This article discusses a formal belief, desire, intention (BDI)-based agent model for theory of mind (ToM). The model uses BDI concepts to describe the reasoning process of an agent that reasons about the reasoning process of another agent, which is also based on BDI concepts. We discuss three different application areas and illustrate how the model can be applied to each of them. We explore a case study for each of the application areas and apply our model to it. For each case study, a number of simulation experiments are described, and their results are discussed. Copyright © 2011 Taylor & Francis Group, LLC
Introduction Within the ATAL community, the belief-desire-intention (BDI) model has come to be poss...
A central issue in the development of agents that have practical reasoning skills is the concept of ...
. We present a conceptual model for how the social nature of agents impacts upon their individual me...
This article discusses a formal belief, desire, intention (BDI)-based agent model for theory of mind...
Virtual training provides an effective means to train complex, dynamic tasks like social interaction...
The study of computational agents capable of rational behaviour has received a great deal of attenti...
The study of computational agents capable of rational behaviour has received a great deal of attenti...
Agent-based models (ABMs) are increasingly being used for exploring and supporting decision making a...
Agent-Based Models (ABMs) is increasingly being used for exploring and supporting decision making ab...
The BDI paradigm is a powerful means for constructing intelligent agents in terms of their beliefs, ...
Within the ATAL community, the belief-desire-intention (BDI) model has come to be possibly the best ...
Agent-based simulations are now widely used to study complex systems. However, the problem of the ag...
In the last five years multi-agent systems have been a major focus of research in AI. The concept of...
The Belief, Desire, Intention (BDI) agent architecture is a popular approach for developing complex ...
Modeling human decision-making behaviors under a complex and uncertain environment is quite chal-len...
Introduction Within the ATAL community, the belief-desire-intention (BDI) model has come to be poss...
A central issue in the development of agents that have practical reasoning skills is the concept of ...
. We present a conceptual model for how the social nature of agents impacts upon their individual me...
This article discusses a formal belief, desire, intention (BDI)-based agent model for theory of mind...
Virtual training provides an effective means to train complex, dynamic tasks like social interaction...
The study of computational agents capable of rational behaviour has received a great deal of attenti...
The study of computational agents capable of rational behaviour has received a great deal of attenti...
Agent-based models (ABMs) are increasingly being used for exploring and supporting decision making a...
Agent-Based Models (ABMs) is increasingly being used for exploring and supporting decision making ab...
The BDI paradigm is a powerful means for constructing intelligent agents in terms of their beliefs, ...
Within the ATAL community, the belief-desire-intention (BDI) model has come to be possibly the best ...
Agent-based simulations are now widely used to study complex systems. However, the problem of the ag...
In the last five years multi-agent systems have been a major focus of research in AI. The concept of...
The Belief, Desire, Intention (BDI) agent architecture is a popular approach for developing complex ...
Modeling human decision-making behaviors under a complex and uncertain environment is quite chal-len...
Introduction Within the ATAL community, the belief-desire-intention (BDI) model has come to be poss...
A central issue in the development of agents that have practical reasoning skills is the concept of ...
. We present a conceptual model for how the social nature of agents impacts upon their individual me...