Dear all,
We will have our next LIRa session tomorrow, on Thursday, 30 November 16:30.
This will be a hybrid session. If you want to attend online, please use our recurring zoom link:
https://uva-live.zoom.us/j/89230639823?pwd=YWJuSnJmTDhXcWhmd1ZkeG5zb0o5UT09
(Meeting ID: 892 3063 9823, Passcode: 421723)
You can find the details of the talk below.
Speaker: Jakob Dirk Top (University of Groningen)
Date and Time: Thursday, November 30th 2023, 16:30-18:00
Venue: ILLC seminar room F1.15 in Science Park 107 and online
Title: Predictive Theory of Mind Models Based on Public Announcement Logic
Abstract. Epistemic logic can be used to reason about statements such
as ‘I know that you know that I know that φ’. In this logic, and
its extensions, it is commonly assumed that agents can reason about
epistemic statements of arbitrary nesting depth. In contrast,
empirical findings on Theory of Mind, the ability to (recursively)
reason about mental states of others, show that human recursive
reasoning capability has an upper bound.
In the present paper we work towards resolving this disparity by
proposing some elements of a logic of bounded Theory of Mind, built on
Public Announcement Logic. Using this logic, and a statistical method
called Random-Effects Bayesian Model Selection, we estimate the
distribution of Theory of Mind levels in the participant population of
a previous behavioral experiment. Despite not modeling stochastic
behavior, we find that approximately three-quarters of participants’
decisions can be described using Theory of Mind. In contrast to
previous empirical research, our models estimate the majority of
participants to be second-order Theory of Mind users.
The article was presented at DaLí 2023 and is available online at
https://dali2023.compute.dtu.dk/pre-proceedings/
Hope to see you there!
The LIRa team
Dear all,
We will have our next LIRa session on Thursday, 30 November 16:30.
This will be a hybrid session. If you want to attend online, please use our recurring zoom link:
https://uva-live.zoom.us/j/89230639823?pwd=YWJuSnJmTDhXcWhmd1ZkeG5zb0o5UT09
(Meeting ID: 892 3063 9823, Passcode: 421723)
You can find the details of the talk below.
Speaker: Jakob Dirk Top (University of Groningen)
Date and Time: Thursday, November 30th 2023, 16:30-18:00
Venue: ILLC seminar room F1.15 in Science Park 107 and online
Title: Predictive Theory of Mind Models Based on Public Announcement Logic
Abstract. Epistemic logic can be used to reason about statements such
as ‘I know that you know that I know that φ’. In this logic, and
its extensions, it is commonly assumed that agents can reason about
epistemic statements of arbitrary nesting depth. In contrast,
empirical findings on Theory of Mind, the ability to (recursively)
reason about mental states of others, show that human recursive
reasoning capability has an upper bound.
In the present paper we work towards resolving this disparity by
proposing some elements of a logic of bounded Theory of Mind, built on
Public Announcement Logic. Using this logic, and a statistical method
called Random-Effects Bayesian Model Selection, we estimate the
distribution of Theory of Mind levels in the participant population of
a previous behavioral experiment. Despite not modeling stochastic
behavior, we find that approximately three-quarters of participants’
decisions can be described using Theory of Mind. In contrast to
previous empirical research, our models estimate the majority of
participants to be second-order Theory of Mind users.
The article was presented at DaLí 2023 and is available online at
https://dali2023.compute.dtu.dk/pre-proceedings/
Hope to see you there!
The LIRa team
Dear all,
We will have our next LIRa session tomorrow, on Thursday, 16 November 16:30.
This will be a hybrid session. If you want to attend online, please use our recurring zoom link:
https://uva-live.zoom.us/j/89230639823?pwd=YWJuSnJmTDhXcWhmd1ZkeG5zb0o5UT09
(Meeting ID: 892 3063 9823, Passcode: 421723)
You can find the details of the talk below.
Speaker: Jan-Willem Romeijn (University of Groningen)
Date and Time: Thursday, November 16th 2023, 16:30-18:00
Venue: ILLC seminar room F1.15 in Science Park 107 and online
Title: *Reverse-engineering the model*
Abstract. Data-driven or "machine learning" prediction methods
generate predictions from data without explicitly stating their
modeling assumptions. In fact there are substantial obstacles to
bringing those assumptions out in the traditional format, because
machine learning methods mostly do not rely on explicit
representations of their target systems. In my talk I combine recent
machine learning research and insights from inductive logic and the
philosophy of statistics to provide a road-map for reverse-engineering
the models inherent to any prediction method. Next I will determine
whether and in what ways these implicit models represent their target,
drawing on ideas about randomness and nonlinear dynamics. My
preliminary conclusion is that the reverse-engineered models represent
only superficially, and that they make visible how our traditional
conception of models is ill-suited for a science of complex systems,
echoing Breiman's seminal paper on the two cultures of statistics.
Hope to see you there!
The LIRa team
Dear all,
We would like to draw your attention to the
***Annual VvL Seminar 2023***
The second edition of the (in-person) Annual VvL Seminar will be
organized by Utrecht University. The event is inspired by the
departmental logic seminars that are organized at each university, and
aims to unify the universities for a collaborative seminar. Besides
hosting a main speaker, the seminar will also be the location of the
award ceremony of the VvL MSc Thesis Prize winners, who will give a
short presentation of their thesis. The details of the event can be
found below, as well as on the VvL website
https://verenigingvoorlogica.nl/en/Activiteiten/VvL-Joint-Seminar/
*Main speaker*: Natasha Alechina
*MSc Thesis Prize winners*: Rodrigo Almeida (supervisors: Nick
Bezhanishvili and Tommaso Moraschini), Søren Brinck Knudstorp
(supervisors: Johan van Benthem and Nick Bezhanishvili), Raoul
Koudijs (supervisor: Balder ten Cate)
*Date & time*: December 8, 2023, 14:30-17:30
*Location*: The Sweelinckzaal at Drift 21, room 0.05, Utrecht. For
visitors from outside the UU, please go to the university library at
Drift 27 and proceed through the lobby to the back exit to reach the
other Drift buildings.
