We invite you to contribute to a new special issue on the topic of Autonomous Agents Modelling Other Agents, to be published in the journal Artificial Intelligence.
Much research in artificial intelligence (AI) is concerned with enabling autonomous agents to model various aspects of other agents, such as their beliefs, intentions, plans, goals, and decision making. A recent survey on the topic, published in AIJ (https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.1016_j.artint.2018.01.002&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=7t1IxY-_dsjYiWViL19JEJ33TIfc5qSx44IhZgaJC2I&s=uIi8aT-AtuNLNuhCuodknjt2L6_CKbrOGvfBYFpFveU&e=), discusses the major modelling methods that have been developed in AI research and highlights open problems. The survey shows that this is a large area of research with a history going back several decades. However, it also shows that the area is fractured into many sub-communities with little interaction, including work in game playing, computer poker, automated negotiation, simulated robot soccer, human user modelling, human-robot interaction, commercial video games, trust and reputation, and multi-agent learning. The purpose of this special issue is to provide a venue for new technical contributions addressing open problems in this area of research (including those highlighted in !
the survey), as well as to complement the survey via research perspectives which may include historical accounts, a description of recent developments and applications, and personal views about current limitations and future directions.
The following is a non-exclusive list of topics relevant to the special issue:
Learning and using models of other agents' decision making processes
Opponent modelling in games
Methods for goal/intent/plan recognition
Theory of mind, recursive reasoning, epistemic planning
Implicit agent modelling
Modelling other agents under partial observability
Modelling teams/groups of agents
Teammate modelling for ad hoc teamwork
Robust decision making with agent models
Reasoning about utilities and preferences of other agents
Modelling other agents in open multi-agent systems
Modelling changing behaviours of other agents
Safe exploration of agent model spaces
Misspecified agent models and model revision
Graphical representations of agent models
Innovative applications of agents modelling other agents
Historical accounts, current limitations, and future directions of agent modelling