is greater than the value of the P 95 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is greater as well than the P 95 percentile of the corresponding anomalies series. Once the extremely warm and cold days are determined, throughout the year in the period of time considered, for each zone, the corresponding series of annual frequencies are obtained. The analysis of tendency of these series indicates that in all the cases the tendency of the frequency of the extremely cold days is decreasing. Considering a linear model for the temporary behavior of the frequency, the reduce is of the order of 1 day every 10 years. In the case of the extremely warm days its annual frequency presents an increasing tendency, which indicates that the number of extremely warm days per year has been increased during the studied time interval. In agreement with the linear model of behavior, the
Using data sets on the daily data of maximum atmospheric pressure at ground level collected at 14... more Using data sets on the daily data of maximum atmospheric pressure at ground level collected at 14 weather stations located in the central zone of the Iberian Peninsula [Spanish central plateau (SCP)], the series of daily maximum pressure anomalies at each station, together with the difference between the daily value and mean daily value for each day of the year for the period between 1961 and 2003, have been established. The regional series of such anomalies were constructed for the whole study zone and for two differentiated parts of the same. As thresholds for the extreme values of the anomaly series, the values corresponding to the P 05 and P 95 percentiles were used. The series of annual frequencies of days with anomaly values below and above the threshold values were constructed for each of the weather stations, together with the average series for the whole study zone and each of its two parts. The corresponding regional average series of seasonal frequencies were also constructed. From an analysis of the trend of the series of the annual frequency of extreme anomaly values in daily maximum pressure it may be deduced that the lowest values show a decreasing annual trend, while the highest ones show an increasing frequency. This indicates that between 1961 and 2003 the number of days per year on the SCP with the highest extreme atmospheric pressure values at ground level increased along the study period. In contrast the number of days per year with lower extreme values decreased. Additionally, analysis of the seasonal frequency series indicated that it was the winter that dictated such behaviour.
This paper presents a deliberative agent that incorporates a hybrid system as a reasoning motor i... more This paper presents a deliberative agent that incorporates a hybrid system as a reasoning motor in the frame of CBR systems. To solve this problem the agent incorporates neural networks to implement the stages of the CBR system. Our agent can acquire knowledge and adapt itself to environmental changes. The hybrid system has been applied for evaluating the interaction between the atmosphere and the ocean. The system has been tested successfully, and the results obtained are presented in this paper.
Información del artículo Diseño de una red neuronal autoasociativa para resolver el problema de v... more Información del artículo Diseño de una red neuronal autoasociativa para resolver el problema de viajante de comercio (Traveling Salesman Problem, TSP).
92 A multiagent recommending system for shopping centres Javier Bajo1, Juan M. Corchado2, Yanira ... more 92 A multiagent recommending system for shopping centres Javier Bajo1, Juan M. Corchado2, Yanira de Paz2, Juan F. de Paz2, Quintín Martín2 Abstract. This paper presents a multiagent model that provides recommendations on leisure facilities and shopping on ...
En este trabajo se recogen los resultados obtenidos con la heur´ýstica Redes Neuronales Artificia... more En este trabajo se recogen los resultados obtenidos con la heur´ýstica Redes Neuronales Artificiales (RNA) en la predicci´on de temperaturas en la Comunidad de Castilla y Le´on. Las estaciones donde se han recogido los datos son: ´Avila, Burgos, Le´on, Salamanca, Soria, ...
From anomalies of daily data of maximum and minimum temperatures, that have been obtained as diff... more From anomalies of daily data of maximum and minimum temperatures, that have been obtained as difference between the real data of every day and the average data of the corresponding day of the year in each of the 14 observatories of the Spanish Central Plateau (8 in North subplateau and 6 in the South subplateau) between 1961-2010, the extremely cold and warm days are determined, throughout all the year, in all the study area and the two different sub areas. We consider a day as an extremely cold day (ECD) if achieves simultaneously the following conditions: the anomaly of minimum temperature of the day is lower than the value of the P05 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is lower, as well, than the P05 percentile of the corresponding series of anomalies. The values of the thresholds determined by these percentiles are obtained considering the complete anomalies daily series of temperature for ...
