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PRIMA 2022: Principles and Practice of Multi-Agent Systems de Reyhan Aydo¿an

PRIMA 2022: Principles and Practice of Multi-Agent Systems: Lecture Notes in Computer Science

Editat de Reyhan Aydo¿an, Natalia Criado, Jérôme Lang, Victor Sanchez-Anguix, Marc Serramia
en Limba Engleză Paperback – 12 noi 2022
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 reviewed and selected from 100 submissions. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
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Specificații

ISBN-13: 9783031212024
ISBN-10: 3031212029
Pagini: 720
Ilustrații: XXI, 698 p. 201 illus., 138 illus. in color.
Dimensiuni: 155 x 235 x 39 mm
Greutate: 1.07 kg
Ediția:1st edition 2023
Editura: Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.