The allocation of m resources between n agents is an AI problem with a great practical interest for automated trading. The general question is how to configure the behavior of bargaining agents to induce a socially optimal allocation. The literature contains many proposals for calculating a social welfare but the Nash welfare seems to be the one which has the most interesting properties for a f...

In this paper we developed system for coordinatization the robot-soccer game. This coordinatization we want to use for strategy extraction. The robot soccer is bimilar ant-like systems, which take advantage of agents’ situatedness to reduce or eliminate the need for centralized control or global knowledge. This reduces the need for complexity of individuals and leads to robust, scalable systems...

This paper proposes a new model to predict the process execution behavior on heterogeneous multicomputing environments. This model considers the process execution costs such as processing, hard disk acessing, message transmitting and memory allocation. A simulator of this model was developed which help to predict the execution behavior of processes on distributed environments under different sc...

We conduct a controlled laboratory experiment where subjects dynamically choose their portfolio allocation between a safe and a risky asset. We first derive analytically the optimal allocation of an expected utility maximizer with HARA utility function. We then fit the experimental choices to this model to assess the risk attitude of our subjects. Despite the substantial heterogeneity across su...

the market for carbon dioxide rights emerged as one of the tools applicable to the implementation of the measures adopted by the kyoto protocol to combat climate change. in this paper we analyze the case of spain, because their peculiar administrative division into seventeen autonomous communities, it is relevant to a detailed study of emissions and allowances of the industries that make up ...

A variety of vertebrate species modulate immune function on a seasonal basis to cope with seasonal energy deficits and competing life-history demands, such as reproduction. Most studies to date have focused upon seasonal variation of cellular and humoral immunity, while neglecting behavioral responses to infection. These behavioral strategies are collectively termed sickness behaviors and are h...

We present an individual-based model that uses artificial evolution to predict fit behavior and life-history traits on the basis of environmental data and organism physiology. Our main purpose is to investigate whether artificial evolution is a suitable tool for studying life history and behavior of real biological organisms. The evolutionary adaptation is founded on a genetic algorithm that se...

BACKGROUND Subjects with Attention-Deficit Hyperactivity Disorder (ADHD) are overdistractible by stimuli out of the intended focus of attention. This control deficit could be due to primarily reduced attentional capacities or, e. g., to overshooting orienting to unexpected events. Here, we aimed at identifying disease-related abnormalities of novelty processing and, therefore, studied event-rel...

FOR MEDICAL HUMANITARIAN ORGANIZATIONS, MAKING THEIR SOURCES OF LEGITIMACY EXPLICIT IS A USEFUL EXERCISE, IN RESPONSE TO: misperceptions, concerns over the 'humanitarian space', controversies about specific humanitarian actions, challenges about resources allocation and moral suffering among humanitarian workers. This is also a difficult exercise, where normative criteria such as international ...

Outcome-adaptive randomization allocates more patients to the better treatments as the information accumulates in the trial. Is it worth it to apply outcome-adaptive randomization in clinical trials? Different views permeate the medical and statistical communities. We provide additional insights to the question by conducting extensive simulation studies. Trials are designed to maintain the type...