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  1. Getting to Best: Efficiency versus Optimality in Negotiation.Elaine B. Hyder, Michael J. Prietula & Laurie R. Weingart - 2000 - Cognitive Science 24 (2):169-204.
    Negotiation between two individuals is a common task that typically involves two goals: maximize individual outcomes and obtain an agreement. However, research on the simplest negotiation tasks demonstrates that although naive subjects can be induced to improve their performance, they are often no more likely to achieve fully optimal solutions. The present study tested the prediction that a decrease in a particular type of argumentative behavior, substantiation, would result in an increase in optimal agreements. As substantiation behaviors depend primarily on (...)
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  • Negotiation, Persuasion and Argument.Chris Provis - 2004 - Argumentation 18 (1):95-112.
    Argument is often taken to deal with conflicting opinion or belief, while negotiation deals with conflicting goals or interests. It is widely accepted that argument ought to comply with some principles or norms. On the other hand, negotiation and bargaining involve concession exchange and tactical use of power, which may be contrasted with attempts to convince others through argument. However, there are cases where it is difficult to draw a clear distinction between bargaining and argument: notably cases where negotiators persuade (...)
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  • An argumentation-based approach for reasoning about trust in information sources.Leila Amgoud & Robert Demolombe - 2014 - Argument and Computation 5 (2-3):191-215.
    During a dialogue, agents exchange information with each other and need thus to deal with incoming information. For that purpose, they should be able to reason effectively about trustworthiness of information sources. This paper proposes an argument-based system that allows an agent to reason about its own beliefs and information received from other sources. An agent's beliefs are of two kinds: beliefs about the environment and beliefs about trusting sources . Six basic forms of trust are discussed in the paper (...)
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  • Audiences in argumentation frameworks.Trevor J. M. Bench-Capon, Sylvie Doutre & Paul E. Dunne - 2007 - Artificial Intelligence 171 (1):42-71.
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  • Shared Decision Making, Paternalism and Patient Choice.Lars Sandman & Christian Munthe - 2010 - Health Care Analysis 18 (1):60-84.
    In patient centred care, shared decision making is a central feature and widely referred to as a norm for patient centred medical consultation. However, it is far from clear how to distinguish SDM from standard models and ideals for medical decision making, such as paternalism and patient choice, and e.g., whether paternalism and patient choice can involve a greater degree of the sort of sharing involved in SDM and still retain their essential features. In the article, different versions of SDM (...)
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  • Negotiation as Practical Argumentation.Diego Castro - 2023 - Argumentation 37 (4):497-527.
    This paper defends negotiation as a way of rationally overcoming disagreements. Negotiation is a type of dialogue where the parties begin with a conflict and a need for cooperation, and their main goal is to make a deal as reported (Walton and Krabbe 1995, p 72). It has been discussed whether differences of opinion can be shifted from persuasion to negotiation dialogue. If two parties disagree, is it reasonable to overcome their disagreement by employing negotiation? Van Laar and Krabbe (2018a) (...)
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  • Representing and applying knowledge for argumentation in a social context.Chris Reed - 1997 - AI and Society 11 (1-2):138-154.
    The concept of argumentation in AI is based almost exclusively on the use of formal, abstract representations. Despite their appealing computational properties, these abstractions become increasingly divorced from their real world counterparts, and, crucially, lose the ability to express the rich gamut of natural argument forms required for creating effective text. In this paper, the demands that socially situated argumentation places on knowledge representation are explored, and the various problems with existing formalisations are discussed. Insights from argumentation theory and social (...)
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  • Dialogue games that agents play within a society.Nishan C. Karunatillake, Nicholas R. Jennings, Iyad Rahwan & Peter McBurney - 2009 - Artificial Intelligence 173 (9-10):935-981.
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  • Logical limits of abstract argumentation frameworks.Leila Amgoud & Philippe Besnard - 2013 - Journal of Applied Non-Classical Logics 23 (3):229-267.
    Dung’s (1995) argumentation framework takes as input two abstract entities: a set of arguments and a binary relation encoding attacks between these arguments. It returns acceptable sets of arguments, called extensions, w.r.t. a given semantics. While the abstract nature of this setting is seen as a great advantage, it induces a big gap with the application that it is used to. This raises some questions about the compatibility of the setting with a logical formalism (i.e., whether it is possible to (...)
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  • Reaching agreements through argumentation: a logical model and implementation.Sarit Kraus, Katia Sycara & Amir Evenchik - 1998 - Artificial Intelligence 104 (1-2):1-69.
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  • Methods for task allocation via agent coalition formation.Onn Shehory & Sarit Kraus - 1998 - Artificial Intelligence 101 (1-2):165-200.
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  • Negotiating using rewards.Sarvapali D. Ramchurn, Carles Sierra, Lluís Godo & Nicholas R. Jennings - 2007 - Artificial Intelligence 171 (10-15):805-837.
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  • The Concept of Negotiation in Shared Decision Making.Lars Sandman - 2009 - Health Care Analysis 17 (3):236-243.
    In central definitions of shared decision-making within medical consultations we find the concept of negotiation used to describe the interaction between patient and professional in case of conflict. It has been noted that the concept of negotiation is far from clear in this context and in other contexts it is used both in terms of rational deliberation and bargaining. The articles explores whether rational deliberation or bargaining accurately describes the negotiation in shared decision-making and finds that it fails to do (...)
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  • Resolving crises through automated bilateral negotiations.Sarit Kraus, Penina Hoz-Weiss, Jonathan Wilkenfeld, David R. Andersen & Amy Pate - 2008 - Artificial Intelligence 172 (1):1-18.
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  • Multiagent negotiation under time constraints.Sarit Kraus, Jonathan Wilkenfeld & Gilad Zlotkin - 1995 - Artificial Intelligence 75 (2):297-345.
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  • An overview of incentive contracting.Sarit Kraus - 1996 - Artificial Intelligence 83 (2):297-346.
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