Abstract. Research on practical models of autonomous agents has largely focused on a procedural view of goal achievement. This allows for efficient implementations, but prevents an...
TuTalk supports the rapid development of dialogue agents for learning applications. It enables an experimenter to create a dialogue agent with either minimal or no programming and ...
Pamela W. Jordan, Brian Hall, Michael A. Ringenber...
The Goal Decomposition Tree model has been introduced in 2005 by Mermet et al. [9] to specify and verify the behaviour of an agent evolving in a dynamic environment. This model pr...
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
After two decades of effort, type inference for dynamically typed languages scales to programs of a few tens of thousands of lines of code, but no further. For larger programs, th...