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Logic-based technologies for multi-agent systems: a systematic literature review
Open accessAbstract
Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computer-scientists and non-technical media, symbolic approaches are getting more and more attention as those that could make AI amenable to human understanding. Given the recurring cycles in the AI history, we expect that a revamp of technologies often tagged as “classical AI”—in particular, logic-based ones—will take place in the next few years. On the other hand, agents and multi-agent systems (MAS) have been at the core of the design of intelligent systems since their very beginning, and their long-term connection with logic-based technologies , which characterised their early days, might open new ways to engineer explainable intelligent systems . This is why understanding the current status of logic-based technologies for MAS is nowadays of paramount importance. Accordingly, this paper aims at providing a comprehensive view of those technologies by making them the subject of a systematic literature review (SLR). The resulting technologies are discussed and evaluated from two different perspectives: the MAS and the logic-based ones.
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“However, across these diverse systems, early AI agents shared common limitations: they lacked self-learning, generative reasoning, and adaptability to unstructured or evolving environments.”
From AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges (2025) · cites this paper as [5]
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BackgroundJADE-JBossESB gateway: Integration of multi-agent system with enterprise service bus
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BackgroundComputational Logic in Multi-Agent Systems
Bulling, N., van der Torre, L., Villata, S., Jamroga, W., & Vasconcelos, W. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-09764-0 · Cited by 8
Towards Active Logic Programming
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“MAS perspective DALI is an agent programming language based on the active logic programming language [94] designed to make logical specifications of agents executable.”
BackgroundA Generalized Commitment Machine for 2CL Protocols and Its Implementation
Baldoni, M., Baroglio, C., Capuzzimati, F., Marengo, E., & Patti, V. (2012) · International Workshop on Declarative Agent Languages and Technologies · doi:10.1007/978-3-642-37890-4_6 · Cited by 8 · cited 1×
“Primary references: [26] Other references describing / exploiting the technology: [22,24] URL: http://www.”
BackgroundA Heuristic Approach to P2P Negotiation
Costantini, S., Tocchio, A., & Tsintza, P. (2008) · Computational Logic in Multi-Agent Systems · doi:10.1007/978-3-540-88833-8_10 · Cited by 8 · cited 1×
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BackgroundA Multi-Agent System for Industrial Fault Detection and Repair
Bevar, V., Costantini, S., Tocchio, A., & Gasperis, G. D. (2012) · Practical Applications of Agents and Multi-Agent Systems · doi:10.1007/978-3-642-28786-2_5 · Cited by 8
Twenty years of coordination technologies: COORDINATION contribution to the state of art
Ciatto, G., Mariani, S., Serugendo, G. D. M., Louvel, M., Omicini, A., & Zambonelli, F. (2020) · J. Log. Algebraic Methods Program. · doi:10.1016/j.jlamp.2020.100531 · Cited by 7 · cited 1×
“[79], the TuSoW project [78] can be considered a notable rebooting attempt for TuCSoN, focusing on supporting modern mainstream technologies and platforms.”
BackgroundSelf-citationDesign of a multi-agent system for distributed voltage regulation
Chen, M.-J., Athanasiadis, D., Faiya, B. M. A., McArthur, S., Kockar, I., Lu, H.-W., & de León, F. (2017) · International Symposium on Antennas and Propagation · doi:10.1109/isap.2017.8071400 · Cited by 7
Graja, Z., Migeon, F., Maurel, C., Gleizes, M.-P., & Kacem, A. (2014) · EMAS@AAMAS · doi:10.1007/978-3-319-14484-9_3 · Cited by 7 · cited 1×
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BackgroundKöhler-Bussmeier, M., & Wester-Ebbinghaus, M. (2009) · Multiagent System Technologies · doi:10.1007/978-3-642-04143-3_27 · Cited by 7
TuSoW: Tuple Spaces for Edge Computing
Ciatto, G., Rizzato, L., Omicini, A., & Mariani, S. (2019) · International Conference on Computer Communications and Networks · doi:10.1109/icccn.2019.8846916 · Cited by 6
Self-citationLanguages, Methodologies, and Development Tools for Multi-Agent Systems
