Postdoc position in formal verification of multi-agent systems

Vadim Malvone via clean-list <[email protected]> Mon, 17 Feb 2025 12:30:29 +0100
Newsgroups gmane.comp.lang.clean,gmane.comp.lang.caml.inria,gmane.comp.lang.erlang.general,gmane.comp.mathematics.hol
Message-ID <[email protected]>
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*Study the impact of natural strategies in decision problems*

Keywords: Formal Verification, Model Checking for Multi-Agent Systems,=20
Game Theory

Description

Game theory plays a crucial role in AI by providing a mathematical=20
framework for reasoning about reactive systems, which are defined by=20
interactions between multiple entities, or players. It has found=20
significant applications across various fields, including economics,=20
biology, and computer science. An important application of game theory=20
in computer science and, more recently, in AI, concerns formal-system=20
verification. Model checking, introduced in the late 1970s, uses game=20
theory to verify the behavior of systems against formal specifications.=20
While initial applications focused on closed systems, which are entirely=20
determined by their internal states, most systems in practice are open,=20
involving ongoing interactions. This led to the extension of model=20
checking to Multi-Agent Systems, using logics like Alternating-time=20
Temporal Logic and Strategy Logic to account for strategic reasoning.

Another decision problem in verification is synthesis, the process of=20
creating a system that meets its specifications across various=20
environments, particularly those involving rational agents. Rational=20
synthesis, introduced in the 1990s, addresses this by ensuring that a=20
system's behavior aligns with specified objectives across different=20
agent interactions. However, decision problems in MAS verification can=20
range from polynomial to undecidable, with complexity heavily influenced=20
by the type of strategy used (memoryless vs. memoryful). Memoryless=20
strategies are computationally efficient but less expressive, while=20
memoryful strategies are more powerful but more complex. To address=20
these issues, bounded approaches like natural strategies, which consider=20
simpler strategies in line with bounded rationality, have been introduced.

Goals

The aim of this project is divided into two main steps:
 =C2=A0=C2=A0=C2=A0 - Study decision problems for natural strategies and an=
alyze their=20
computational complexity.
 =C2=A0=C2=A0=C2=A0 - Develop a tool capable of providing answers to decisi=
on problems=20
on natural strategies.

Profile and skills required

- PhD in computer science, mathematics, or related fields.
- Strong computer science and/or mathematical background (with=20
particular attention on formal methods and logic).
- Good programming skills.
- Good level in written and spoken English.

How to apply
If you are interested you can apply via:=20
https://eur01.safelinks.protection.outlook.com/?url=3Dhttps%3A%2F%2Finstitu=
tminestelecom.recruitee.com%2Fl%2Fen%2Fo%2Fpost-doctorante-ou-post-doctoran=
t-en-verification-de-systemes-multi-agents&data=3D05%7C02%7Cclean-list%40sc=
ience.ru.nl%7C2398f634cd1a49e3ad1508dd4f468088%7C084578d9400d4a5aa7c7e76ca4=
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rved=3D0

Other information
Application deadline: 31/03/2025
Job type: 18 months fixed-term contract in the ANR NOGGINS project
Job description: https://eur01.safelinks.protection.outlook.com/?url=3Dhttp=
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Scientific contact person: Vadim Malvone ([email protected])

