May 20, 2011 · In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimisation to generate ...
In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimisation to generate de-.
In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimization to generate ...
Dec 4, 2024 · In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimisation ...
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In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimisation to generate ...
It is argued that testing of autonomous agents requires a procedure that caters for a wide range of test case contexts, and that can search for the most ...
Background. • Testing is to find faults. • We focus on agent level. • We evaluate the exhibited performance of autonomous agents, not the underlying.
Intuitively, autonomous agents are hard to test. Their autonomy and their flexible, context-aware behaviour implies unpredictability, and their social ability ...
This paper proposes a methodology to derive objective (fitness) functions that drive evolutionary algorithms, and evaluates the overall approach with two ...
In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimization to generate ...