Here you will find an evolving list of researchers around world who do agent-based modeling or related work. This list is intended as a resource for those interested in discovering people doing interesting research in ABM or related fields in different disciplines. Where ever possible, I try to link a picture of the person, which is directly linked to their website.
Total Researchers Listed on this Page: 10
“Elske van der Vaart’s dissertation research focuses on simulation a population of ‘virtual corvids’ with an agent-based model and to examine how different internal representations affect behavior.
Alberto Valero research interests include path planning and motion control development of human-robot interfaces. For example, he with Prof. Miguel Hernando we are addressing mobile robot path planning for 3D environments (ground, ramps,etc.). As for the motion control I am working on potential field based motion control, fuzzy control and thinking about how to work with Evolutionary Computing for real time calibration of the motion controller.
Pieter Valkering’s research career at ICIS started as part of the European FIRMA project. This project aimed to gain insights in the social aspects of water management through the application of agent based social simulation models. Pieter worked on model development, including integrated river modelling and agent based social simulation for the case study of “De Maaswerken” in Limburg. Recent work experience at ICIS includes work on Social Learning and ICTools as part of the European HARMONICOP project, the development of a qualitative modelling tool for actor analysis and communication support in the context of city planning (COHESIE), and the development of an innovative participatory agent based modelling tool as part of the EU project Matisse.
Marco Valente research interests include the interplay of supply and demand dynamics; the development of an agent-based simulation environment called Laboratory for Simulation Development (LSD) provides useful tools both for beginners and advanced users; methodology of simulations in social sciences; complexity, using an NK model and devising a real-valued (instead of binary) and deterministic (instead of stochastic) model; the exploration of the macro-economic implications of the evolutionary perspective; and the study of networks, extending the standard social network analysis to dynamic and generative issues.
M. Birna van Riemsdijk’s research includes organizations and norms in agent programming; shared mental models; agent-based simulation and training; human-agent teamwork; semantics of cognitive agent programming languages; goals in cognitive agent programming; specification and verification for cognitive agent programming languages; languages for service-oriented computing; and the relation between agents and services.
Franck Varenne’s research focuses on the history and epistemology of models and computer simulation in contemporary science. Through case studies and by comparing different epistemic roles (be it theoretical, explanative, predictive, …) of ABM both in computational biology and in computational social sciences, his work aims at coining and testing concepts that permit a more discriminating comprehension of such roles.
Manuela M. Veloso’s research interests include the goal of the effective construction of autonomous agents where cognition, perception, and action are combined to address planning, execution, and learning tasks. Her vision is that multiple intelligent robots with different sets of complementary capabilities will provide a seamless synergy of intelligence. Specifically, her research focuses on the continuous integration of reactive, deliberative planning, and control learning for teams of multiple agents acting in adversarial, dynamic, and uncertain environments. Of particular interest to her is learning, adversarial modeling, reuse, and abstraction in multiagent problems.
Daniel Villatoro’s research is focused on social norms and its emergence and expansion in multiagent societies. Some simulations developed by him (using JUNG) can be seen: Group Recognition using Social Norms (AAMAS09); Convention Emergence on One Dimensional Lattice; and Convention Emergence on Scale Free.
Yoram Vodovotz’s research interests include mathematical models of the inflammatory response in trauma, sepsis, wound healing, and chronic diseases; control of the inducible nitric oxide (NO) synthase (NOS2) by the cytokine transforming growth factor-B1 (TGF-B1) in numerous physiological and pathological settings; control of the activation of TGF-B1 by NO, other free radicals, and therapeutic agents for inflammatory conditions; subcellular localization of NOS2; modulation of inflammation in hemorrhagic shock; mechanisms of LPS action on hepatocytes; and the role of NO in the modulation of the pro-apoptotic protein BNIP3.
Paul Vogt’s research concentrates on studying language evolution, social learning and first language acquisition using ethnographic psycholinguistic methods combined with agent-based modelling. In particular, he aims to understand the socio-cognitive mechanisms that individuals (artificial and human) require to develop meaningful language from interacting with their environment and how these can be transmitted and shared among other individuals.
Vlasios Voudouris’ research interests include geospatial modelling, complex systems science, agent-based computational economics (ACE), and energy & sustainable economic growth. See in particular his ACEGES model, which for Agent-based Computational Economics of the Global Energy System.
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