Dastani, M., Seghrouchni, A. E. F., Hbner, J. F., & Leite, J. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-22723-3 · Cited by 6
InstQL: A Query Language for Virtual Institutions Using Answer Set Programming
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“R [159], tuProlog [122], Xsb [309], YAP Prolog [93] No logic AGENTFLY [322], Aglets [221], CArtAgO [298], ConArg [38], cougaar [173], JaCaMo [41], JADE-JBossESB [346], JACKAL [92], Klaim [115], Magentix2 [328], MASON [238], Moise & S-Moise+ [193], Presage2 [71], RETSINA [329], SARL APL [302] Technology not found ABLE…”
BackgroundSlota, M., & Leite, J. (2008) · Computational Logic in Multi-Agent Systems · doi:10.1007/978-3-540-88833-8_16 · Cited by 6 · cited 2×
“R [159], tuProlog [122], Xsb [309], YAP Prolog [93] No logic AGENTFLY [322], Aglets [221], CArtAgO [298], ConArg [38], cougaar [173], JaCaMo [41], JADE-JBossESB [346], JACKAL [92], Klaim [115], Magentix2 [328], MASON [238], Moise & S-Moise+ [193], Presage2 [71], RETSINA [329], SARL APL [302] Technology not found ABLE…”
BackgroundA virtual e-retailing environment in GOLEM
Bromuri, S., Urovi, V., Contreras, P., & Stathis, K. (2008) · doi:10.1049/cp:20081174 · Cited by 6 · cited 2×
“R [159], tuProlog [122], Xsb [309], YAP Prolog [93] No logic AGENTFLY [322], Aglets [221], CArtAgO [298], ConArg [38], cougaar [173], JaCaMo [41], JADE-JBossESB [346], JACKAL [92], Klaim [115], Magentix2 [328], MASON [238], Moise & S-Moise+ [193], Presage2 [71], RETSINA [329], SARL APL [302] Technology not found ABLE…”
BackgroundComputational Logic in Multi-Agent Systems
Leite, J. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-16867-3 · Cited by 6
AgentSpeak(ER): Enhanced Encapsulation in Agent Plans
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BackgroundDesigning Multi-Agent Systems from Ontology Models
Freitas, A., Bordini, R. H., & Vieira, R. (2018) · EMAS@AAMAS · doi:10.1007/978-3-030-25693-7_5 · Cited by 5
Using Automatic Failure Detection for Cognitive Agents in Eclipse: (Demonstration)
Koeman, V. J., Hindriks, K., & Jonker, C. (2016) · Adaptive Agents and Multi-Agent Systems · doi:10.65109/xjme7657 · Cited by 5
Using Agent JPF to Build Models for Other Model Checkers
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Operational Semantics for BDI Modules in Multi-agent Programming
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Institutions in the OPAL multi-agent system
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“R [159], tuProlog [122], Xsb [309], YAP Prolog [93] No logic AGENTFLY [322], Aglets [221], CArtAgO [298], ConArg [38], cougaar [173], JaCaMo [41], JADE-JBossESB [346], JACKAL [92], Klaim [115], Magentix2 [328], MASON [238], Moise & S-Moise+ [193], Presage2 [71], RETSINA [329], SARL APL [302] Technology not found ABLE…”
BackgroundA tool for agent communication in Mozart/Oz
Suárez-Romero, J. A., Alonso-Betanzos, A., Guijarro-Berdiñas, B., & Durán-Sanlés, C. (2005) · ACM International Conference on International Agent Technology · doi:10.1109/iat.2005.23 · Cited by 5
Specification and Verification of Agent Interaction Using Abductive Reasoning (Tutorial Paper)
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Costantini, S., & Formisano, A. (2016) · EMAS@AAMAS · doi:10.1007/978-3-319-50983-9_11 · Cited by 4
Engineering Multi-Agent Systems
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“Primary references: [215] Other references describing / exploiting the technology: [216] URL: http://lpis.”
BackgroundConstruction of an Agent-Based Framework for Evolutionary Biology: A Progress Report
Pan, Y., Tu, P. H., Pontelli, E., & Son, T. C. (2004) · International Workshop on Declarative Agent Languages and Technologies · doi:10.1007/11493402_6 · Cited by 4
Declarative Agent Languages and Technologies VIII
Omicini, A., Sebastian, S., & Wamberto, V. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-20715-0 · Cited by 4
Self-citationAdding Organizational Reasoning to Agent-Based Simulations in GAMA
Larsen, J. B. (2018) · EMAS@AAMAS · doi:10.1007/978-3-030-25693-7_13 · Cited by 3 · cited 3×
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BackgroundEvaluating Different Concurrency Configurations for Executing Multi-Agent Systems
Zatelli, M. R., Ricci, A., & Hübner, J. (2015) · EMAS@AAMAS · doi:10.1007/978-3-319-26184-3_12 · Cited by 3
A statistical model checker for situation calculus based multi-agent models
Kroiss, C. (2014) · Adaptive Agents and Multi-Agent Systems · doi:10.65109/cyym1442 · Cited by 3 · cited 1×
“Primary references: [217] Other references describing / exploiting the technology: [218] URL: http://www.”
