The Z notation: a reference manual
The Z notation: a reference manual
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Where there's a Will there's an agent
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Goal creation in motivated agents
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
Understanding agent systems
Putting Numbers into the Mathematical Toolkit
Proceedings of the Z User Workshop
Formalisms for multi-agent systems
The Knowledge Engineering Review
Towards a motivation-based approach for evaluating goals
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Motivation-Based Selection of Negotiation Partners
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Motivations as an Abstraction of Meta-level Reasoning
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Toward a motivated BDI agent using attributes embedded in mental states
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Motivation-based selection of negotiation opponents
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
Emotion models for situated normative systems?
DEON'06 Proceedings of the 8th international conference on Deontic Logic and Artificial Normative Systems
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In this paper we present a motivational mechanism to generate and determine the worth of goals and to represent various constraints involved in satisfying a goal. The work builds on the smart agent framework and adds to the growing body of work that is attempting to extend the abilities of autonomous agents past the constraints of the traditional symbolic approaches to AI. The paper represents a first step in increasing an agent's autonomy in the domain of e-commerce, specifically enabling the agent to dynamically set issue parameters in relation to the importance of the issue and the effects of any existing constraints.