activity
20112023
most citedHiding Individuals and Communities in a Social Network

209 citations · 595 across the 30 of their papers we have counts for

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6 papers · 1 filter

cs.AI2023★ 7 cited

Cognitive Effects in Large Language Models

Jonathan Shaki, Sarit Kraus, Michael Wooldridge

Large Language Models (LLMs) such as ChatGPT have received enormous attention over the past year and are now used by hundreds of millions of people every day. The rapid adoption of…

cs.AI2021★ 5 cited

Multiagent Model-based Credit Assignment for Continuous Control

Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak +1

Deep reinforcement learning (RL) has recently shown great promise in robotic continuous control tasks. Nevertheless, prior research in this vein center around the centralized learn…

cs.AI2021

Multi-Agent Reinforcement Learning with Temporal Logic Specifications

Lewis Hammond, Alessandro Abate, Julian Gutierrez +1

In this paper, we study the problem of learning to satisfy temporal logic specifications with a group of agents in an unknown environment, which may exhibit probabilistic behaviour…

cs.AI2017★ 7 cited

Game-theoretic Network Centrality: A Review

Mateusz K. Tarkowski, Tomasz P. Michalak, Talal Rahwan +1

Game-theoretic centrality is a flexible and sophisticated approach to identify the most important nodes in a network. It builds upon the methods from cooperative game theory and ne…

cs.AI2014★ 22 cited

Reasoning About the Transfer of Control

Wiebe van der Hoek, Dirk Walther, Michael Wooldridge

We present DCL-PC: a logic for reasoning about how the abilities of agents and coalitions of agents are altered by transferring control from one agent to another. The logical found…

cs.AI2011★ 77 cited

On the Formal Semantics of Speech-Act Based Communication in an Agent-Oriented Programming Language

R. H. Bordini, A. F. Moreira, R. Vieira +1

Research on agent communication languages has typically taken the speech acts paradigm as its starting point. Despite their manifest attractions, speech-act models of communication…