LEADER 01043nam0-2200301 --450 001 9910904498603321 005 20241120111631.0 100 $a20241120d1930----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $aa 001yy 200 1 $aContributo sperimentale alla battaglia per il grano$fMario Bresaola$gcon prefazione di Ottavio Munerati 210 $aBergamo$cIstituto italiano d'arti grafiche$d1930 215 $a366 p.$cill.$d28 cm 300 $aIn testa al front.: Stazione sperimentale di praticoltura, Lodi 300 $aIllustrazioni rimontate nel testo. 610 0 $aGrano$aColtivazione$aItalia$a1925-1927 676 $a633.11$v20$zita 700 1$aBresaola,$bMario$072523 702 1$aMunerati,$bOttavio 712 02$aStazione sperimentale di praticoltura$c 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910904498603321 952 $aA AGR 1862$b14715/2024$fFAGBC 959 $aFAGBC 996 $aContributo sperimentale alla battaglia per il grano$9371554 997 $aUNINA LEADER 06266nam 22008055 450 001 9910983322503321 005 20250626164148.0 010 $a9783031773679$b(electronic bk.) 010 $z9783031773662 024 7 $a10.1007/978-3-031-77367-9 035 $a(MiAaPQ)EBC31784979 035 $a(Au-PeEL)EBL31784979 035 $a(CKB)36590113500041 035 $a(DE-He213)978-3-031-77367-9 035 $a(OCoLC)1472988896 035 $a(EXLCZ)9936590113500041 100 $a20241116d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPRIMA 2024: Principles and Practice of Multi-Agent Systems $e25th International Conference, Kyoto, Japan, November 18?24, 2024, Proceedings /$fedited by Ryuta Arisaka, Victor Sanchez-Anguix, Sebastian Stein, Reyhan Aydo?an, Leon van der Torre, Takayuki Ito 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (470 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15395 311 08$aPrint version: Arisaka, Ryuta PRIMA 2024: Principles and Practice of Multi-Agent Systems Cham : Springer,c2024 9783031773662 327 $a -- Coordination and Cooperation. -- Attila: a Negotiating Diplomacy Player Based on Purely Symbolic A.I.. -- Automated Negotiation in Supply Chains: A generalist environment for RL/MARL Research. -- Bargaining through Amalgamation. -- Cascading Power Reduction in Wi-Fi Networks: A Cooperative Approach to Enhance Performance and Efficiency. -- Modelling the Dynamics of Identity and Fairness in Allocation Game. -- Path Finding with Flexible Provisional Booking in Multi-Agent Pickup and Delivery Problems. -- H-EFP: Bridging Efficiency in Multi-Agent Epistemic Planning with Heuristics. -- SPPP: Stochastic penalty path planning for MAPF under conditions of uncertain travel time. -- Market Approaches. -- A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets -- A New Microfoundations of GARCH model. -- Modelling Congestion and Price Competition in EV Charging Markets. -- What is the Price for Lending in Financial Networks?. -- Equilibria of Carbon Allowance Auctions: Emissions and Productivity. -- Logics. -- An action language-based formalisation of an abstract argumentation framework. -- Belief Reconfiguration Without Oracle. -- A Proof Calculus for Ethical Reasoning. -- Resource Action-based Bounded ATL: a New Logic for MAS to express a cost over the actions. -- Judgment Aggregation with Unknown Variable Reliability. -- Theory and Practice of Quantitative ATL. -- Added Value of Probabilistic Model Checking of vGOAL for Autonomous Systems . -- Learning. -- Improving Reinforcement Learning-based Autonomous Agents with Causal Models. -- Incentive-driven Multi-Agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use. -- Robust Individualistic Learning in Many-Agent Systems. -- Discarding Erroneous Knowledge Online in Transfer Reinforcement Learning. -- Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants. -- Safe Multi-agent Reinforcement Learning for Drone Routing Problems. -- Explainability and Interpretability of an Ensemble Multi-Agent System for Supervised Learning. -- VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback. -- Agent-based Modelling and Simulation. -- An Agent-Based Model to Simulate the Effects of Tsunami Warnings on Pedestrian Evacuation : Sensitivity Analysis and Early Findings. -- Beyond Chatbots: Enhancing Luxembourgish Language Learning Through Multi-Agent Systems and Large Language Model. -- Computational Social Choice. -- Multi-Stage Generalized Deferred Acceptance Mechanism: Strategyproof Mechanism for Handling General Hereditary Constraints. -- Friend- and Enemy-oriented Hedonic Games with Strangers. -- Taming Dilation in Imprecise Pooling. -- The Score Reveal Problem: How do we Maximise Entertainment?. 330 $aThis book constitutes the refereed proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024, held in Kyoto, Japan, during November 18?24, 2024. The 23 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 76 submissions. They are organized in the following topical sections: coordination and cooperation; market approaches; logics; learning; agent-based modelling and simulation; computational social choice. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15395 606 $aArtificial intelligence 606 $aCoding theory 606 $aInformation theory 606 $aApplication software 606 $aEducation$xData processing 606 $aSoftware engineering 606 $aComputer science 606 $aArtificial Intelligence 606 $aCoding and Information Theory 606 $aComputer and Information Systems Applications 606 $aComputers and Education 606 $aSoftware Engineering 606 $aTheory of Computation 615 0$aArtificial intelligence. 615 0$aCoding theory. 615 0$aInformation theory. 615 0$aApplication software. 615 0$aEducation$xData processing. 615 0$aSoftware engineering. 615 0$aComputer science. 615 14$aArtificial Intelligence. 615 24$aCoding and Information Theory. 615 24$aComputer and Information Systems Applications. 615 24$aComputers and Education. 615 24$aSoftware Engineering. 615 24$aTheory of Computation. 676 $a006.3 700 $aArisaka$b Ryuta$01782790 701 $aSanchez-Anguix$b Victor$01782791 701 $aStein$b Sebastian$01782792 701 $aAydog?an$b Reyhan$00 701 $aTorre$b Leon van der$01887416 701 $aIto$b Takayuki$0908181 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910983322503321 996 $aPRIMA 2024: Principles and Practice of Multi-Agent Systems$94524133 997 $aUNINA