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Novel Insights in Agent-based Complex Automated Negotiation / / edited by Ivan Marsa-Maestre, Miguel A. Lopez-Carmona, Takayuki Ito, Minjie Zhang, Quan Bai, Katsuhide Fujita
| Novel Insights in Agent-based Complex Automated Negotiation / / edited by Ivan Marsa-Maestre, Miguel A. Lopez-Carmona, Takayuki Ito, Minjie Zhang, Quan Bai, Katsuhide Fujita |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Tokyo : , : Springer Japan : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (X, 204 p. 50 illus., 15 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Economic theory Computational complexity Computational Intelligence Artificial Intelligence Economic Theory/Quantitative Economics/Mathematical Methods Complexity |
| ISBN | 4-431-54758-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intra-Team Strategies for Teams Negotiating Against Competitor, Matchers and Conceders -- Alternative Social Welfare Definitions for Multiparty Negotiation Protocols -- Multilateral Mediated Negotiation Protocols with Feedback -- Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies -- A Dynamic, Optimal Approach for Multi-Issue Negotiation under Time Constraints -- On Dynamic Negotiation Strategy for Concurrent Negotiation over Distinct Objects -- Reducing The Complexity of Negotiations Over Interdependent Issues -- Evaluation of the Reputation Network Using Realistic Distance Between Facebook Data -- An Overview of the Results and Insights from The Third Automated Negotiating Agents Competition (ANAC2012) -- An Adaptive Negotiation Strategy for Real-time Bilateral Negotiations -- CUHK Agent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items -- Agent MR: Concession Strategy Based on Heuristic for Automated Negotiating Agents -- OMAC: A Discrete Wavelet Transformation based Negotiation Agent -- The Simple-Meta Agent. |
| Record Nr. | UNINA-9910299715003321 |
| Tokyo : , : Springer Japan : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, IvaÌn MarsaÌ Maestre (editors)
| PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, IvaÌn MarsaÌ Maestre (editors) |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIII, 430 p. 124 illus., 101 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Multiagent systems |
| ISBN | 3-030-69322-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Implementation of Real Data for Financial Market Simulation using Clustering, Deep Learning, and Artificial Financial Market -- Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment -- A Socio-Psychological Approach To Simulate Trust and Reputation in Modal Choices -- Reasoning about Trustworthiness in Cyber-Physical Systems Using Ontology-Based Representation and ASP -- Optimal Deterministic Time-based Policy in Automated Negotiation -- Agent Simulation of Collision Avoidance based on Meta-Strategy Model -- The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach -- Distance-based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents -- Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning -- Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-Agent Deep Q-Learning -- Policy Adaptive Multi-Agent Deep Deterministic Policy Gradient -- Multi-Agent Planning with High-Level Human Guidance -- Preference Elicitation in Assumption-Based Argumentation -- Declarative Preferences in Reactive BDI Agents -- Predicting the Priority of Social Situations for Personal Assistant Agents -- Mutex Propagation for SAT-based Multi-Agent Path Finding -- A SMT-based Implementation for Safety Checking of Parameterized Multi-Agent Systems -- A Goal-Based Framework For Supporting Medical Assistance: The Case of Chronic Diseases -- Optimal Control of Pedestrian Flows by Congestion Forecasts Satisfying User Equilibrium Conditions -- Automated Negotiation Mechanism and Strategy for Compensational Vehicular Platooning -- A Cognitive Agent Framework in Information Retrieval: Using User Beliefs to Customize Results -- Deep Reinforcement Learning for Pedestrian Guidance -- NegMAS: A platform for automated negotiations -- Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets -- Construct an Artificial Population with Urban and Rural Population Differences Considered: to support long-term care system evaluation by agent-based simulation -- Multi-Agent Path Finding with Destination Choice -- Abductive Design of BDI Agent-based Digital Twins of Organizations -- Beliefs, Time and Space: A Language for the Ykai Board Game -- Argumentation-based Explanations of Multimorbidity Treatment Plans -- The Persistence of False Memory: Brain in a Vat despite Perfect Clocks -- Box-Office Prediction Based on Essential Features Extracted from Agent-Based Modeling -- Short Duration Aggregate Statistical Model Checking for Multi-Agent Systems. |
| Record Nr. | UNINA-9910484147403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, IvaÌn MarsaÌ Maestre (editors)
| PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, IvaÌn MarsaÌ Maestre (editors) |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIII, 430 p. 124 illus., 101 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Multiagent systems |
| ISBN | 3-030-69322-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Implementation of Real Data for Financial Market Simulation using Clustering, Deep Learning, and Artificial Financial Market -- Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment -- A Socio-Psychological Approach To Simulate Trust and Reputation in Modal Choices -- Reasoning about Trustworthiness in Cyber-Physical Systems Using Ontology-Based Representation and ASP -- Optimal Deterministic Time-based Policy in Automated Negotiation -- Agent Simulation of Collision Avoidance based on Meta-Strategy Model -- The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach -- Distance-based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents -- Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning -- Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-Agent Deep Q-Learning -- Policy Adaptive Multi-Agent Deep Deterministic Policy Gradient -- Multi-Agent Planning with High-Level Human Guidance -- Preference Elicitation in Assumption-Based Argumentation -- Declarative Preferences in Reactive BDI Agents -- Predicting the Priority of Social Situations for Personal Assistant Agents -- Mutex Propagation for SAT-based Multi-Agent Path Finding -- A SMT-based Implementation for Safety Checking of Parameterized Multi-Agent Systems -- A Goal-Based Framework For Supporting Medical Assistance: The Case of Chronic Diseases -- Optimal Control of Pedestrian Flows by Congestion Forecasts Satisfying User Equilibrium Conditions -- Automated Negotiation Mechanism and Strategy for Compensational Vehicular Platooning -- A Cognitive Agent Framework in Information Retrieval: Using User Beliefs to Customize Results -- Deep Reinforcement Learning for Pedestrian Guidance -- NegMAS: A platform for automated negotiations -- Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets -- Construct an Artificial Population with Urban and Rural Population Differences Considered: to support long-term care system evaluation by agent-based simulation -- Multi-Agent Path Finding with Destination Choice -- Abductive Design of BDI Agent-based Digital Twins of Organizations -- Beliefs, Time and Space: A Language for the Ykai Board Game -- Argumentation-based Explanations of Multimorbidity Treatment Plans -- The Persistence of False Memory: Brain in a Vat despite Perfect Clocks -- Box-Office Prediction Based on Essential Features Extracted from Agent-Based Modeling -- Short Duration Aggregate Statistical Model Checking for Multi-Agent Systems. |
| Record Nr. | UNISA-996464519703316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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