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Full Description
How can we provide guarantees of behaviours for autonomous systems such as driverless cars? This tutorial text, for professionals, researchers and graduate students, explains how autonomous systems, from intelligent robots to driverless cars, can be programmed in ways that make them amenable to formal verification. The authors review specific definitions, applications and the unique future potential of autonomous systems, along with their impact on safer decisions and ethical behaviour. Topics discussed include the use of rational cognitive agent programming from the Beliefs-Desires-Intentions paradigm to control autonomous systems and the role model-checking in verifying the properties of this decision-making component. Several case studies concerning both the verification of autonomous systems and extensions to the framework beyond the model-checking of agent decision-makers are included, along with complete tutorials for the use of the freely-available verifiable cognitive agent toolkit Gwendolen, written in Java.
Contents
1. Introduction; Part I. Foundations: 2. Autonomous systems architectures; 3. Agent decision maker; 4. Formal agent verification; 5. Verifying autonomous systems; 6. Agent-based autonomous system verification; Part II. Applications: 7. Multi-agent auctions; 8. Autonomous satellite control; 9. Certification of unmanned air systems; 10. Ethical decision making; Part III. Extensions: 11. Compositional verification - widening our view beyond the agent; 12. Runtime verification - recognising abstraction violations; 13. Utilising external model-checkers; Part IV. Concluding Remarks: 14. Verifiable autonomous systems; 15. The future; Appendix A. Gwendolen documentation; Appendix B. AIL toolkit documentation; Appendix C. AJPF documentation; Bibliography; Index.
