LEADER 07268nam 2200481 450 001 996503466603316 005 20231110221246.0 010 $a3-031-21671-7 035 $a(MiAaPQ)EBC7165967 035 $a(Au-PeEL)EBL7165967 035 $a(CKB)25913963200041 035 $a(PPN)267813120 035 $a(EXLCZ)9925913963200041 100 $a20230504d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational theory of mind for human-machine teams $efirst international symposium, ToM for teams 2021, virtual event, November 4-6, 2021, revised selected Papers /$fedited by Nikolos Gurney and Gita Sukthankar 210 1$aCham, Switzerland :$cSpringer Nature Switzerland AG,$d[2022] 210 4$dİ2022 215 $a1 online resource (235 pages) 225 1 $aLecture Notes in Computer Science ;$vv.13775 311 08$aPrint version: Gurney, Nikolos Computational Theory of Mind for Human-Machine Teams Cham : Springer,c2023 9783031216701 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Contents -- Theory of Mind -- Operationalizing Theories of Theory of Mind: A Survey -- 1 Introduction -- 2 PsychSim -- 3 Theories About Theory of Mind -- 3.1 Theory-Theory -- 3.2 Simulation Theory -- 3.3 First-Person ToM and Introspection -- 3.4 Social Cognition Without ToM -- 4 Modeling Theory of Mind -- 4.1 Bayesian Inference -- 4.2 Game Theory and Economics -- 4.3 Reinforcement Learning -- 5 Discussion -- 6 Conclusion -- References -- Knowledge of Self and Other Within a Broader Commonsense Setting -- 1 Introduction -- 2 Informal Example -- 3 Related Work -- 4 Active Logic -- 5 Toward a Formal Approach -- 6 Formalism Using Quotation -- 7 Agent Reasoning for the Informal Example -- 8 Conclusion -- References -- Constructivist Approaches for Computational Emotions: A Systematic Survey -- 1 Introduction -- 2 Computational Models of Emotion -- 2.1 Basic Emotion -- 2.2 Dimensional Emotion -- 2.3 Constructed Emotion -- 3 Systematic Survey -- 3.1 Description -- 3.2 Methodology -- 4 Discussion -- 5 Conclusion -- References -- Methodological Advances -- Social Cognition Paradigms ex Machinas -- 1 Introduction -- 2 Background: Populations of Interest -- 2.1 Typical Child Development -- 2.2 Atypical Child Development -- 2.3 Non-human Animals -- 2.4 Artificial Agents -- 3 Review of ToM Tasks -- 4 Translating Real-World Tasks into AI Tasks -- 4.1 Desiderata -- 4.2 Passive Observers and Active Participants -- 4.3 Precursor Knowledge -- 4.4 Implementation -- 4.5 Task Selection -- 4.6 Detailed Example: Competitive Feeding -- 5 Discussion: Challenges and Promise -- 6 Conclusion -- References -- Evaluating Artificial Social Intelligence in an Urban Search and Rescue Task Environment -- 1 Introduction -- 2 Method -- 2.1 Experiment Design and Task Environment -- 2.2 Participants -- 2.3 Procedure. 327 $a2.4 Data, Metrics, and Measures -- 3 Artificial Social Intelligence -- 4 Findings -- 5 Conclusions -- References -- Modular Procedural Generation for Voxel Maps -- 1 Introduction -- 2 PCG for AI Research -- 2.1 Parametric Generation -- 2.2 Controlling the Statistics of Generated Scenes -- 2.3 Changing the World in Response to Player Action -- 2.4 Task Environments as Code -- 3 Decoupled PCG for Rapid Iteration -- 4 Connection to Human Spatial Cognition -- 5 Approach -- 5.1 Core Classes -- 6 Applications -- 6.1 Non-agents -- 6.2 Agents -- 7 Tutorial -- 7.1 World Setup -- 7.2 Creating a Room -- 7.3 Adding Details -- 7.4 Multiple Rooms -- 8 Conclusion -- 8.1 Limitations -- 8.2 Future Work -- References -- Task Complexity and Performance in Individuals and Groups Without Communication -- 1 Introduction -- 2 The Minimap Task -- 3 IBL Models -- 3.1 IBL Agent for the Minimap Task -- 3.2 IBL Models for Group Behaviour -- 4 Experiment -- 5 Results -- 5.1 Humans and Individual IBL Agents -- 5.2 Group Performance -- 5.3 Individual Performance Within Groups -- 6 Conclusion -- References -- Development of Emergent Leadership Measurement: Implications for Human-Machine Teams -- 1 Emergent Leadership in Teams -- 1.1 The Functions of Leadership -- 1.2 Implications of Emergent Leadership for Human-Machine Teams -- 1.3 Measuring Emergent Leadership -- 2 Methodology -- 2.1 Participants -- 2.2 Procedures -- 2.3 Measures -- 3 Results -- 3.1 Peer-Report Emergent Leadership -- 3.2 Behavioral Markers of Emergent Leadership -- 4 Discussion -- 4.1 Key Findings and Implications -- 4.2 Future Directions -- Appendix -- References -- Translating and Modeling Human Theory of Mind for ASI -- Should Agents Have Two Systems to Track Beliefs and Belief-Like States? -- 1 Introduction -- 2 Automatic and Effortful ToM in Agents -- 3 Analogical Theory of Mind (AToM) Model. 327 $a3.1 Analogical Theory of Mind -- 3.2 Automatic Encoding and Effortful Re-Representation for AToM -- 4 Implications for Human-Machine Teams -- 5 Conclusion -- References -- Sequential Theory of Mind Modeling in Team Search and Rescue Tasks -- 1 Human ToM Inference -- 2 Computational ToM Models -- 3 Decision Points -- 4 Simulated Search and Rescue Task -- 4.1 Task Scenario -- 4.2 Team Roles -- 4.3 Information Asymmetry -- 4.4 Data Set -- 5 Team Communication Model -- 5.1 Model Structure -- 5.2 Training Details -- 5.3 Experimental Results -- 6 Dynamic Belief Model -- 6.1 Data Processing -- 6.2 Model Structure and Experimental Results -- 7 Human Observation Experiments -- 7.1 Materials -- 7.2 Procedure -- 7.3 Results -- 8 Discussion -- References -- Integrating Machine Learning and Cognitive Modeling of Decision Making -- 1 Introduction -- 2 Multi-attribute Linear Ballistic Accumulator (MLBA) -- 3 Context Effects -- 4 Related Work -- 5 Learning Task Formulation -- 6 Pure ML Baseline -- 7 ML-MLBA Hybrids -- 8 Parameter Estimation -- 9 Experiment Design -- 10 Conclusion and Future Work -- References -- Overgenerality from Inference in Perspective-Taking -- 1 Introduction -- 2 Method -- 3 Results and Analysis -- 4 Conclusions and Discussion -- References -- Tools for Improving ASI -- Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Domain and Task -- 3.2 Representation -- 3.3 Model -- 3.4 Architecture -- 4 Evaluation -- 5 Conclusion -- References -- Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent -- 1 Introduction -- 2 Background -- 3 DARPA ASIST Minecraft SAR Task -- 4 Solution Approach -- 4.1 Solution Pipeline -- 4.2 Exploratory Results -- 5 Discussions and Future Work -- 6 Conclusions -- References. 327 $aAuthor Index. 410 0$aLecture Notes in Computer Science 606 $aArtificial intelligence$vCongresses 615 0$aArtificial intelligence 676 $a006.3 702 $aGurney$b Nikolos 702 $aSukthankar$b Gita 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996503466603316 996 $aComputational theory of mind for human-machine teams$93363597 997 $aUNISA