Results 1 -
5 of
5
Weak Interaction and Strong Interaction in Agent Based Simulations
- Eds), Lecture Notes in Artificial Intelligence 2927
, 2003
"... This paper addresses the problem of the engineering divergence phenomenon in ABS. This problem is related to the fact that a particular conceptual model may give di#erent outputs according to its implementation. Through two experiments, the paper shows that the implementation of the agents' ..."
Abstract
-
Cited by 10 (1 self)
- Add to MetaCart
(Show Context)
This paper addresses the problem of the engineering divergence phenomenon in ABS. This problem is related to the fact that a particular conceptual model may give di#erent outputs according to its implementation. Through two experiments, the paper shows that the implementation of the agents' interaction is one of the factors that are involved in this phenomenon. The underlying idea of this paper is that this problem can be greatly diminished if the analysis of the conceptual model incorporates some key concepts which are crucial for the implementation. To this end, this work proposes to identify two di#erent classes of interaction: weak interactions and strong interactions.
Interaction Biases in Multi-Agent Simulations: An Experimental Study
"... Abstract. How to ensure that two different implementations of a sim-ulation will produce the same results? In order to assure simulation reproducibility, some domain-independent functional unit must be pre-cisely described. We show in this paper that the management unit that rules the participation ..."
Abstract
-
Cited by 2 (2 self)
- Add to MetaCart
(Show Context)
Abstract. How to ensure that two different implementations of a sim-ulation will produce the same results? In order to assure simulation reproducibility, some domain-independent functional unit must be pre-cisely described. We show in this paper that the management unit that rules the participation of an agent in simultaneous interactions is one of them. Usually, many choices concerning this unit are made implicitly, even if they might lead to many simulation biases. We illustrate this issue through a study of biases that appear even in simple cases, due to a specification lack, and we propose as a solution a classification of interactions that makes those choices explicit. 1
Author manuscript, published in "Autonomous Agents and Multi-Agent Systems, Saint-Paul: United States (2013)"
, 2013
"... Towards a truck-driver model using a hysteresis based analysis and verification approach ..."
Abstract
- Add to MetaCart
(Show Context)
Towards a truck-driver model using a hysteresis based analysis and verification approach
Replication, Replication and Replication
- Journal of Artificial Societies and Social Simulation
, 2003
"... This paper explores the extent to which simulation models can be related to other simulation models so that their results, as well as their intended design, are consistent with each other. That is, the extent to which simulation models can be faithfully replicated in different implementations so the ..."
Abstract
- Add to MetaCart
This paper explores the extent to which simulation models can be related to other simulation models so that their results, as well as their intended design, are consistent with each other. That is, the extent to which simulation models can be faithfully replicated in different implementations so they give the same results
Using the BPM Method and System Dynamics for Simulation of Software Processes
"... Modeling and simulation of a software process is one way a company can decide which software process and/or its adjustment is the best solution for its current project. Since there are many different approaches to modeling and simulation and all of them have pros and cons, the very first task is the ..."
Abstract
- Add to MetaCart
(Show Context)
Modeling and simulation of a software process is one way a company can decide which software process and/or its adjustment is the best solution for its current project. Since there are many different approaches to modeling and simulation and all of them have pros and cons, the very first task is the selection of the appropriate and useful model and simulation approach for the current domain and selected conditions. In this paper we focus on applying a discrete event based modeling and simulation approach and system dynamics modeling and simulation approach to the real case study of the software process. The issue is the comparison of the approaches that should answer the questions: what type of information can we get from the simulation results and how can we use it for decisions about the software process.