Abstract:Commitments capture how an agent relates to another agent, whereas goals describe states of the world that an agent is motivated to bring about. Commitments are elements of the social state of a set of agents whereas goals are elements of the private states of individual agents. It makes intuitive sense that goals and commitments are understood as being complementary to each other. More importantly, an agent's goals and commitments ought to be coherent, in the sense that an agent's goals would lead it to ado… Show more
“…In the proposed model, purposes compose a system (i) explicit, as it is properly specified through institutional concepts and (ii) external, as it is persisted outside the agents mind. Such conception is in agreement with some authors that point that institutions can (or perhaps even should) be used for purposes that are beyond the normative ones [28,13,32,33,21,23]. In summary, our work proposes an interface to make different couplings in different institutions without changing the institutional specification or the coding of the agents.…”
In multi-agent systems, the agents may have goals that depend on a social, shared interpretation about the facts occurring in the system. These are the so-called social goals. Artificial institutions provide such a social interpretation by assigning statuses to the concrete elements that compose the system. These statuses are supposed to enable the assignee element to perform functions that are not exclusively inherent to their design features. However, the enabled functions are not explicit in the existing models of artificial institutions. As a consequence, (i) agents may have difficulties to reasoning about how to achieve their own social goals with the help of artificial institutions and (ii) these institutions are not well instrumented to receive incoming agents, in the case of open systems. Considering those problems, this paper proposes a model to express the functions -or the purposes -associated with the status-functions helping the agents to reason about their social goals and the institution. We evaluate the model by using it in some scenarios, showing how the agents can use purposes to reason about the satisfaction of their social goals in institutional contexts and how the institution can be flexible enough to support new agents operating in the system.
“…In the proposed model, purposes compose a system (i) explicit, as it is properly specified through institutional concepts and (ii) external, as it is persisted outside the agents mind. Such conception is in agreement with some authors that point that institutions can (or perhaps even should) be used for purposes that are beyond the normative ones [28,13,32,33,21,23]. In summary, our work proposes an interface to make different couplings in different institutions without changing the institutional specification or the coding of the agents.…”
In multi-agent systems, the agents may have goals that depend on a social, shared interpretation about the facts occurring in the system. These are the so-called social goals. Artificial institutions provide such a social interpretation by assigning statuses to the concrete elements that compose the system. These statuses are supposed to enable the assignee element to perform functions that are not exclusively inherent to their design features. However, the enabled functions are not explicit in the existing models of artificial institutions. As a consequence, (i) agents may have difficulties to reasoning about how to achieve their own social goals with the help of artificial institutions and (ii) these institutions are not well instrumented to receive incoming agents, in the case of open systems. Considering those problems, this paper proposes a model to express the functions -or the purposes -associated with the status-functions helping the agents to reason about their social goals and the institution. We evaluate the model by using it in some scenarios, showing how the agents can use purposes to reason about the satisfaction of their social goals in institutional contexts and how the institution can be flexible enough to support new agents operating in the system.
“…Such conception is in agreement with some authors that signaled that an institution can (or perhaps even should) be used for purposes other than just normative. We were inspired in some works that suggest that an artificial institution has been used to other purposes without be normative [28,7,45,46,47,48]. In summary, our work proposes an interface to make different couplings in different institutions without changing the institutional specification or the coding of the agents.…”
{In multi-agent systems, artificial institutions connect institutional concepts, belonging to the institutional reality, to the concrete elements that compose the system. The institutional reality is composed of a set of institutional concepts, called Status-Functions. Current works on artificial institutions focus on identifying the status-functions and connecting them to the concrete elements. However, the functions associated with the status-functions are implicit. As a consequence, the agents cannot reason about the functions provided by the elements that carry the status-functions and, thus, cannot exploit these functions to satisfy their goals. Considering this problem, this paper proposes a model to express the functions -- or the purposes -- associated with the status-functions. Examples illustrate the application of the model in a practical scenario, showing how the agents can use purposes to reason about the satisfaction of their goals in institutional contexts.
“…We adopt achievement commitment and achievement goal as defined by Telang, Singh, and Yorke-Smith (2019), hereinafter TSY, denoting achievement commitments by C and achievement goals by G. We adopt and enhance TSY's definitions of state functions, maximal sets, and consistency.…”
Section: Achievement Commitments and Goalsmentioning
confidence: 99%
“…Recent research characterizes coherence between a rational agent's (achievement) commitments and its (achievement) goals (Telang, Singh, and Yorke-Smith 2019). Building on this approach, we motivate an enhanced notion of coherence and with it study the synergy between an agent's maintenance commitments and its achievement and maintenance goals.…”
We introduce and formalize a concept of a maintenance commitment, a kind of social commitment characterized by states whose truthhood an agent commits to maintain. This concept of maintenance commitments enables us to capture a richer variety of real-world scenarios than possible using achievement commitments with a temporal condition. By developing a rule-based operational semantics, we study the relationship between agents' achievement and maintenance goals, achievement commitments, and maintenance commitments. We motivate a notion of coherence which captures alignment between an agents' achievement and maintenance cognitive and social constructs, and prove that, under specified conditions, the goals and commitments of both rational agents individually and of a multiagent system are coherent.
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