Artificial Intelligence - Special issue on knowledge representation
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
JAM: a BDI-theoretic mobile agent architecture
Proceedings of the third annual conference on Autonomous Agents
Implementing soft real-time agent control
Proceedings of the fifth international conference on Autonomous agents
AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
An architecture for Real-Time Reasoning and System Control
IEEE Expert: Intelligent Systems and Their Applications
The orchestration of behaviours using resources and priority levels
Proceedings of the Eurographic workshop on Computer animation and simulation
Intention Scheduling for BDI Agent Systems
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
A General Framework for Parallel BDI Agents
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
A general framework for parallel BDI agents in dynamic environments
Web Intelligence and Agent Systems
Dynamic Control of Intention Priorities of Human-like Agents
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
An agent's activities are controlled by his priorities
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
A domain-independent framework for modeling emotion
Cognitive Systems Research
Motivation Based Goal Adoption for Autonomous Intelligent Agents
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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A real-time robotic agent that takes care of an elderly person at home will need to schedule various tasks in real time. The deadlines of its tasks are generally soft (missing a deadline by a few minutes in most cases has no serious consequences). Another characteristic is that many tasks are preferably done close to some time points instead of as soon as possible. To support such time management behaviour, we propose to enrich the BDI agent framework with an extension which consists of two processing components, a priority changing function (PCF) selector and a priority controller. The priorities of desires/intentions are represented by their PCFs. A PCF is a function of both time and the utility value of a desire/intention. So it represents both the urgency and the importance (beneficial value) of a desire/intention. We propose a method of constructing PCFs which model the change of priorities of tasks as time passes. Simulation experiments show that sigmoid function can control the activities of an agent better than constant priorities with respect to getting tasks done with smaller mean earliness and smaller mean tardiness. A BDI agent built with this time management mechanism will try to complete its tasks at the right time. The order in which multiple goals and multiple intentions are handled will be flexible and time dependent.