Managing Conflicts Between Individuals and Societies in Multi-agent Systems
نویسندگان
چکیده
The development of multi-agent systems (MAS) implies considering both the social and individual levels of these systems. However, the elements in these levels are not necessarily consistent. Conflicts can arise between the goals of the community and those of individual agents. These contradictions are potentially very complex, given the inherent intentional nature of agents and the interactive features of their societies. Developers can face these problems about contradictions with traditional software engineering verification techniques. Nevertheless, these techniques always depend on the understanding of developers about what properties to check. Abstractions of the agent paradigm offer a new possibility for verification: the use of expert knowledge from social sciences to detect and solve this kind of problems. Social sciences and MAS research share a similar view about their objects of study: societies of intentional actors. With this basis, it is possible to adapt the expertise of social sciences to the study of MAS, providing a new source of knowledge for the verification of MAS focused in their social and intentional features. Based on our previous research, we have developed a method to solve motivational contradictions with one of these social theories, the Activity Theory. This method is explained with a case study about the management of a bookstore.
منابع مشابه
Case-based strategies for argumentation dialogues in agent societies
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 in...
متن کاملA Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents
Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....
متن کاملDialogue games that agents play within a society
Human societies have long used the capability of argumentation and dialogue to overcomeand resolve conflicts that may arise within their communities. Today, there is an increasinglevel of interest in the application of such dialogue games within artificial agent societies. Inparticular, within the field of multi-agent systems, this theory of argumentation and dialoguegames has b...
متن کاملFrom Agent Theories to Multi-Agent Theories
Many research efforts in the area of autonomous and intelligent agents have focused on intra-agent aspects, such as agent languages and architectures, which focus on the agent’s internal structure. Instead, multi-agent systems should not be simply considered as a multitude of individuals. If a society of agent exists, a collective social behaviour is likely to emerge. Therefore, to fully unders...
متن کاملEvolutionary Optimization of Societies in Simulated Multi-Agent Systems
In this paper we show how to use evolutionary optimization in multi-agent systems with simple, non deliberative agents to evolve successful interaction in societies, mostly for task allocation based problems. The presented generic optimization scheme – which is implemented based on the multi-agent simulation tool SeSAm – was used to model prehistoric ant species. The idea was to show how solita...
متن کامل