australasian conference on artificial life and computational
... PAPER SUBMISSION DEADLINE 27 September 2014 (extended) ...
... PAPER SUBMISSION DEADLINE 27 September 2014 (extended) ...
THEORETICAL FOUNDATIONS FOR GIS Cristina Fierbinteanu
... pieces of software from a variety of fields. For this reason the GIS “database” of thematic (aspatial) attributes uses classical (dBase) files and sometimes totally unsuitable spreadsheet software. The most serious problem is that the lack of conceptual modeling, integrating the different data types ...
... pieces of software from a variety of fields. For this reason the GIS “database” of thematic (aspatial) attributes uses classical (dBase) files and sometimes totally unsuitable spreadsheet software. The most serious problem is that the lack of conceptual modeling, integrating the different data types ...
4. Objectives for the Emotional Business Intelligence
... and capable of preparing the emotionally inspired and intuitive decisions? This would be definitely helpful for various business decisions on top of Big Data, if to assume that such an emotional context will enhance capabilities of the available Business Intelligence tools. ...
... and capable of preparing the emotionally inspired and intuitive decisions? This would be definitely helpful for various business decisions on top of Big Data, if to assume that such an emotional context will enhance capabilities of the available Business Intelligence tools. ...
Expert System
... An Expert System is a program that has access to a large database or knowledge about one particular subject. ...
... An Expert System is a program that has access to a large database or knowledge about one particular subject. ...
The Wiley-Blackwell Journal Expert Systems: The Journal of
... The Pattern Recognition (PR) and Artificial Intelligence (AI) scientific communities have shared knowledge and effort in order to obtain more effective solutions for many different research areas. However, although the techniques and approaches are somewhat similar, the two communities often tackle ...
... The Pattern Recognition (PR) and Artificial Intelligence (AI) scientific communities have shared knowledge and effort in order to obtain more effective solutions for many different research areas. However, although the techniques and approaches are somewhat similar, the two communities often tackle ...
A reinforcement learning model of joy, distress, hope and fear.
... different groups have shown that mood-like signals emerging from the interaction between the agent and its environment can be used to optimize search behavior of an adaptive agent (Broekens, 2007; Broekens et al., 2007; Hogewoning et al., 2007; Schweighofer & Doya, 2003) by manipulating the amount o ...
... different groups have shown that mood-like signals emerging from the interaction between the agent and its environment can be used to optimize search behavior of an adaptive agent (Broekens, 2007; Broekens et al., 2007; Hogewoning et al., 2007; Schweighofer & Doya, 2003) by manipulating the amount o ...
DECSAI TECHNICAL REPORT Department of Computer Science
... this method consists of retrieving the most similar case (Question/Answer pairs) among all cases by analogy. Keyword comparison criterion or statistical approaches are often used to implement similarity measure. However, those methods present the following disadvantages. On the one side, choosing ke ...
... this method consists of retrieving the most similar case (Question/Answer pairs) among all cases by analogy. Keyword comparison criterion or statistical approaches are often used to implement similarity measure. However, those methods present the following disadvantages. On the one side, choosing ke ...
From Semantic to Emotional Space in
... emotional vectors. The matrices just present the knowledge about the frequency of a word in documents or documents in ratings. Suppose we have prior information about the semantic similarity between some words before using the hidden model. For example, there are two words w1 and w2 in the matrices ...
... emotional vectors. The matrices just present the knowledge about the frequency of a word in documents or documents in ratings. Suppose we have prior information about the semantic similarity between some words before using the hidden model. For example, there are two words w1 and w2 in the matrices ...
AI Technique in Diagnostics and Prognostics
... units, where the input units usually represent terms, the output unit(s) represents the category. BP neural network can improve the accuracy of classification. There are several theoretical advantages of BP neural network that make it especially adaptable to be employed in interacting prediction. It ...
... units, where the input units usually represent terms, the output unit(s) represents the category. BP neural network can improve the accuracy of classification. There are several theoretical advantages of BP neural network that make it especially adaptable to be employed in interacting prediction. It ...
P80-1034
... computational linguistics brings to these problems its own special requirements, such as the need to consider the beliefs, goals, and possible actions of multiple agents, and the need to precipitate the achievement of multiple goals through the performance of actions with multiple-faceted primary ef ...
... computational linguistics brings to these problems its own special requirements, such as the need to consider the beliefs, goals, and possible actions of multiple agents, and the need to precipitate the achievement of multiple goals through the performance of actions with multiple-faceted primary ef ...
Artificial Intelligence - Academic year 2016/2017
... a machine running the “right” program (e.g., for natural language understanding) does not necessarily have a mind ...
... a machine running the “right” program (e.g., for natural language understanding) does not necessarily have a mind ...
Notes 1: Introduction to Artificial Intelligence
... – mapping sounds from a microphone into a list of words – classic problem in AI, very difficult • “Lets talk about how to wreck a nice beach” • (I really said “________________________”) ...
... – mapping sounds from a microphone into a list of words – classic problem in AI, very difficult • “Lets talk about how to wreck a nice beach” • (I really said “________________________”) ...
The Spanish adaptation of ANEW (Affective Norms for English Words)
... and R 5 .443, p , .000, for males. These values were lower than those obtained in the Spanish adaptation of the IAPS (.65 and .61 for women and men, respectively). No statistically significant differences were found in the mean ratings by men and women in none of the three dimensions (Table 3). Pear ...
... and R 5 .443, p , .000, for males. These values were lower than those obtained in the Spanish adaptation of the IAPS (.65 and .61 for women and men, respectively). No statistically significant differences were found in the mean ratings by men and women in none of the three dimensions (Table 3). Pear ...
