Autonomous driving planning and decision making based on game theory and reinforcement learning
W Duan, Z Tang, W Liu, H Zhou - Expert Systems, 2023 - Wiley Online Library
Autonomous driving technology is one of the important methods that avoid the hidden
dangers of traffic safety. Although the existing autonomous driving technology can meet …
dangers of traffic safety. Although the existing autonomous driving technology can meet …
[HTML][HTML] Choice logics and their computational properties
M Bernreiter, J Maly, S Woltran - Artificial Intelligence, 2022 - Elsevier
Abstract Qualitative Choice Logic (QCL) and Conjunctive Choice Logic (CCL) are
formalisms for preference handling, with especially QCL being well established in the field of …
formalisms for preference handling, with especially QCL being well established in the field of …
Epistemic GDL: A logic for representing and reasoning about imperfect information games
This paper proposes a logical framework for representing and reasoning about imperfect
information games. We first extend the game description language (GDL) with the standard …
information games. We first extend the game description language (GDL) with the standard …
Representing and reasoning about auctions
M Mittelmann, S Bouveret, L Perrussel - Autonomous Agents and Multi …, 2022 - Springer
The goal of this paper is to propose a framework for representing and reasoning about the
rules of auction-based protocols. Such a framework is of interest for building digital …
rules of auction-based protocols. Such a framework is of interest for building digital …
[PDF][PDF] Strategy Representation and Reasoning for Incomplete Information Concurrent Games in the Situation Calculus.
Strategy representation and reasoning for incomplete information concurrent games has
recently received much attention in multi-agent system and AI communities. However, most …
recently received much attention in multi-agent system and AI communities. However, most …
Representing strategies
H Duijf, J Broersen - arXiv preprint arXiv:1607.03355, 2016 - arxiv.org
Quite some work in the ATL-tradition uses the differences between various types of
strategies (positional, uniform, perfect recall) to give alternative semantics to the same …
strategies (positional, uniform, perfect recall) to give alternative semantics to the same …
Auction description language (ADL): General framework for representing auction-based markets
M Mittelmann, L Perrussel - ECAI 2020, 2020 - ebooks.iospress.nl
The goal of this paper is to propose a language for representing and reasoning about the
rules governing an auction-based market. Such language is at first interest as long as we …
rules governing an auction-based market. Such language is at first interest as long as we …
Game equivalence and bisimulation for game description language
This paper investigates the equivalence between games represented by state transition
models and its applications. We first define a notion of bisimulation equivalence between …
models and its applications. We first define a notion of bisimulation equivalence between …
[PDF][PDF] Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers.
Strategy representation and reasoning has recently received much attention in artificial
intelligence. Impartial combinatorial games (ICGs) are a type of elementary and fundamental …
intelligence. Impartial combinatorial games (ICGs) are a type of elementary and fundamental …
Using egdl to represent domain knowledge for imperfect information automated negotiations
Y Lv, J Zhu, Y Jiang - Journal of Ambient Intelligence and Humanized …, 2022 - Springer
The current work has limitations in using GDL to represent domain knowledge for Automated
Negotiations, which does not support imperfect information games in negotiation scenarios …
Negotiations, which does not support imperfect information games in negotiation scenarios …