agent interactions
Comparative analysis of verbal alignment in human-human and human-agent interactions
... In this paper, we investigate : (i) the quantitative evolu- tion of shared vocabulary between two speakers, and (ii) the detailed occurrences of other-repetitions, that is, which words are other-repeated and when. Shared ...
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Devising a trust model for multi agent interactions using confidence and reputation
... speaking, agent interactions go through three main phases: (i) a negotiation dialogue during which the terms of the contract are agreed upon and agents assign an expected utility to the contract, (ii) an ...
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A computational trust model for multi agent interactions based on confidence and reputation
... direct interactions), an agent can build up beliefs about how trustworthy a contracted agent is likely to be in meeting the expected outcomes of particular contract issues ...previous ...
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A formal framework for the semantics of agent interactions
... enabling agent interactions stem from issues in specifying ACLs and ...for agent interaction because of the bewildering array of approaches to formalising an ACL’s ...facilitating agent ...
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Network characteristics emerging from agent interactions in balanced distributed system
... A distributed computing system behaves like a complex network, the interactions between nodes being essential information exchanges and migrations of jobs or services to execute. These actions are performed by ...
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Improving social relationships in face to face human agent interactions: when the agent wants to know user’s likes and dislikes
... pair, Agent: ‘‘Oh!” – User: ‘‘are just very good really good film and read a book”, the grammatical structure of the user sentence is fuzzy (absence of the sub- ject, presence of repairs) which makes the pars- ing ...
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Designing agent oriented systems by analysing agent interactions
... The next step is to combine the first two of the above, i.e., state how a multi-agent system would enact the goal decompositions. In doing this, it is important to retain the whole tree of subgoals from the ...
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Content Extraction and Lexical Analysis from Customer Agent Interactions
... answer interactions between customers and call center agents (at the corpus level) and language as it is standardized in an official dictionary, and to provide a possible solution to extract meaningful content ...
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Open Systems Design Using Agent Interactions
... When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given e.g.. AUTHOR year of submission "Full thesi[r] ...
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Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version)
... TI-MMDPs agent interactions are often sparse and/or local, for instance in the domains mentioned initially, typically resulting in very compact ...reward interactions, and enables agent ...
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Online Full Text
... study agent behavior in a multi-agent ...autonomous agent that senses and acts in its environment learns by interaction with that environment ...simple agent interactions, it does not ...
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Self-Organisation and Emergence in MAS: An Overview
... no agent having a global view of the system status or purpose and no centralised ...Each agent possesses the ability of self-organisation, for example the capability to locally rearrange its ...
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A formula-driven scalable benchmark model for ABM, applied to FLAME GPU
... Rousset et al. [7] used their reference model [8] to benchmark 10 existing platforms that support parallel and distributed systems. The reference model they used is based on three main behaviours for each agent: ...
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Paradoxical interactions between human delta hepatitis agent RNA and the cellular protein kinase PKR.
... delta agent genomic, subgenomic, and antigenomic RNAs all contain one or more subdomains which activate the kinase activity of PKR in vitro without inhibiting translation in rabbit reticulocyte ...delta ...
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The Basic Immune Simulator: An agent-based model to study the interactions between innate and adaptive immunity
... one agent or signal at any (x, y) coordinate in the ...necessary interactions to take ...the interactions and still have a simulation that would be able to run on the average personal ...
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Modelling agent’s questions for analysing user’s affects, appreciations and judgements in human agent interaction (Modélisation des questions de l’agent pour l’analyse des affects, jugements et appréciations de l’utilisateur dans les interactions humain agent) [in French]
... Résumé. Cet article aborde la question des expressions d’attitudes (affects, jugements, appréciations) chez l’utili- sateur dans le cadre d’échanges avec un agent virtuel. Il propose une méthode pour l’analyse des ...
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DRIMA: A Minimal System for Probing the Dynamics of Change in a Reactive Multi-Agent Setting »
... R- agent shown, R06, not only rapidly resolves itself in the two available directions, but also does so with determination; that is, its average probability of moving east quickly goes up, and remains so with ...
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Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning
... the agent policy on valida- tion set, we can gather detailed information about the impact of each category of user goals on the perfor- mance improvement of the dialogue agent ...
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Multi-agents Systems for Remote Control on Internet
... Computer science spans a range of topics from theoretical studies of algorithms and the limits of computation to the practical issues of implementing computing systems in hardware and software, this discipline contain ...
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Recognizing and learning models of social exchange strategies for the regulation of social interactions in open agent societies
... multi-modal agent decision making model, called MADeM, in order to provide virtual agents with socially acceptable decisions, coordinated social be- haviors ...
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