## A DECISION-THEORETIC MODEL OF COORDINATION AND COMMUNICATION IN AUTONOMOUS SYSTEMS (REASONING SYSTEMS).cases in which the agent is interacting with other agents, the calculation of the expected utility includes the anticipated actions of others. An agent predicts the actions of the other agents using the assumption that they also are rational. The fact that they may be using the same assumption about the original agent leads to a recursive nesting of beliefs. The formalism that expresses this recursion is called the Recursive Modeling Method (RMM), which can be shown to converge on the best choice of |

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### Contents

Overview of Rational Reasoning System | 11 |

DT The Recursive Modeling Method | 28 |

Communication Between Rational Agents | 52 |

Copyright | |

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### Common terms and phrases

AC AC action agent l's Agent-2-hat algorithm approach assume assumption attack at dawn attributes of concern autonomous agent autonomous system behavior believe Ml chapter choice choose communication channel complexity computation cooperation cost decision theory decision-theoretic depicted in Figure described distribution over R2's domains environment Equation estimates example scenario expected utility fire extinguishers Firel formal game theory heuristic hierarchical planning Hierarchy Before Communication Hierarchy of Rl intentional messages intentional probability distribution intuitive issues knowledge and belief metagame metareasoning modal logic modeling messages multiagent interactions number of agents payoff matrix personal recursive Kripke Plan4 planning routines player possible worlds preference hierarchy Prisoner's Dilemma problem propositional attitudes pursue G2 R2 B not-B R2 Gl G2 R2's options RadSpilll reasoning Recursive Hierarchy recursive Kripke structure recursive levels Recursive Modeling Method rigorous Rl's best option Rl's knowledge Rl's payoffs robot strategy thesis transmitting M2 urgency functions world model