November 2, 2020 Conference paper Open Access

Prasetya, Wishnu; Dastani, Mehdi

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    <subfield code="a">automated game testing</subfield>
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    <subfield code="d">9-13 May, 2020</subfield>
    <subfield code="g">AAMAS</subfield>
    <subfield code="a">International Conference on Autonomous Agents and Multiagent Systems</subfield>
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    <subfield code="a">Prasetya, Wishnu</subfield>
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    <subfield code="a">Aplib: An Agent Programming Library for Testing Games</subfield>
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    <subfield code="a">&lt;p&gt;Testing modern computer games is notoriously hard. Highly dynamic behavior, inherent non-determinism, and fine grained inter&amp;nbsp;activity blow up their state space; too large for traditional auto- mated testing techniques. An agent-based testing approach offers an alternative as agents&amp;rsquo; goal driven planning, adaptivity, and reasoning ability can provide an extra edge. This paper provides a summary of aplib, a Java library for programming intelligent test agents, featuring tactical programming as an abstract way to exert control on agents&amp;rsquo; underlying reasoning based behavior. Aplib is implemented in such a way to provide the fluency of a Domain Specific Language (DSL) while still staying in Java, and hence aplib programmers will keep all the advantages that Java programmers get: rich language features and a whole array of development tools.&lt;/p&gt;</subfield>
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