BackgroundCLELIA: a multi-agent system for publishing printed and electronic media
Matía, A. L. A., & Sanz-Bobi, M. A. (2005) · Expert systems with applications · doi:10.1016/j.eswa.2004.12.029 · Cited by 3
Malheiro, B., & Oliveira, E. (2001) · Portuguese Conference on Artificial Intelligence · doi:10.1007/3-540-45329-6_22 · Cited by 3 · cited 1×
“Technology not found ABLE [349] , AgentStra [229], Ameli [137], ANA (Automated Negotiation Agent) [214], AOSDE [316], April [251], Argonaut [103], ARTIMIS [51], Baop [106], Camus [230], CASL (cognitive agents specification language) [315], CASP (Checking AgentSpeak Program) [43], Caso [107], Cast [359], CLAIM [132], C…”
BackgroundAOSDE: an agent-oriented software development environment
Shi, Z.-Z., Li, Y., Wang, W., Cao, H., & Jiang, T. (1998) · Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160) · doi:10.1109/icmas.1998.699289 · Cited by 3 · cited 2×
“R [159], tuProlog [122], Xsb [309], YAP Prolog [93] No logic AGENTFLY [322], Aglets [221], CArtAgO [298], ConArg [38], cougaar [173], JaCaMo [41], JADE-JBossESB [346], JACKAL [92], Klaim [115], Magentix2 [328], MASON [238], Moise & S-Moise+ [193], Presage2 [71], RETSINA [329], SARL APL [302] Technology not found ABLE…”
BackgroundEngineering Multi-Agent Systems
Weyns, D., Mascardi, V., & Ricci, A. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-25693-7 · Cited by 3
Self-citationDeclarative Agent Languages and Technologies X
Baldoni, M., Louise, D., Viviana, M., & Wamberto, V. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-37890-4 · Cited by 3
Díaz, Á. F., Earle, C. B., & Fredlund, L. (2018) · EMAS@AAMAS · doi:10.1007/978-3-030-25693-7_2 · Cited by 2 · cited 1×
“Primary references: [88] Other references describing / exploiting the technology: [139,299] URL: http://astralanguage.”
BackgroundDastani, M., & van Zee, M. (2013) · EMAS@AAMAS · doi:10.1007/978-3-642-45343-4_7 · Cited by 2
JAPL: the JADE Agent Programming Language
Bahaj, M., & Soklabi, A. (2013) · doi:10.4304/jetwi.5.3.272-277 · Cited by 2 · cited 2×
“R [159], tuProlog [122], Xsb [309], YAP Prolog [93] No logic AGENTFLY [322], Aglets [221], CArtAgO [298], ConArg [38], cougaar [173], JaCaMo [41], JADE-JBossESB [346], JACKAL [92], Klaim [115], Magentix2 [328], MASON [238], Moise & S-Moise+ [193], Presage2 [71], RETSINA [329], SARL APL [302] Technology not found ABLE…”
BackgroundTemporal Planning in Dynamic Environments for P-CLAIM Agents
Hashmi, A., & Seghrouchni, A. E. F. (2009) · Multi-Agent Logics, Languages, and Organisations Federated Workshops · doi:10.1007/978-3-642-13338-1_4 · Cited by 2
Situating A&A ReSpecT for Pervasive Environment Applications
Casadei, M., & Omicini, A. (2008) · 2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises · doi:10.1109/wetice.2008.31 · Cited by 2 · cited 3×
“Accordingly, tuple centres can be locally deployed within a physically-distributed environment as discussed byCasadei andOmicini [64], with a possibly huge number of spatial containers and physical devices.”
BackgroundSelf-citationHow Research Achievements Can Influence Delivering of a Course - Siebog Agent Middleware
Vidaković, M., Ivanović, M., Stantic, D., & Vidaković, J. (2018) · Agent and Multi-Agent Systems: Technologies and Applications · doi:10.1007/978-3-319-92031-3_11 · Cited by 1 · cited 2×
“R [159], tuProlog [122], Xsb [309], YAP Prolog [93] No logic AGENTFLY [322], Aglets [221], CArtAgO [298], ConArg [38], cougaar [173], JaCaMo [41], JADE-JBossESB [346], JACKAL [92], Klaim [115], Magentix2 [328], MASON [238], Moise & S-Moise+ [193], Presage2 [71], RETSINA [329], SARL APL [302] Technology not found ABLE…”
BackgroundWeb Based System for Weighted Defeasible Argumentation
Teresa, A., Ramón, B., Guitart, F., & Godo, L. (2013) · Computational Logic in Multi-Agent Systems · doi:10.1007/978-3-642-40624-9_10 · Cited by 1 · cited 1×
“Primary references: [158] Other references describing / exploiting the technology: [333] URL: http://tweetyproject.”
BackgroundA coordination protocol for abductive logic agents
Ciampolini, A., Lamma, E., Stefanelli, C., & Mello, P. (1997) · IEEE International Conference on Intelligent Processing Systems · doi:10.1109/icips.1997.672754 · Cited by 1
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BackgroundSelf-citation
Metadata
- Authors
- Calegari, R., Ciatto, G., Mascardi, V., & Omicini, A.
- Affiliations
- University of Bologna (IT)
- University of Genoa (IT)
- Corresponding author
- Calegari, Roberta
- Ciatto, Giovanni
- Mascardi, Viviana
- Omicini, Andrea
- Venue
- Autonomous Agents and Multi-Agent Systems
- Published
- 2020-10-19
- Volume
- 35
- Issue
- 1
- ISSN
- 1387-2532 (ISSN-L)
- 1573-7454
- OpenAlex
- W3093365097
- Cited by
- 117
- References
- 392
- Citations by year
- 2026: 22 · 2025: 23 · 2024: 14 · 2023: 19 · 2022: 14 · 2021: 22 · 2020: 3
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Autonomous Agents and Multi-Agent Systems (publishedVersion, cc-by)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion, other-oa)
- Funders
- Alma Mater Studiorum - Università di Bologna
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- multi-agent systems, symbolic AI, knowledge representation
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