STUDENT 1

The increased believability provided by emotions in virtual characters is a valuable feature in a multi agent environment. Despite much research on how to model emotions based on events that affect a character’s goals, the current emotional models usually do not take into account other sources of emotions, such as norms and standards. Moreover, current normative systems usually do not consider ...

Without an environment, an agent is effectively useless. Cut off from the rest of its world, the agent can neither sense nor act. An environment provides the conditions under which an entity (agent or object) can exist. It defines the properties of the world in which an agent will function. Designing effective agents requires careful consideration of both the physical and communicational aspect...

Virtual agents are traditionally constrained in their embodiment, as they are restricted to one form of body. We propose allowing them to change their embodiment in order to expand their capabilities. This presents users with a number of difficulties in maintaining the identity of the agents, but these can be overcome by using identity cues, certain features that remain constant across embodime...

Different models have been proposed to support emotion in artificial agents. However, a general framework to support the implementation of emotional agents of different kinds and levels of complexity is still not well defined. In this paper we present a model that is independent of specific physiological or psychological details, despite being inspired by biological processes, defining an emoti...

Episodic Memory (EM) abilities are important for many types of intelligent virtual agents (IVAs). However, the few IVA–EM systems implemented to date utilize indexed logs of events as the underlying memory representation, which makes it hard to model some crucial facets of human memory, including hierarchical organization of episodes, reconstructive memory retrieval, and encoding of episodes wi...

STUDENT 1

The aim of this paper is to present a framework for developing intelligent agents that act in dynamic and unpredictable environments in a robust and efficient way. To achieve this objective, agents must be able to balance between reactive and deliberative planning. This paper emphasizes on the seamless integration of these planning techniques and on the smooth transition between reactive and de...