Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Guarantees for autonomy in cognitive agent architecture
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Redesigning the agents' decision machinery
Affective interactions
Decisions Based upon Multiple Values: The BVG Agent Architecture
EPIA '99 Proceedings of the 9th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Intention Reconsideration Reconsidered
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Plan Analysis for Autonomous Sociological Agents
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
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
Analysing partner selection through exchange values
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Tax compliance in a simulated heterogeneous multi-agent society
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
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The BVG agent architecture relies on the use of values (multiple dimensions against which to evaluate a situation) to perform choice among a set of candidate goals. Choice is accomplished by using a calculus to collapse the several dimensions into a function that serialises candidates. In our previous experiments, we have faced decision problems only with perfect and complete information. In this paper we propose new experiments, where the agents will have to decide in the absence of all the needed and relevant information. In the BVG model, agents adjust their scale of values by feeding back evaluative information about the consequences of their decisions. We use the exact same measures to analyse the results of the experiments, thus providing a fair trial to the agents: they are judged with the same rules they can use for decision. Our method, based on values, is a novel approach for choice and an alternative to classical utilitarian theories.