Titlebook: Current Topics in Artificial Intelligence; 11th Conference of t Roque Marín,Eva Onaindía,José Santos Conference proceedings 2006 Springer-V

支形吊灯

Agent Behavior Representation in INGENIASese methodologies is how to describe the behaviour of agents within a system. A developer needs primitives to express autonomy, proactivity, and social concerns of his agents, but there are problems in understanding what does these elements mean, beyond any natural language explanation. There is a c

露天历史剧

Agent-Based Modeling of Social Complex Systems modeling and simulating these systems like artificial societies. Agent based modeling (ABM) is well fitted for the study of social systems as it focuses on how local interactions among agents generate emergent larger and global social structures and patterns of behavior. The issues addressed by our

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Agent-Based Solutions for Natural Language Generation Tasksr each one of the specific generation tasks. This paper presents an agent-based module for referring expression generation and aggregation, implemented within the framework of a generic architecture for implementing multi-agent systems: Open Agent Architecture.

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Patrimony

An Effective Robotic Model of Action Selection most of these requirements. In this model, action selection occurs by combining sensory information from the non-homogenous sensors of an off-the-shelf robot with the feedback from competing behavioral modules. In order to successfully clean an arena, the animal robot (.) has to present a coherent

Certainty

myocardium

Classification Algorithms for Biomedical Volume Datasetsroperty function elicitation process is proposed and particularized for the use of attribute-value classifiers. The process is evaluated in terms of accuracy and speed using four different off-the-shelf classifiers (J48, Naïve Bayes, Simple Logistic and ECOC-Adaboost). The empirical results confirm

ATP861

Coalition Formation in P2P File Sharing Systemsng content. Recent empirical studies have shown that they suffer from freeloaders, that is, peers that consume many more resources or content than they contribute. In this paper we propose a coalition formation based incentive mechanism for P2P file sharing systems, that improves the system performa

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Combining Human Perception and Geometric Restrictions for Automatic Pedestrian Detectiong vision systems on appropriate regions of interests (ROIs), in contrast to training on predefined and arbitrarily selected regions. Here we focus on detecting pedestrians in static scenes. Our aim is to answer the following question: .

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Comparative Analysis of Artificial Neural Network Training Methods for Inverse Kinematics Learning applied to determine the joint positions of a humanoid robot in locomotion tasks, defining the successive stable robot configurations needed to achieve the final foot position in each step. Our approach is based on the postural scheme method, using artificial neural networks to solve the problem. I