
Автор
Carlos Gershenson
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Carlos Gershenson — новинки
- 3 издания на 2 языках
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Carlos Gershenson Artificial Societies of Int...
ISBN: 9783838357737 Год издания: 2010 Издательство: LAP LAMBERT Academic Publishing Язык: Английский Аннотация
In this book we use artificial societies to understand and simulate adaptive behaviour and social processes. We obtain this in three parallel ways: First, we present a behaviours production system capable of reproducing a high number of properties of adaptive behaviour and of exhibiting emergent lower cognition. Second, we introduce a simple model for social action, obtaining emergent complex social processes from simple interactions of imitation and induction of behaviours in agents. And third, we present our approximation to a behaviours virtual laboratory, integrating our behaviours production system and our social action model in virtual animats. Before presenting our proposals, we make an introduction to artificial intelligence and behaviour-based systems, and also we give notions of complex systems and artificial societies. Finally, we discuss about the role of adaptive behaviour for understanding cognition and its evolution. -
Carlos Gershenson Design and Control of Self...
ISBN: 9783838335285 Год издания: 2009 Издательство: LAP LAMBERT Academic Publishing Язык: Английский Аннотация
Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this book I propose a methodology to aid engineers in the design and control of complex systems. This is based on the description of systems as self-organizing. Starting from the agent metaphor, the methodology proposes a conceptual framework and a series of steps to follow to find proper mechanisms that will promote elements to find solutions by actively interacting among themselves. A general introduction to complex thinking is given, while practical notions of complexity and self-organization are put forward. To illustrate the methodology, I present three case studies. Self- organizing traffic light controllers are proposed and studied with multi-agent simulations, outperforming traditional methods. Methods for improving communication within self-organizing bureaucracies are advanced. Finally, requirements for self- organizing artifacts in an ambient intelligence scenario are discussed. Philosophical implications of the conceptual framework are also put forward. -
Carlos Gershenson Artificial Neural Networks ...