This paper presents a model for adaptive agents. The model describes the behavior of an agent as a graph of roles, in short a behavior graph. Links between roles provide conditions...
Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivie...
Being able to trust in a system behavior is of prime importance, particularly within the context of critical applications as embedded or real-time systems. We want to ensure that ...
Caroline Chopinaud, Amal El Fallah-Seghrouchni, Pa...
Studying the genetic control of molecular, anatomical and/or morphological phenotypes in model organisms is a powerful tool in the functional analysis of a gene. The goal of our r...
Alexander Vaughan, Rahul Singh, Ilmi Yoon, Megumi ...
Requirements models for large systems typically cannot be developed in a single step, but evolve in a sequence of iterations. We have developed such an iterative modeling process ...
The success of many online services today depends on the company’s ability to persuade users to take specific actions, such as registering or inviting friends. We examined over 5...
In this paper we introduce a system that automatically adds different types of non-verbal behavior to a given dialogue script between two virtual embodied agents. It allows us to ...
Werner Breitfuss, Helmut Prendinger, Mitsuru Ishiz...
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conicts in the behavior of agents can make the execution of interacti...
Real-world behavior-based robot control problems require the coordination of a large number of competing behaviors. However, coordination becomes increasingly difficult as the num...
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...
— Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed move...