PRIMA 2022: Principles and Practice of Multi-Agent Systems

24th International Conference, Valencia, Spain, November 16–18, 2022, Proceedings

AvReyhan Aydoğan,Natalia Criado

Häftad, Engelska, 2022

Del 13753 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-11-12
Mått:155 x 235 x 39 mm
Vikt:1 072 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:698
Förlag:Springer International Publishing AG
ISBN:9783031212024

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

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.