Reasoning with cases and hypotheticals in HYPO
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
CABARET: rule interpretation in a hybrid architecture
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
BankXX: a program to generate argument through case-base research
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
A model of legal reasoning with cases incorporating theories and values
Artificial Intelligence - Special issue on AI and law
Argumentation-based negotiation
The Knowledge Engineering Review
Modular Representation of Agent Interaction Rules through Argumentation
Autonomous Agents and Multi-Agent Systems
A Real-Time Negotiation Model and A Multi-Agent Sensor Network Implementation
Autonomous Agents and Multi-Agent Systems
The Knowledge Engineering Review
A formal model for designing dialogue strategies
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Strategic argumentation: a game theoretical investigation
Proceedings of the 11th international conference on Artificial intelligence and law
Learning and joint deliberation through argumentation in multiagent systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIES
Applied Artificial Intelligence
Specifying norm-governed computational societies
ACM Transactions on Computational Logic (TOCL)
Multi-domain case-based module for customer support
Expert Systems with Applications: An International Journal
CBR and Argument Schemes for Collaborative Decision Making
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Argumentation in Artificial Intelligence
Argumentation in Artificial Intelligence
A characterisation of strategy-proofness for grounded argumentation semantics
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
The Knowledge Engineering Review
A forecasting solution to the oil spill problem based on a hybrid intelligent system
Information Sciences: an International Journal
ANGLE: An autonomous, normative and guidable agent with changing knowledge
Information Sciences: an International Journal
Choosing persuasive arguments for action
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Strategic argumentation in rigorous persuasion dialogue
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
On a computational argumentation framework for agent societies
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
Expert Systems with Applications: An International Journal
ArgCBROnto: a knowledge representation formalism for case-based argumentation
AT'13 Proceedings of the Second international conference on Agreement Technologies
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In multi-agent systems, agents perform complex tasks that require different levels of intelligence and give rise to interactions among them. From these interactions, conflicts of opinion can arise, especially when these systems become open, with heterogeneous agents dynamically entering or leaving the system. Therefore, agents willing to participate in this type of system will be required to include extra capabilities to explicitly represent and generate agreements on top of the simpler ability to interact. Furthermore, agents in multi-agent systems can form societies, which impose social dependencies on them. These dependencies have a decisive influence in the way agents interact and reach agreements. Argumentation provides a natural means of dealing with conflicts of interest and opinion. Agents can reach agreements by engaging in argumentation dialogues with their opponents in a discussion. In addition, agents can take advantage of previous argumentation experiences to follow dialogue strategies and persuade other agents to accept their opinions. Our insight is that case-based reasoning can be very useful to manage argumentation in open multi-agent systems and devise dialogue strategies based on previous argumentation experiences. To demonstrate the foundations of this suggestion, this paper presents the work that we have done to develop case-based dialogue strategies in agent societies. Thus, we propose a case-based argumentation framework for agent societies and define heuristic dialogue strategies based on it. The framework has been implemented and evaluated in a real customer support application.