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Artificial Intelligence (AI) is a fast developing area that is applied to many daily problems, replacing the tried and true heuristics used by society for a long time. This paper provides a framework to estimate the value added by different steps and components used to create and apply AI models. Such estimations are useful to decide if deploying AI models makes economical sense, reported to the specific...
With the rapid development of new theories and technologies, especially AI, data mining and emerging communication technologies, both data collection and smart data analysis have provided new approaches for the development and improvement of ITS (Intelligent Transportation Systems). This paper proposed an IEB-oriented ITS Model which combined data mining with 3S (RS, GIS, GPS) Technologies to help...
In the past decades, there has been an implicit explosion of absorption in Artificial Intelligence (AI) field. AI supplies robust and flexible means for acquiring solutions to a diversity of problems that often cannot be solved by other, more traditional and orthodox methods. Nowadays, its use is increasing rapidly in many sectors of complicated practical problems. Meanwhile, electrical energy demand...
A cellular automaton model proposed by Motoike includes reaction-diffusion dynamics in a simple manner (Motoike, J. Phys. Soc. Jpn. 2007). The semi-random grid adopted in this model is designed to describe biological phenomena that involve intrinsic fluctuations. It has been shown that this model can exhibit branching patterns reminiscent of neural dendrites, whose formation may be regulated by excitation...
Which attributes are the basic ones when we describe the rational agent's internal states? How many attributes are sufficient enough for application? Those have been pending problems. This paper analyzes the limitations of the past research in this field, presents rational agent's attributes of KOCBDI and illustrates, by means of simulated RoboCup, that KOCBDI is independent.
In this paper, we give a progress report on an ongoing effort at Accenture to develop a technology platform for building a wide range of corporate radar applications,which can turn the Web into a systematic source of business insight. Our goal is to share the platform we have developed and the lessons we have learned, so others can leverage this knowledge when building similar applications. We give...
In this paper we propose the use of answer set programming (ASP) to model protein interaction networks. We argue that this declarative formalism rivals the popular boolean networks in terms of ease of use, while at the same time being more expressive. As we demonstrate for the particular case of a fission yeast network, all information present in a boolean network, as well as relevant background assumptions,can...
Artificial searching swarm algorithm (ASSA) is a new optimization algorithm. This paper presents two type behaviors rules of searching swarm, and discusses the performance of the algorithm based on the different rules. By analyzing the simulation results, an improved ASSA with mutative searching step is proposed. The function simulation tests prove that the improved algorithm implements better performance...
In e-commerce, the negotiation based on multi-agent has become an active field. This paper brings a new multi-agent auto negotiation model which is done using multi-agent system, fuzzy evaluation algorithm and game theory. Firstly, we design negotiation model; secondly, we analyze the flow; finally, we build a negotiation platform in according to combination with Web technique and jade. The model...
The paper presents a game model of informational competition between an activist and a listed company in the environmental system, and proposes that in an equilibrium, the listed company discloses favorable information and hides unfavorable information, whereas the activist exposes what the company hide after filtering the collected information, and the media reports what they have found after an...
Searching to reproduce intelligence by the mean of modelling cognitive abilities has been a trend of artificial intelligence research for over fifty years. With respect to this, the relatively limited advances of this last decade suggest that new areas of consideration need to be investigated. In particular, Nouvelle AI, which originates from a more ecological approach, claims a critical part for...
This paper utilizes a novel decision support model to study the pattern in the football match, and to find the interesting association rule and cooperation custom. Data mining technique, serial data, pass time and ball possession are employed to build the decision model. The proposed model is not only expatiated in the article, but also is proved by the experiments. In short, the model provides a...
Granular computing is not only a computing model for computer-centered problem solving, but also a thinking way for human-centered problem solving. Some authors have presented the structures of such kind models and investigated various perspectives of granular computing from different application points of views. Theory of quotient space is a new granule computing tool. In order to solve the difficult...
The IEEE Computational Intelligence Society (CIS) focuses on computational and theoretical aspects of mimicking nature for problem solving. CIS core technologies include neural, fuzzy, and evolutionary computation, as well as hybrid intelligent systems that contain these and other related paradigms. The Society has its own history of transformation from the Neural Network Council to the Neural Network...
We study the complexity of the propositional minimal inference problem. Its complexity has been extensively studied before because of its fundamental importance in artificial intelligence and nonmonotonic logics. We prove that the complexity of the minimal inference problem with unbounded queries has a trichotomy (between P, coNP-complete, and Pi2P-complete). This result finally settles with a positive...
This paper proposes a new data reuse model for graph-based simulation in qualitative reasoning. Qualitative-based simulation is one of important and traditional tools to analyze a dynamic system and to initiate knowledge and principles for students in artificial intelligence. To simply make a model and run a simulation, the graph-based qualitative simulation is a promising method to enhance the efficiency...
Genetic Programming is applied to solve scheduling problems. The resulting tool simulates the PERT method of project control, and Genetic Programming provides multiple acceptable solutions. This tool has a wide application in the management of large and complex projects. It is a bio-inspired means to obtain solution in many disparate areas of activity such as for computer gaming, and when a complex...
CORE, a trust model is proposed trying to solve agent coalition formation problem. The model characterizes an agent's trust from two aspects of competence and reputation. In the paper, the Euclidean distance formula of vector space on competence field is used to measure the extent which an agent fitting for a particular task, and the membership function is used to characterize an agent's reputation...
Based on the theory of system engineering, coal mine production safety has been analyzed. From workers, production process, coal production and economy, coal mine production safety evaluation indexes have been confirmed, and then the BP neural network model of coal mine production safety evaluation has been built. After training and testing the model, the model can accurately evaluate the coal mine...
Global economic crisis should be accepted in two ways: as a limitation, but also as an opportunity. Related to tourism, crisis will surely reflect on the Croatian tourism for a simple reason that the target group of Croatian tourism is middle and lower class population of the central and Western Europe, with lower purchasing power. These classes are the first to be hit by a crisis, which implies the...
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