Cantitate/Preț
Produs
Total produse
Vezi coșul
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, cartea 13753

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.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 67135 lei

Preț vechi: 83918 lei
-20%

Puncte Express: 1007

Carte tipărită la comandă

Livrare economică 26 septembrie-10 octombrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

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
Colecția Lecture Notes in Computer Science
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.