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Autonomous Agents and Multiagent Systems [[electronic resource] ] : AAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar
| Autonomous Agents and Multiagent Systems [[electronic resource] ] : AAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 245 p. 70 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
User interfaces (Computer systems) Application software Special purpose computers Computer communication systems Artificial Intelligence User Interfaces and Human Computer Interaction Information Systems Applications (incl. Internet) Special Purpose and Application-Based Systems Computer Communication Networks |
| ISBN | 3-319-71679-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Competitive Belief Propagation to efficiently solve Complex Multi-Agent Negotiations with Network Structure -- Stable Configurations with (Meta) Punishing Agents -- KILT: a modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders -- Vote Buying Through Decoy Ballots -- Efficient evaluation of influenza mitigation strategies using preventive bandits -- Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning -- Budget Limited Trust-Aware Decision Making.-Max-sum Revisited; The Real Power of Damping -- A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs -- Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents -- A MaxSAT-Based Approach to the Team Composition Problem in a Classroom -- Heuristic Data Merging for Constructing Initial Agent Populations -- Norm Conflict Identification using Deep Learning -- Identifying affordances for modelling second order emergent phenomena with the WIT framework -- A Personal Medical Digital Assistant Agent for Supporting Human Operators in Emergency Scenarios. |
| Record Nr. | UNISA-996466428103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Autonomous Agents and Multiagent Systems [[electronic resource] ] : AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar
| Autonomous Agents and Multiagent Systems [[electronic resource] ] : AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 297 p. 73 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer organization Data structures (Computer science) Computers E-commerce Computer science—Mathematics Artificial Intelligence Computer Systems Organization and Communication Networks Data Structures and Information Theory Theory of Computation e-Commerce/e-business Discrete Mathematics in Computer Science |
| ISBN | 3-319-71682-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Elastic and Load-spike Proof One-to-many Negotiation to Improve The Service Acceptability of an Open SaaS Provider -- Opponent Modeling with Information Adaptation (OMIA) in Automated Negotiations -- Uncertainty Assessment in Agent-Based Simulation: An Exploratory Study -- Developing multi-agent-based thought experiments: a case study on the evolution of gamete dimorphism.-Cooperative Multi-Agent Control Using Deep Reinforcement Learning -- Stereotype Reputation with Limited Observability -- Working Together: Committee Selection and the Supermodular Degree -- On the Deployment of Factor Graph Elements to Operate Max-Sum in Dynamic Ambient Environments -- Optimizing Peer Teaching to Enhance Team Performance -- A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections -- Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges.-Convention Emergence in Partially Observable Topologies.-Reasoning about Opportunistic Propensity in Multi-agent Systems -- Approaching Interactions in Agent-Based Modelling with an Affordance Perspective.-Towards a fast detection of opponents in repeated stochastic game -- Event Calculus agent minds applied to diabetes monitoring -- Multiple-Profile Prediction-of-Use Games. . |
| Record Nr. | UNISA-996466427203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Autonomous Agents and Multiagent Systems : AAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar
| Autonomous Agents and Multiagent Systems : AAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 245 p. 70 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
User interfaces (Computer systems) Application software Special purpose computers Computer communication systems Artificial Intelligence User Interfaces and Human Computer Interaction Information Systems Applications (incl. Internet) Special Purpose and Application-Based Systems Computer Communication Networks |
| ISBN | 3-319-71679-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Competitive Belief Propagation to efficiently solve Complex Multi-Agent Negotiations with Network Structure -- Stable Configurations with (Meta) Punishing Agents -- KILT: a modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders -- Vote Buying Through Decoy Ballots -- Efficient evaluation of influenza mitigation strategies using preventive bandits -- Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning -- Budget Limited Trust-Aware Decision Making.-Max-sum Revisited; The Real Power of Damping -- A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs -- Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents -- A MaxSAT-Based Approach to the Team Composition Problem in a Classroom -- Heuristic Data Merging for Constructing Initial Agent Populations -- Norm Conflict Identification using Deep Learning -- Identifying affordances for modelling second order emergent phenomena with the WIT framework -- A Personal Medical Digital Assistant Agent for Supporting Human Operators in Emergency Scenarios. |
