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Specification, Verification, and Synthesis of Autonomous Adaptive Agents

Specification, Verification, and Synthesis of Autonomous Adaptive Agents
自主自适应代理的规范、验证和综合
批准号:
RGPIN-2015-03756
负责人:
Lesperance, Yves
金额:
$1.75万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

项目摘要

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中文摘要
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英文摘要
The project focuses on the development of languages, algorithms, and tools for verifying and synthesizing agents and multiagent systems that satisfy given specifications. Verification is important because multiagent systems often have emergent properties that are hard to predict and clients want guarantees before they will trust such systems. Agents are often used to implement adaptive systems that can monitor and repair themselves. They are difficult to design and debug by hand. Automated synthesis techniques can be used to support configuration and adaptation. The focus is not primarily on planning, where one synthesizes a plan to achieve a goal from a set of primitive actions. Instead, we consider problems such as customization/supervision, where we already have an agent or system and we want to constrain its behaviour to meet a set of specifications, and composition/orchestration, where we have a set of available agents and we want to compose them to obtain a new system that meets satisfies some temporally extended goal. A major advance in our recent work has been the identification of an important class of action theories for which verification of temporal properties is decidable. In the project, we will further develop this bounded action theories framework to accomodate more realistic models of agents. We will also develop techniques and tools for doing verification and synthesis for such bounded theories. We will apply these methods to agent supervision, a form of customization where the agent's behaviour is constrained to satisfy a specification. Since some actions may be uncontrollable, it may not be possible to restrict the agent to perform exactly the set of action sequences that satisfy the specification. Our approach finds the maximally permissive supervisor that gives as much flexibility/autonomy to the agent as possible while ensuring that it complies with the specification. In the project, we will generalize our agent supervision framework to handle complex hierarchical/modular systems. We will also continue our work on fixpoint approximation techniques for agent verification and synthesis. These techniques are incomplete, but can be used on general infinite state systems.
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Using Abstraction in Reasoning about Autonomous Agents and Multiagent Systems
  • 批准号:
    RGPIN-2022-04565
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2022
  • 负责人:
    Lesperance, Yves
  • 依托单位:
Specification, Verification, and Synthesis of Autonomous Adaptive Agents
  • 批准号:
    RGPIN-2015-03756
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2021
  • 负责人:
    Lesperance, Yves
  • 依托单位:
Specification, Verification, and Synthesis of Autonomous Adaptive Agents
  • 批准号:
    RGPIN-2015-03756
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2019
  • 负责人:
    Lesperance, Yves
  • 依托单位:
Specification, Verification, and Synthesis of Autonomous Adaptive Agents
  • 批准号:
    RGPIN-2015-03756
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2018
  • 负责人:
    Lesperance, Yves
  • 依托单位:
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