Grid-World is a working computer model which has been used to investigate the search capabilities of artificial agents that understand the world in terms of non-conceptual content. The results from this model show that the non-conceptual agent outperformed the stimulus response agent, and both were outperformed by the conceptual agent. This result provides quantitative evidence to support the t...

Agent-oriented methodologies and related modeling techniques have become a priority for the development of large scale agent-based systems. Several methodologies have been proposed for the development of multiagent systems (MAS). For the most part, these methodologies remain incomplete: they are either an extension of object-oriented methodologies or an extension of knowledge-based methodologie...

Agent-based systems that are composed of simple locally interacting agents but which demonstrate complex group behavior o er several advantages over traditional multi-agent systems. A well-designed complex agent-based systems is an e cient, robust, adaptive and stable system. It has very low communication and computational requirements, meaning that there are virtually no constraints on the sys...

This paper summarises work within an interdisciplinary collaboration which has explored different approaches to modelling complex systems in order to identify and develop common tools and techniques. We present an overview of the models that have been explored and the techniques that have been used by two of the partners within the project. On the one hand, there is a partner with a background ...

The complexity associated to Humanitarian Demining becomes very high due to its broad set of activities, which beyond the already complex of landmine removal, includes other socio-economic supporting activities. Hence, more complex computer based supporting systems are required. The main goal of this article is to describe potential applications of multi-agent systems to the Humanitarian Demini...

Using a knowledge-based approach we adjust a knowledgebased algorithm for multi-agent communication for the process of cooperative problem solving (CPS). The knowledge-based algorithm for multiagent communication [1] solves the sequence transmission problem from one agent to a group of agents, but does not fully comply with the dialogue communication involved during a CPS process. A property of...

The general framework of our project is the development of a simulation environment for complex systems with an agent-based approach. The main goal is to define and implement an evolutionary and generic platform. This paper describes an application of our research in this area, by presenting a development process adapted to this kind of issue. Because of the non-determinist part of the tackled ...

This paper aims to discuss engineering aspects for an agent-based ambient assisted living system for the home environment using argumentation for decision making. The special requirements of our system are to provide a platform with cost-effective specialized assisted living services for the elderly people having cognitive problems, which will significantly improve the quality of their home lif...

Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduct...

In this essay I argue that modern macroeconomic theory has fallen behind the practice of central banking. After briefly summarizing the current state of macro theory, I focus on what strikes me as the two most important developments in monetary policy in the last two decades – inflation targeting and dealing with financial crises. My analysis rejects the claims made by several authors to the ef...