| Record Nr. | UNINA-9910484278503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Autonomous Agents and Multiagent Systems : AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar
| Autonomous Agents and Multiagent Systems : AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers / / edited by Gita Sukthankar, Juan A. Rodriguez-Aguilar |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 297 p. 73 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer organization Data structures (Computer science) Computers E-commerce Computer science—Mathematics Artificial Intelligence Computer Systems Organization and Communication Networks Data Structures and Information Theory Theory of Computation e-Commerce/e-business Discrete Mathematics in Computer Science |
| ISBN | 3-319-71682-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Elastic and Load-spike Proof One-to-many Negotiation to Improve The Service Acceptability of an Open SaaS Provider -- Opponent Modeling with Information Adaptation (OMIA) in Automated Negotiations -- Uncertainty Assessment in Agent-Based Simulation: An Exploratory Study -- Developing multi-agent-based thought experiments: a case study on the evolution of gamete dimorphism.-Cooperative Multi-Agent Control Using Deep Reinforcement Learning -- Stereotype Reputation with Limited Observability -- Working Together: Committee Selection and the Supermodular Degree -- On the Deployment of Factor Graph Elements to Operate Max-Sum in Dynamic Ambient Environments -- Optimizing Peer Teaching to Enhance Team Performance -- A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections -- Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges.-Convention Emergence in Partially Observable Topologies.-Reasoning about Opportunistic Propensity in Multi-agent Systems -- Approaching Interactions in Agent-Based Modelling with an Affordance Perspective.-Towards a fast detection of opponents in repeated stochastic game -- Event Calculus agent minds applied to diabetes monitoring -- Multiple-Profile Prediction-of-Use Games. . |
| Record Nr. | UNINA-9910484839303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational theory of mind for human-machine teams : first international symposium, ToM for teams 2021, virtual event, November 4-6, 2021, revised selected Papers / / edited by Nikolos Gurney and Gita Sukthankar
| Computational theory of mind for human-machine teams : first international symposium, ToM for teams 2021, virtual event, November 4-6, 2021, revised selected Papers / / edited by Nikolos Gurney and Gita Sukthankar |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-031-21671-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- 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.
2.4 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. 3.1 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. Author Index. |
| Record Nr. | UNINA-9910637701803321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational theory of mind for human-machine teams : first international symposium, ToM for teams 2021, virtual event, November 4-6, 2021, revised selected Papers / / edited by Nikolos Gurney and Gita Sukthankar
| Computational theory of mind for human-machine teams : first international symposium, ToM for teams 2021, virtual event, November 4-6, 2021, revised selected Papers / / edited by Nikolos Gurney and Gita Sukthankar |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-031-21671-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- 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.
2.4 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. 3.1 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. Author Index. |
| Record Nr. | UNISA-996503466603316 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Plan, activity, and intent recognition : theory and practice / / edited by Gita Sukthankar [and four others]
| Plan, activity, and intent recognition : theory and practice / / edited by Gita Sukthankar [and four others] |
| Autore | Sukthankar Gita |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam : , : Elsevier, , [2014] |
| Descrizione fisica | 1 online resource (423 p.) |
| Disciplina | 006.3 |
| Soggetto topico |
Human activity recognition
Artificial intelligence Pattern perception Intention |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-12-401710-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | part 1. Plan and goal recognition -- part 2. Activity discovery and recognition -- part 3. Modeling human cognition -- part 4. Multiagent systems -- part 5. Applications. |
| Record Nr. | UNISA-996426342103316 |
Sukthankar Gita
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| Amsterdam : , : Elsevier, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||