--=20

*Vadim MALVONE*
Associate Professor, HDR

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    <p><b>Study the impact of natural strategies in decision problems</b><b=
r>
      <br>
      Keywords: Formal Verification, Model Checking for Multi-Agent
      Systems, Game Theory<br>
      <br>
      Description<br>
      <br>
      Game theory plays a crucial role in AI by providing a mathematical
      framework for reasoning about reactive systems, which are defined
      by interactions between multiple entities, or players. It has
      found significant applications across various fields, including
      economics, biology, and computer science. An important application
      of game theory in computer science and, more recently, in AI,
      concerns formal-system verification. Model checking, introduced in
      the late 1970s, uses game theory to verify the behavior of systems
      against formal specifications. While initial applications focused
      on closed systems, which are entirely determined by their internal
      states, most systems in practice are open, involving ongoing
      interactions. This led to the extension of model checking to
      Multi-Agent Systems, using logics like Alternating-time Temporal
      Logic and Strategy Logic to account for strategic reasoning.<br>
      <br>
      Another decision problem in verification is synthesis, the process
      of creating a system that meets its specifications across various
      environments, particularly those involving rational agents.
      Rational synthesis, introduced in the 1990s, addresses this by
      ensuring that a system's behavior aligns with specified objectives
      across different agent interactions. However, decision problems in
      MAS verification can range from polynomial to undecidable, with
      complexity heavily influenced by the type of strategy used
      (memoryless vs. memoryful). Memoryless strategies are
      computationally efficient but less expressive, while memoryful
      strategies are more powerful but more complex. To address these
      issues, bounded approaches like natural strategies, which consider
      simpler strategies in line with bounded rationality, have been
      introduced.<br>
      <br>
      Goals<br>
      <br>
      The aim of this project is divided into two main steps:<br>
      =C2=A0=C2=A0=C2=A0 - Study decision problems for natural strategies a=
nd analyze
      their computational complexity.<br>
      =C2=A0=C2=A0=C2=A0 - Develop a tool capable of providing answers to d=
ecision
      problems on natural strategies.<br>
      <br>
      Profile and skills required<br>
      <br>
      - PhD in computer science, mathematics, or related fields.<br>
      - Strong computer science and/or mathematical background (with
      particular attention on formal methods and logic).<br>
      - Good programming skills.<br>
      - Good level in written and spoken English.<br>
      <br>
      How to apply<br>
      If you are interested you can apply via:
      <a class=3D"moz-txt-link-freetext"
href=3D"https://eur01.safelinks.protection.outlook.com/?url=3Dhttps%3A%2F%2=
Finstitutminestelecom.recruitee.com%2Fl%2Fen%2Fo%2Fpost-doctorante-ou-post-=
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ecruitee.com/l/en/o/post-doctorante-ou-post-doctorant-en-verification-de-sy=
stemes-multi-agents" shash=3D"t3yNSAu0LRbrW2kx8Wu37StkHN//UdF2OvZHFgKVguvEO=
3rvfsgg8Dg4S0QDrSOFGbQ8BovrmSTBSc5sK2pfFzVruQ+HExOmb8GZZ7g6OvFqcgBdzn9/Q2pc=
GM2PQTeHyw4gUhcMagnT4JWSMtiKd/lIRhhpwTCZlhnWHEzFaq4=3D">https://institutmin=
estelecom.recruitee.com/l/en/o/post-doctorante-ou-post-doctorant-en-verific=
ation-de-systemes-multi-agents</a><br>
      <br>
      Other information<br>
      Application deadline: 31/03/2025<br>
      Job type: 18 months fixed-term contract in the ANR NOGGINS project<br=
>
      Job description: <a class=3D"moz-txt-link-freetext"
        href=3D"https://eur01.safelinks.protection.outlook.com/?url=3Dhttps=
%3A%2F%2Fpartage.imt.fr%2Findex.php%2Fs%2F69zC4zs8PAt5ZNk&amp;data=3D05%7C0=
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13U5W92XkZsdC9Wy/zH7YgGJRxB/CyPX9gQU7xGeUu6iR6ItrkZfHsBvfNxH53g=3D">https:/=
/partage.imt.fr/index.php/s/69zC4zs8PAt5ZNk</a><br>
      Scientific contact person: Vadim Malvone (<a
        class=3D"moz-txt-link-abbreviated moz-txt-link-freetext"
        href=3D"mailto:[email protected]">vadim.malvone@teleco=
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    </p>
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                    <td class=3D"footer__main__signature" align=3D"left"
style=3D"align: left; color: #000000; font-size: 14px;"><strong>Vadim
                        MALVONE</strong><br>
                      Associate Professor, HDR<br>
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