*Local organizers*: Colin Caret & Johannes Korbmacher
*PROGRAM*
14:30-14:40 Opening and Welcome Remarks
14:40-14:50 Brief Presentation on the work of the VvL
14:50-15:50 VvL lecture by Natasha Alechina
15:50-16:10 Coffee Break
16:10-16:20 Remarks by the VvL Master thesis awards committee
16:20-17:20 MSc Thesis Prize presentations (3x20mins)
17:20-17:30 Award Ceremony and Closing Remarks
*REGISTRATION*
There is no cost for attending the seminar, but to help with
organization, please register your attendance using the online form
linked below. An optional dinner will follow the event in the
Westerdijkkamer of the Academiegebouw (42 euros per person). If you
would like to join for dinner you may indicate this in the
registration form.
https://docs.google.com/forms/d/1_8knDUMzOASuNY8VYavLayDg8DZLKHoHzO7B0_3A1e…
Hope to see you there!
The LIRa team
Dear all,
We will have our next LIRa session on Thursday, 16 November 16:30.
This will be a hybrid session. If you want to attend online, please use our recurring zoom link:
https://uva-live.zoom.us/j/89230639823?pwd=YWJuSnJmTDhXcWhmd1ZkeG5zb0o5UT09
(Meeting ID: 892 3063 9823, Passcode: 421723)
You can find the details of the talk below.
Speaker: Jan-Willem Romeijn (University of Groningen)
Date and Time: Thursday, November 16th 2023, 16:30-18:00
Venue: ILLC seminar room F1.15 in Science Park 107 and online
Title: Reverse-engineering the model
Abstract. Data-driven or "machine learning" prediction methods
generate predictions from data without explicitly stating their
modeling assumptions. In fact there are substantial obstacles to
bringing those assumptions out in the traditional format, because
machine learning methods mostly do not rely on explicit
representations of their target systems. In my talk I combine recent
machine learning research and insights from inductive logic and the
philosophy of statistics to provide a road-map for reverse-engineering
the models inherent to any prediction method. Next I will determine
whether and in what ways these implicit models represent their target,
drawing on ideas about randomness and nonlinear dynamics. My
preliminary conclusion is that the reverse-engineered models represent
only superficially, and that they make visible how our traditional
conception of models is ill-suited for a science of complex systems,
echoing Breiman's seminal paper on the two cultures of statistics.
Hope to see you there!
The LIRa team
Dear all,
We will have our next LIRa session tomorrow, on Thursday, 9 November 16:30.
This will be a hybrid session. If you want to attend online, please use our recurring zoom link:
https://uva-live.zoom.us/j/89230639823?pwd=YWJuSnJmTDhXcWhmd1ZkeG5zb0o5UT09
(Meeting ID: 892 3063 9823, Passcode: 421723)
You can find the details of the talk below.
Speaker: Natasha Alechina (Utrecht University)
Date and Time: Thursday, November 9th 2023, 16:30-18:00
Venue: ILLC seminar room F1.15 in Science Park 107 and online
Title: Norms in multi-agent systems
Abstract. Norms have been widely proposed to coordinate and regulate
behaviour in multi-agent systems (MAS). I will briefly describe
logical approaches to verifying effects of introducing norms, and
concentrate on the problem of synthesising a set of norms which
ensures that MAS satisfies a design objective expressed in Alternating
Time Temporal Logic ATL*. I will focus on dynamic norms, that allow us
to place different constraints on the agents' behaviour depending on
the state of the norm automaton and the state of the underlying MAS.
The talk will be based on joint work with Giuseppe Perelli, Giuseppe
De Giacomo and Brian Logan published in KR 2022.
Hope to see you there!
The LIRa team
Dear all,
We will have our next LIRa session on Thursday, 9 November 16:30.
This will be a hybrid session. If you want to attend online, please use our recurring zoom link:
https://uva-live.zoom.us/j/89230639823?pwd=YWJuSnJmTDhXcWhmd1ZkeG5zb0o5UT09
(Meeting ID: 892 3063 9823, Passcode: 421723)
You can find the details of the talk below.
Speaker: Natasha Alechina (Utrecht University)
Date and Time: Thursday, November 9th 2023, 16:30-18:00
Venue: ILLC seminar room F1.15 in Science Park 107 and online
Title: Norms in multi-agent systems
Abstract. Norms have been widely proposed to coordinate and regulate
behaviour in multi-agent systems (MAS). I will briefly describe
logical approaches to verifying effects of introducing norms, and
concentrate on the problem of synthesising a set of norms which
ensures that MAS satisfies a design objective expressed in Alternating
Time Temporal Logic ATL*. I will focus on dynamic norms, that allow us
to place different constraints on the agents' behaviour depending on
the state of the norm automaton and the state of the underlying MAS.
The talk will be based on joint work with Giuseppe Perelli, Giuseppe
De Giacomo and Brian Logan published in KR 2022.
Hope to see you there!
The LIRa team