Información del artículo Asignación cuadratica (QAP) mediante GRASP, Una aplicación a los cuadrad... more Información del artículo Asignación cuadratica (QAP) mediante GRASP, Una aplicación a los cuadrados grecolatinos.
More and more our society is linked to the stability of financial markets and this stability depe... more More and more our society is linked to the stability of financial markets and this stability depends on key players like private companies, financial markets, investors, analysts, government control agencies and so on. Sarbanes-Oxley Act is a mandatory law in EEUU market and a facto standard in rest of the world and has as main objective to keep the desire financial stability. Within this chapter it will be shown a new decision support intelligent financial model over SOX compatibility based on Artificial Intelligent technology together with Theory of Argumentation . The main aim of this model is to help and support private companies, auditors, executive boards and regulatory bodies to take a SOX compliant decision over an specific process of a typical purchasing financial cycle: The Contracting Process. The decision will be supported by the whole argumentation process drive by this model and will be reinforce with quality measures with the final objective to create a very clear argumentative background about the suggested decision. This model directly contributes to both scientific research artificial intelligence area and business sector. From business perspective it empowers the use of intelligent models and techniques to drive decision making over financial statements. From scientific and research area the impact is based on the combination of the following innovative elements: (1) an specific Information Seeking Dialog Protocol, (2) a Facts Valuation based Protocol in which previous gathered facts are analyzed, (3) the already incorporated initial knowledge coming from human expert knowledge, (4) the Intra-Agent Decision Making Protocol based on deductive argumentation and (5) the Semi Automated Fuzzy Dynamic Knowledge Learning Protocol giving as a result a novel approach to this kind of problems.
From anomalies of daily data of maximum and minimum temperatures, that have been obtained as diff... more From anomalies of daily data of maximum and minimum temperatures, that have been obtained as difference between the real data of every day and the average data of the corresponding day of the year in each of the 14 observatories of the Spanish Central Plateau (8 in North subplateau and 6 in the South subplateau) between 1961-2010, the extremely cold and warm days are determined, throughout all the year, in all the study area and the two different sub areas. We consider a day as an extremely cold day (ECD) if achieves simultaneously the following conditions: the anomaly of minimum temperature of the day is lower than the value of the P05 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is lower, as well, than the P 05 percentile of the corresponding series of anomalies. The values of the thresholds determined by these percentiles are obtained considering the complete anomalies daily series of temperature for all the study regions. In order to establish the extremely warm days the methodology is the same but the conditions are: the anomaly of minimum temperature of the day is greater than the value of the P 95 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is greater as well than the P 95 percentile of the corresponding anomalies series. Once the extremely warm and cold days are determined, throughout the year in the period of time considered, for each zone, the corresponding series of annual frequencies are obtained. The analysis of tendency of these series indicates that in all the cases the tendency of the frequency of the extremely cold days is decreasing. Considering a linear model for the temporary behavior of the frequency, the reduce is of the order of 1 day every 10 years. In the case of the extremely warm days its annual frequency presents an increasing tendency, which indicates that the number of extremely warm days per year has been increased during the studied time interval. In agreement with the linear model of behavior, the
From anomalies of daily data of maximum and minimum temperatures, that have been obtained as diff... more From anomalies of daily data of maximum and minimum temperatures, that have been obtained as difference between the real data of every day and the average data of the corresponding day of the year in each of the 14 observatories of the Spanish Central Plateau (8 in North subplateau and 6 in the South subplateau) between 1961-2010, the extremely cold and warm days are determined, throughout all the year, in all the study area and the two different sub areas. We consider a day as an extremely cold day (ECD) if achieves simultaneously the following conditions: the anomaly of minimum temperature of the day is lower than the value of the P05 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is lower, as well, than the P 05 percentile of the corresponding series of anomalies. The values of the thresholds determined by these percentiles are obtained considering the complete anomalies daily series of temperature for all the study regions. In order to establish the extremely warm days the methodology is the same but the conditions are: the anomaly of minimum temperature of the day is greater than the value of the P 95 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is greater as well than the P 95 percentile of the corresponding anomalies series. Once the extremely warm and cold days are determined, throughout the year in the period of time considered, for each zone, the corresponding series of annual frequencies are obtained. The analysis of tendency of these series indicates that in all the cases the tendency of the frequency of the extremely cold days is decreasing. Considering a linear model for the temporary behavior of the frequency, the reduce is of the order of 1 day every 10 years. In the case of the extremely warm days its annual frequency presents an increasing tendency, which indicates that the number of extremely warm days per year has been increased during the studied time interval. In agreement with the linear model of behavior, the
