Existing cellular networks are centrally managed and require a tremendous initial investment. With the advancement of new wireless technologies, the operators of traditional networks have to face new competition. New technologies make it possible to provide wireless services with substantially less investment. There are two interdependent trends that enable this progress: the evolution of techn...

In this paper, we rst discuss the meaning of physical embodiment and the complexity of the environment in the context of multiagent learning. We then propose a vision-based reinforcement learning method that acquires cooperative behaviors in a dynamic environment. We use the robot soccer game initiated by RoboCup [12] to illustrate the e ectiveness of our method. Each agent works with other tea...

This paper concerns the helping behavior in multi-agent systems. Helping actions represent an interesting and rich testbed for examining the reasons for cooperative behavior in multiagent systems. Starting from previous studies on multi-agent dependence relations, a basic definition of help is given, and some of the motivations for helping are briefly discussed. Moreover, an experimental enviro...

Theoretical models suggest that social networks influence the evolution of cooperation, but to date there have been few experimental studies. Observational data suggest that a wide variety of behaviors may spread in human social networks, but subjects in such studies can choose to befriend people with similar behaviors, posing difficulty for causal inference. Here, we exploit a seminal set of l...

– Natural multi-agent systems like ant colonies prove that decentralized systems based on simple constituent parts can exhibit advanced global behavior that has important advantages over explicit central control in others systems. Unfortunately, it is difficult to design a collection of individual components and their local interaction in a way that will give rise to a successful global behavio...

A simulated automobile factory paint shop is used as a testbed for exploring the emulation of human decision-making behavior. A discrete-events simulation of the paint shop as a collection of interacting Java actors is described. An evolutionary cognitive architecture is under development for building software actors to emulate humans in simulations of human-dominated complex systems. In this p...

The purpose of this paper is twofold First we outline important issues in designing real time controllers for robots with numerous sensors actuators and behaviors We address these issues by implementing a behavior based controller on a sophisticated autonomous robot Hence this work provides a point of reference for the scalability ease of design and e ectiveness of the behavior based control fo...

This paper presents a method for engineering and programming multirobot systems, based on a combination of statecharts and hybrid automata, which are well-known in the fields of software engineering and artificial intelligence. This formal specification method allows graphical presentation of the whole multiagent system behavior. In addition, these specifications can be directly executed on mob...

Spectacular examples of cooperative behavior emerge among a variety of animals and may serve critical roles in fitness [1, 2]. However, the rules governing such behavior have been difficult to elucidate [2]. Drosophila larvae are known to socially aggregate [3, 4] and use vision, mechanosensation, and gustation to recognize each other [5-8]. We describe here a model experimental system of coope...

As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even the interaction between various components cannot be reduced to simple rules, as the complexities of realistic dynamic environments become unwieldy to characterize manually. To cope with these challenges, we propose an ...