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From an industrial and technological point of view, fuzzy control theory deals with the development of a particular system controller on a specific hardware by means of an open or legacy programming language that is useful to address, in a high-level fashion, the hardware constraints. Independently from the complexity of the addressed application problem, the development time may be very expensive...
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Without the security assurance from the underlining operating system, software agents and agencies are constantly under security threats through the operating system. Although the security issues between software agents and agencies have been studied intensively, any formulated counter-measurement of these issues are subject to attacks that are able to exploit the vulnerabilities of the operating...
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In this paper, we present an agent-based system to control a single robot's behaviour. We present an artificial genome structure, based on gene regulatory networks, in which several regions can be distinguished such as promoter regions, indicator genes, transcription factor binding sites, regulatory genes and expressed genes. We use agent-based modeling (ABM) to simulate a bio-inspired system based...
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The wide diffusion of community tagging sites and related folksonomies has made the knowledge discovery and retrieval still much more urgent topic. If tagging systems allow users to add freely keywords to web resources, clicking on a tag has the side effect of a tag-based query, since enables the users to explore related content. The collective knowledge expressed though user-annotated data has a...
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Agent-Based Social Simulations have been largely used to study social phenomena. These kinds of simulations are related to reproduce real societies (e.g. social behaviors) using a bottom-up strategy. In classical social simulations, plausible macro-behaviors are only obtained if the social scientists input every features, components and relationships. Alternatively, modern agent-based modeling tools...
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In the context of wireless instrumentation systems, we proposed the MWAC model to enable reliable communications between sensors. This model, based on a self-organization process, is operational and has been usefully deployed on real world wireless sensors networks. However, for some applications, MWAC presents an important limitation. In fact, for a given emergent structure, the process offers only...
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It has been widely documented that at least 70% of commercial aviation incidents in the last 15 years are to be ascribed to human errors, although that is to be linked together with the difficulties in interactions with the ever more complexity of modern planes. Therefore there has been an enormous increase in avionics and on-board systems which, taken one by one, should increase safety, but on the...
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Adversarial decision making is aimed at determining optimal decision strategies to deal with an adversarial and adaptive opponent. One defense against this adversary is to make decisions that are intended to confuse him, although our rewards can be diminished. In this contribution, we describe ongoing research in the design of time varying decision strategies for a a simple adversarial model. The...
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The Trading Agent CAT Market Design Competition aims to implement intelligent adaptive systems for controlling the operations of an abstract double auction market on a day to day basis whereby simulated software trading agents participate to buy and sell according to special constraints and rules. In the competition, the given agent, called market specialist, runs in direct competition to other market...
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Electricity markets are complex environments with very particular characteristics. MASCEM is a market simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. This paper presents a new proposal for the definition of MASCEM players' strategies to negotiate in the market. The proposed methodology is multiagent based, using...
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In order to stimulate the development and research in computer Go, several Taiwanese Go players were invited to play against some famous computer Go programs. Those competitions revealed that the ontology model for Go game might resolve problems happened in the competitions. Therefore, this tutorial will present a Go game record ontology and Go board ontology schemes. An ontology-based fuzzy inference...
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Holon is a powerful metaphor which captures the recursive structure of biological systems and the organization of their decision processes arranged at various granularity abstraction levels. From a computational intelligence perspective, a holon can be conceived as a goal-oriented community of lower-level holons led by more specific targets. Sub-holons co-operate on sub-problems that represent the...
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In this article, we present the architectural and algorithmic details for a COgnitive System Architecture that uses a Centralized Ontology with Specific Algorithms (COSA2). COSA2 is a layered intelligent agent framework on the basis of the modified Rasmussen model of human performance. It encompasses integrated algorithmic support for goal-driven situation interpretation, dynamic planning and plan...
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Understanding environment is a very complex task to solve. Modeling and Development of components of the environment in a symbolic way permit to simplify and clarify functional parts of components and interactions. In order to have a complete system specification, a rigorous behavior description is needed. Different levels of abstraction of behavior are taking in to account. The objective of our semantic...
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Sociodemographic studies on human migration phenomena are mostly based on surveys and censuses, which significantly increases the research costs. This scenario becomes even worse when the study involves migration and social networks, which often lacks on representative data and consensually accepted concepts by demographers and sociologists. In this paper we propose a new multi-evolutionary agent...