Using data sets on the daily data of maximum atmospheric pressure at ground level collected at 14... more Using data sets on the daily data of maximum atmospheric pressure at ground level collected at 14 weather stations located in the central zone of the Iberian Peninsula [Spanish central plateau (SCP)], the series of daily maximum pressure anomalies at each station, together with the difference between the daily value and mean daily value for each day of the year for the period between 1961 and 2003, have been established. The regional series of such anomalies were constructed for the whole study zone and for two differentiated parts of the same. As thresholds for the extreme values of the anomaly series, the values corresponding to the P 05 and P 95 percentiles were used. The series of annual frequencies of days with anomaly values below and above the threshold values were constructed for each of the weather stations, together with the average series for the whole study zone and each of its two parts. The corresponding regional average series of seasonal frequencies were also constructed. From an analysis of the trend of the series of the annual frequency of extreme anomaly values in daily maximum pressure it may be deduced that the lowest values show a decreasing annual trend, while the highest ones show an increasing frequency. This indicates that between 1961 and 2003 the number of days per year on the SCP with the highest extreme atmospheric pressure values at ground level increased along the study period. In contrast the number of days per year with lower extreme values decreased. Additionally, analysis of the seasonal frequency series indicated that it was the winter that dictated such behaviour.
This paper presents a deliberative agent that incorporates a hybrid system as a reasoning motor i... more This paper presents a deliberative agent that incorporates a hybrid system as a reasoning motor in the frame of CBR systems. To solve this problem the agent incorporates neural networks to implement the stages of the CBR system. Our agent can acquire knowledge and adapt itself to environmental changes. The hybrid system has been applied for evaluating the interaction between the atmosphere and the ocean. The system has been tested successfully, and the results obtained are presented in this paper.
Información del artículo Diseño de una red neuronal autoasociativa para resolver el problema de v... more Información del artículo Diseño de una red neuronal autoasociativa para resolver el problema de viajante de comercio (Traveling Salesman Problem, TSP).
92 A multiagent recommending system for shopping centres Javier Bajo1, Juan M. Corchado2, Yanira ... more 92 A multiagent recommending system for shopping centres Javier Bajo1, Juan M. Corchado2, Yanira de Paz2, Juan F. de Paz2, Quintín Martín2 Abstract. This paper presents a multiagent model that provides recommendations on leisure facilities and shopping on ...
En este trabajo se recogen los resultados obtenidos con la heur´ýstica Redes Neuronales Artificia... more En este trabajo se recogen los resultados obtenidos con la heur´ýstica Redes Neuronales Artificiales (RNA) en la predicci´on de temperaturas en la Comunidad de Castilla y Le´on. Las estaciones donde se han recogido los datos son: ´Avila, Burgos, Le´on, Salamanca, Soria, ...
From anomalies of daily data of maximum and minimum temperatures, that have been obtained as diff... more From anomalies of daily data of maximum and minimum temperatures, that have been obtained as difference between the real data of every day and the average data of the corresponding day of the year in each of the 14 observatories of the Spanish Central Plateau (8 in North subplateau and 6 in the South subplateau) between 1961-2010, the extremely cold and warm days are determined, throughout all the year, in all the study area and the two different sub areas. We consider a day as an extremely cold day (ECD) if achieves simultaneously the following conditions: the anomaly of minimum temperature of the day is lower than the value of the P05 percentile of the series of daily anomalies of minimum temperature, and the value of the anomaly of daily maximum temperature is lower, as well, than the P05 percentile of the corresponding series of anomalies. The values of the thresholds determined by these percentiles are obtained considering the complete anomalies daily series of temperature for ...
Información del artículo Asignación cuadratica (QAP) mediante GRASP, Una aplicación a los cuadrad... more Información del artículo Asignación cuadratica (QAP) mediante GRASP, Una aplicación a los cuadrados grecolatinos.
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