Conversational semantics sustained by commitments

Flores, Roberto A.; Pasquier, Philippe; Chaib-draa, Brahim

doi:10.1007/s10458-006-0011-1

Cited by 14 publications

(8 citation statements)

References 13 publications

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“…Flores et al [41] propose an ACL founded on four levels: compositional, conversational, commitment state, and joint activity. Like Fornara et al, these authors define message semantics (at one level) based on commitments.…”

Section: Related Work and Discussionmentioning

confidence: 99%

Commitments and interaction norms in organisations

Dastani

Torre

Yorke-Smith

2015

Auton Agent Multi-Agent Syst

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In an organisational setting such as an online marketplace, an entity called the 'organisation' or 'institution' defines interaction protocols, monitors agent interaction, and intervenes to enforce the interaction protocols. The organisation might be a software system that thus regulates the marketplace, for example. In this article we abstract over applicationspecific protocols and consider commitment lifecycles as generic interaction protocols. We model interaction protocols by explicitly-represented norms, such that we can operationalise the enforcement of protocols by means of norm enforcement, and we can analyse the protocols by a logical analysis of the norms. We adopt insights and methods from commitment-based approaches to agent interaction as well as from norm-based approaches to agent behaviour governance. First, we show how to use explicitly-represented norms to model commitment dynamics (lifecycles). Second, we introduce an operational semantics to operationalise norm enforcement. Third, we show how to logically analyse interaction protocols by means of commitment dynamics and norm enforcement. The model, semantics, and analysis are illustrated by a running example from a vehicle insurance domain. Keywords Commitments · Normative organisations · Operational semanticsThe foundations of the ideas developed in this article were presented at the COIN workshop at AAMAS'12 [34] and briefly summarized at the AAMAS'12 conference [33].

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Section: Related Work and Discussionmentioning

confidence: 99%

Commitments and interaction norms in organisations

Dastani

Torre

Yorke-Smith

2015

Auton Agent Multi-Agent Syst

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“…In [16] Flores et al propose an ACL semantics based on four levels: compositional, conversational, commitment state, and joint activity. The first level, used to express the meaning of messages in term of commitments, characterized by a life cycle based on states and transitions, is very close to our proposal.…”

Section: Discussionmentioning

confidence: 99%

Agent communication and artificial institutions

Fornara

Viganò

Colombetti

2006

Auton Agent Multi-Agent Syst

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Abstract. In this paper we propose an application-independent model for the definition of artificial institutions that can be used to define open multi-agent systems. Such a model of institutional reality makes us able also to define an objective and external semantics of a commitment-based Agent Communication Language (ACL). In particular we propose to regard an ACL as a set of conventions to act on a fragment of institutional reality, defined in the context of an artificial institution. Another contribution of the work presented in this paper is an operational definition of norms, a crucial component of artificial institutions. In fact in open systems interacting agents might not conform to the specifications. We regard norms as event-driven rules that when are fired by events happening in the system create or cancel a set of commitments. An interesting aspect of our proposal is that both the definition of the ACL and the definition of norms are based on the same notion of commitment. Therefore an agent capable of reasoning on commitments can reason on the semantics of communicative acts and on the system of norms.

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“…The self-evaluation of training dataset column (third light-grayed column) shows the percentage of complaints that were correctly classified (with respect to the assessment of human experts) when the training dataset is used for both training and evaluation. 12 The middle area (Classification results) gives the number of complaints that were classified correctly and incorrectly in each databank using the similarity-based approach, as well as the number of false positives and false negatives obtained. We also distinguish the set C incons (1st dark-grayed column) of those complaint scenarios in each databank which were classified inconsistently by our approach, belonging to both the class of valid and invalid complaints.…”

Section: Stage 2: Evaluating the Classification Accuracymentioning

confidence: 99%

“…In contrast with our formalization, this approach allows for assessments over a continuum (rather than a binary "valid -invalid" evaluation), resulting in a better perspective for decision making in business applications. Recent research has also been oriented towards developing dialogical systems (e.g., [32,12]) which have simple speech act constitutive elements, and have been shown to be complete to formalize many negotiation tasks. In spite of their expressivity, such systems cannot be directly adapted to complaint situations, as we focus on a negotiation between human agents (company and customer), presented in restricted natural language (rather than in a specialized formal language as in dialogical systems), augmenting our inference capabilities by means of supervised learning.…”

Section: Related Workmentioning

confidence: 99%