PRIMA 2022: Principles and Practice of Multi-Agent Systems 24th International Conference, Valencia, Spain, November 16–18, 2022, Proceedings /
This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in hybrid mode in Valencia, Spain, in November 2022. The 31 full papers presented together with 15 short papers and 1 demo paper were carefully revi...
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| Institution som forfatter: | |
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| Andre forfattere: | , , , , |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Udgivelse: | 1st ed. 2023. |
| Serier: | Lecture Notes in Artificial Intelligence,
13753 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-031-21203-1 |
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Indholdsfortegnelse:
- Robustness of Congestion Pricing in Traffic Networks with Link-specific Noise
- Explanation-based Negotiation Protocol for Health Coaching
- Cooperative driving at intersections through agent-based argumentation
- Dyadic Obligations: Proofs and Countermodels via Hypersequents
- On Normative Reinforcement Learning via Safe Reinforcement Learning
- Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations
- Task Allocation on Networks with Execution Uncertainty
- Incorporating AI methods in micro-dynamic analysis to support group-specific policy-making
- False-Name-Proof Facility Location on Wheel Graphs
- Improving Problem Decomposition and Regulation in Distributed Multi-Agent Path Finder (DMAPF)
- Assume-Guarantee Verification of Strategic Ability
- Sample Complexity of Learning Multi-Value Opinions in Social Networks
- A Hybrid Model of Traffic Assignment and Control for Autonomous Vehicles
- MTIRL: Multi-trainer interactive reinforcementlearning system
- Action Languages Based Actual Causality in Decision Making Contexts
- Goal-oriented coordination with cumulative goals
- Optimal Parameter Selection Using Explainable AI for Time-Series Anomaly Detection
- Does Order Simultaneity Affect the Data Mining Task in Financial Markets?
- Effect Analysis of Order Simultaneity using Artificial Market
- Fine-grained Prediction and Control of Covid-19 Pandemic in a City: Application to Post-Initial Stages
- Preference Aggregation Mechanisms for a Tourism-Oriented Bayesian Recommender
- Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness
- Learning to Classify Logical Formulas based on their Semantic Similarity
- Time Series Predictive Models for Opponent Behavior Modeling in Bilateral Negotiations
- An MCTS-based Algorithm to Solve Sequential CFGs on Valuation Structures
- The FastMap Pipeline for Facility Location Problems
- An Axiomatic Approach to FormalizedResponsibility Ascription
- Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time
- Synchronization
- Dynamic Continuous Distributed Constraint Optimization Problems
- DITURIA: A Framework for Decision Coordination Among Multiple Agents
- Evaluating Adaptive and Non-adaptive Strategies for Selecting and Orienting Influencer Agents for Effective Flock Control
- A Proportional Pricing Mechanism for Ridesharing Services With Meeting Points
- Privacy-Aware Explanations for Team Formation
- A New Semantics for The Action Language mA*
- Coalition Logic for Specification and Verification of Smart Contract Upgrades
- Collaborative Multi-Agent System for Automatic Linear Text Segmentation
- Start Making Sense: Identifying Behavioural Indicators When Things Go Wrong During Interaction with Artificial Agents
- Comparing mediated and unmediated agent-based negotiation in Wi-Fi channel assignment
- Design of Conversational Components to Facilitate Human-Agent Negotiation
- AN UsingLocal Search in Multi-Issue Bilateral and Repeated Negotiation
- Ontology-based Reflective Communication for Shared Human-AI Recognition of Emergent Collaboration Patterns
- Accounting for Strategic Response in Limit Order Book Dynamics
- Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations
- On Reachable Assignments under Dichotomous Preferences
- Identifying Necessary and Sufficient Conditions for the Enforcement Problem of Argumentation Frameworks
- Collaborative filtering to capture AI user's preferences as norms
- Influence Of Expertise Complementarity on Ad Hoc Human-Agent Team Effectiveness
- STV+AGR: Towards Verification of Strategic Ability Using Assume-Guarantee Reasoning.