Abstract
In this paper we introduce new mechanisms of dispute resolution as a helping tool in legal procedures for lawyers, mediators and judges with the objective to reach an agreement between the parties; in some situations. The primary objectives are the following: to apply algorithmic mechanisms to the solution of certain national and cross-border civil matters, including matrimonial regimes, successions and trusts, commercial law and consumer law, facilitating the agreement process among the parties; to demonstrate the efficacy of an algorithmic approach and apply it into the allocation of goods, or the resolution of issues, in disputes, leading the parties to a friendly solution before or during the trial comparison. We will focus on the algorithms used for resolving disputes that involve a division of goods between agents, e.g. inheritance, divorces and company law.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Russell, S., Norvig, P.: Artificial Intelligence: A modern approach, 3rd edn. (2009)
Audiconsum. CREA Project. https://www.adiconsum.it/al-tuo-fianco/iniziative/crea-conflict-resolution-with-equitative-algorithms/. Accessed 02 Feb 2019
CREA: CREA Project. http://www.crea-project.eu. Accessed 02 Feb 2019
CREA: Commission, European. Grant Agreement number - 766463 (2017)
Kumar, V.: Algorithms for constraint-satisfaction problems: a survey. AI Mag. 13(1), 32 (1992)
Pazner, E.A., Schmeidler, D.: Egalitarian equivalent allocations: a new concept of economic equity. Q. J. Econ. 92, 671–687 (1978)
Nash, J.F.: The Bargaining Problem. Econometrica 18, 155–162 (1950)
Bogomolnaia, A., Moulin, H., Sandomirskiy, F., Yanovskaya, E.: Competitive division of a mixed manna. Econometrica 85, 1847–1871 (2017)
Buchanan, B.G., Headrick, T.E.: Some speculation about artificial intelligence and legal reasoning. Stan. Law Rev. 23, 40–62 (1970)
AI vs Lawyer: LawGeex, February 2018. https://www.lawgeex.com/resources/aivslawyer/
European Commission: Effective justice the 2018 EU Justice Scoreboard. https://ec.europa.eu
Chianese, A., Marulli, F., Piccialli, F.: Cultural heritage and social pulse: a semantic approach for CH sensitivity discovery in social media data. In: IEEE Tenth International Conference on Semantic Computing (ICSC), pp. 459–464 (2016)
Amato, F., Moscato, V., Picariello, A., Piccialli, F., Sperlí, G.: Centrality in heterogeneous social networks for lurkers detection: an approach based on hypergraphs. Concurrency Comput.: Pract. Exp. 30(3), e4188 (2018)
Hussain, S., Keung, J., Khan, A.A., Ahmad, A., Cuomo, S., Piccialli, F., Jeon, G., Akhunzada, A.: Implications of deep learning for the automation of design patterns organization. J. Parallel Distrib. Comput. 117, 256–266 (2018)
Coppolino, L., D’Antonio, S., Mazzeo, G., Romano, L., Sgaglione, L.: Exploiting new CPU extensions for secure exchange of eHealth data at the EU level. In: 14th European Dependable Computing Conference (EDCC), pp. 17–24, Iasi (2018). https://doi.org/10.1109/edcc.2018.00015 (2018)
Luigi, C., D’Antonio, S., Mazzeo, G., Luigi, R.: A comparative analysis of emerging approaches for securing Java software with Intel SGX. Future Gener. Comput. Syst. 97, 620–633 (2019). ISSN 0167-739X. https://doi.org/10.1016/j.future.2019.03.018
Mazzeo, G., Coppolino, L., D’Antonio, S., Mazzariello, C., Romano, L.: SIL2 assessment of an active/standby COTS-based safety-related system. Reliab. Eng. Syst. Saf. 176, 125–134 (2018). ISSN 0951- 8320. https://doi.org/10.1016/j.ress.2018.04.009
Cilardo, A., Barbareschi, M., Mazzeo, A.: Secure distribution infrastructure for hardware digital contents. IET Comput. Digit. Tech. 8(6), 300–310 (2014)
Amelino, D., Barbareschi, M., Cilardo, A.: An IP core remote anonymous activation protocol. IEEE Trans. Emerg. Top. Comput. 6(2), 258–268 (2016)
Cilardo, A., et al.: An FPGA-based key-store for improving the dependability of security services. In: 10th IEEE International Workshop on Object-Oriented Real-Time Dependable Systems. IEEE (2005)
Amato, F., Moscato, F., Moscato, V., Colace, F.: Improving security in cloud by formal modeling of IaaS resources. Future Gener. Comput. Syst. 87, 754–764 (2018). https://doi.org/10.1016/j.future.2017.08.016. Elsevier B.V
Di Lorenzo, G., Mazzocca, N., Moscato, F., Vittorini, V.: Towards semantics driven generation of executable web services compositions. J. Softw. 2(5), 1–15 (2007). https://doi.org/10.4304/jsw.5.1.1-15
Moscato, F., Aversa, R., Di Martino, B., Rak, M., Venticinque, S., Petcu, D.: An ontology for the cloud in mOSAIC. In: Cloud Computing: Methodology, Systems, and Applications, pp. 467–485 (2017). https://doi.org/10.1201/b11149
Aversa, R., Di Martino, B., Moscato, F.: Critical systems verification in MetaMORP (h) OSY. In: Artificial Intelligence and Lecture Notes in Bioinformatics, LNCS, vol. 8696, pp. 119–129. Springer. https://doi.org/10.1007/978-3-319-10557-4_15
Albanese, M., Erbacher, R.F., Jajodia, S., Molinaro, C., Persia, F., Picariello, A., Subrahmanian, V.S.: Recognizing unexplained behavior in network traffic. In: Network Science and Cybersecurity, pp. 39–62. Springer, New York (2014)
Amato, F., Cozzolino, G., Moscato, V., Moscato, F.: Analyse digital forensic evidences through a semantic-based methodology and NLP techniques. Future Gener. Comput. Syst. 98, 297–307 (2019)
Cozzolino, G.: Using semantic tools to represent data extracted from mobile devices. In: Proceedings - 2018 19th International Conference on Information Reuse and Integration for Data Science, IRI 2018, vol. 8424755, pp. 530–536. IEEE (2018)
Acknowledgments
This paper has been produced with the financial support of the Justice Programme of the European Union, 766463 CREA. The contents of this report are the sole responsibility of the authors and can in no way be taken to reflect the views of the European Commission.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Amato, A., Amato, F., Cozzolino, G., Giacalone, M., Romeo, F. (2020). Optimization Algorithms and Tools Applied in Agreements Negotiation. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_51
Download citation
DOI: https://doi.org/10.1007/978-3-030-33509-0_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33508-3
Online ISBN: 978-3-030-33509-0
eBook Packages: EngineeringEngineering (R0)