The vision of the Smart Grid includes demand-side peak shaving strategies, such as real-time pricing or profile’s based tariffs, to encourage consumption such that the peaks on demand are flattened. Up to date, most works along this line focused on optimising via scheduling of home appliances or micro-storage the individual user consumption. Alternatively, in this demonstration we propose to ex...

The impact of mobile technologies on healthcare is particularly evident in the case of self-management of chronic diseases, where they can decrease spending and improve the patient quality of life. In this position paper we propose the adoption of agent-based modelling and simulation techniques as built-in tools to dynamically monitor patient health state and provide recommendations for self-ma...

In this paper we develop an agent-based model to study land use, settlement, and social organization patterns at a particular region of the island of Crete during the Bronze Age. Considering farming as the main activity for sustaining the early Minoan civilization, we evaluate the impact of different social organization models and agricultural strategies on population viability and spatial dist...

How did culturally shared systems of combinatorial speech sounds initially appear in human evolution? This paper proposes the hypothesis that their bootstrapping may have happened rather easily if one assumes an individual capacity for vocal replication, and thanks to self-organization in the neural coupling of vocal modalities and in the coupling of babbling individuals. This hypothesis is emb...

A key issue in the literature on collaborative governance has been the question of how to ensure the responsiveness of the system to the general public interest as well as to specific underrepresented interests. In particular, it is unclear whether or not the self-organizing nature of collaborative governance can serve to enhance the responsiveness of the system. This paper investigated two asp...

An agent-based computer simulation of death by inheritable mutations in a changing environment shows a maximal population, or avoids extinction, at some intermediate mutation rate of the individuals. Thus death seems needed to allow for evolution of the fittest, as required by a changing environment.

A supply network (SN) is a complex adaptive system, and its structure and collaboration mechanism evolves over time. However, most literature views SN as a static system and the study on the evolution of SNs is very limited. Based on complex adaptive system and fitness landscape theory, this paper first proposes an evolution model of SNs in order to understand the general principle of SN evolut...

Leader Election in Distributed Networks Using Agent Based Self-stabilizing Technique. (August 2003) Raghav Tandon, B.E., Netaji Subhas Institute of Technology, New Delhi, India Chair of Advisory Committee: Dr. Hoh In There are many variants of leader election algorithm in distributed networks. In this research, an agent based approach to leader election in distributed networks is investigated. ...

An agent-based model of food web evolution is presented and contrasted with a particular system dynamics model. Both models examine the effects of speciation and species invasion of food webs, but the agent-based approach focuses on the interactions between individuals in the food web, whereas the system dynamics approach focuses on the overall system dynamics. The system dynamics model is an a...

This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic representation in developing agents. Some novel techniques are introduced that enables the neural network to process and manipulate sequential and hierarchical structures of information. It is suggested that by incorpo...