Intention is choice with commitment
Artificial Intelligence
Developing Intelligent Agent Systems: A Practical Guide
Developing Intelligent Agent Systems: A Practical Guide
Tool Support for Agent Development using the Prometheus Methodology
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Power and negotiation: lessons from agent-based participatory simulations
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Using Participatory Paradigm to Learn Human Behaviour
KSE '09 Proceedings of the 2009 International Conference on Knowledge and Systems Engineering
Towards a methodology for the participatory design of agent-based models
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Integrating BDI reasoning into agent based modeling and simulation
Proceedings of the Winter Simulation Conference
Situational preferences for BDI plans
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
| Hi-index | 0.00 |
Agent based simulations often model humans and increasingly it is necessary to do this at an appropriate level of complexity. It has been suggested that the Belief Desire Intention (BDI) paradigm is suitable for modeling the cognitive processes of agents representing (some of) the humans in an agent based modeling simulation. This approach models agents as having goals, and reacting to events, with high level plans, or plan types, that are gradually refined as situations unfold. This is an intuitive approach for modeling human cognitive processes. However, it is important that users can understand, verify and even contribute to the model being used. We describe a tool that can be used to explore, understand and modify, the BDI model of an agent's cognitive processes within a simulation. The tool is interactive and allows users to explore options available (and not available) at a particular agent decision point.