Swarm robotic systems are currently being used to address many real-world problems. One interesting application of swarm robotics is the self-organized formation of structures and shapes. Some of the key challenges in the swarm robotic systems include swarm size constraint, random motion, coordination among robots, localization, and adaptability in a decentralized environment. Rubenstein et al....

The current study examined associations between organized activity involvement, academic achievement, and problem behavior in a sample of youth from a non-agricultural based rural community (Mage = 15.26, Age range = 11-19 years, N = 456). Analyses examined whether associations varied as a function of adolescent gender and age. Participants reported their involvement in a broad range of organiz...

in this paper, we present a multi-formalism modeling framework (abbreviated by mfmf) for modeling and simulation. the proposed framework is defined based on the concepts of meta-models and uses object-orientation to overcome the complexities and to enhance the extensibility. the framework can be used as a basis for modeling by various formalisms and to support model composition in a unified man...

In this paper, we present a self-organized computing approach to solving hard combinatorial optimization problems, e.g., the traveling salesman problem (TSP). First of all, we provide an analytical characterization of such an approach, by means of formulating combinatorial optimization problems into autonomous multi-entity systems and thereafter examining the microscopic characteristics of opti...

Next Generation Networks (NGN) aim to offer a wide variety of advanced telecommunications and multimedia services. Introduction of these services will be enabled mainly by two factors: increased bandwidth in the access network and convergence of different legacy networks towards a universal all-IP core network. The offer of large number of services in the NGN environment will arise the need for...

We investigate an artificial self-organizing multi-particle (also multi-agent or swarm) system consisting of many (up to 10) reactive, mobile agents. The agents’ movements are governed by a few simple rules and interact indirectly via a pheromone field. The system generates a wide variety of complex patterns. For some parameter settings this system shows a notable property: seemingly never-endi...

We develop an empirical methodology to study markets for services. These markets are typically organized as multi-attribute auctions in which buyers take into account seller’s price as well as various characteristics, including quality. Our identification and estimation strategies exploit observed buyers’ and sellers’ decisions to recover the distribution of sellers’ qualities, the distribution...

In this paper, we describe a content language for a hierarchically organized production control system in semiconductor manufacturing. The semiconductor manufacturing domain is characterized by re-entrant product flows, sequence-dependent setup-times, prescribed due-dates, a diverse product mix, a mix of different process types including batch processes and preventive maintenance issues caused ...

Global economy is driving manufacturing companies into a paradigm revolution. Highly customizable products at lower prices and with higher quality are among the most imposed influence factors. To respond properly to these external and internal constraints, such as work absence and machine failures, companies must be in a constant adaptation phase. Several manufacturing control architectures hav...

The giant single-celled slime mould Physarum polycephalum exhibits complex morphological adaptation and amoeboid movement as it forages for food and may be seen as a minimal example of complex robotic behaviour. Swarm computation has previously been used to explore how spatio-temporal complexity can emerge from, and be distributed within, simple component parts and their interactions. Using a p...