scholarly journals Understanding Hunting Constraints and Negotiation Strategies: A Typology of Female Hunters

2015 ◽  
Vol 20 (1) ◽  
pp. 30-46 ◽  
Author(s):  
Elizabeth Covelli Metcalf ◽  
Alan R. Graefe ◽  
Nate E. Trauntvein ◽  
Robert C. Burns
Keyword(s):  
Negotiation Strategies

Language learning through an intersectional lens: Gender, migrant status, and gain in symbolic capital for Syrian refugee women in Turkey

Multilingua ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Susan Beth Rottmann ◽  
Maissam Nimer
Keyword(s):  
Language Learning ◽  
Symbolic Capital ◽  
Social Contexts ◽  
Power Dynamics ◽  
Negotiation Strategies ◽  
Linguistic Resources ◽  
Syrian Refugee ◽  
Perspective Drawing ◽  
Language Classes ◽  
Learning Language

AbstractThis paper sheds light on Syrian refugee women’s negotiation strategies in language learning classrooms and in their broader social contexts from an intersectional perspective. Drawing on in-depth interviews and focus groups complemented by participatory observation in language classes, we use a post-structuralist approach to examine gendered language socialization. Our research combines an intersectional framework and a Bourdieusian perspective on symbolic capital to show how women perform gender and negotiate their roles in classrooms, within families and vis-à-vis the host society. The findings demonstrate that being a woman and a migrant presents particular challenges in learning language. At the same time, learning language allows for the re-negotiation of gender relations and power dynamics. We find that gender structures women’s access to linguistic resources and interactional opportunities as they perform language under social pressure to conform to prescribed roles as mothers, wives and virtuous, and shy women. Yet, these roles are not static: gender roles are also reconstituted in the process of language learning and gaining symbolic capital.

scholarly journals ANEGMA: an automated negotiation model for e-markets

2021 ◽  
Vol 35 (2) ◽  
Author(s):  
Pallavi Bagga ◽  
Nicola Paoletti ◽  
Bedour Alrayes ◽  
Kostas Stathis
Keyword(s):  
Reinforcement Learning ◽  
Deep Neural Network ◽  
Automated Negotiation ◽  
Learning To Learn ◽  
Negotiation Model ◽  
Negotiation Strategies ◽  
Exploration Time ◽  
Model Free ◽  
Bilateral Negotiations ◽  
Time Required

AbstractWe present a novel negotiation model that allows an agent to learn how to negotiate during concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an actor-critic architecture with model-free reinforcement learning to learn a strategy expressed as a deep neural network. We pre-train the strategy by supervision from synthetic market data, thereby decreasing the exploration time required for learning during negotiation. As a result, we can build automated agents for concurrent negotiations that can adapt to different e-market settings without the need to be pre-programmed. Our experimental evaluation shows that our deep reinforcement learning based agents outperform two existing well-known negotiation strategies in one-to-many concurrent bilateral negotiations for a range of e-market settings.

The Moscow Theater Hostage Crisis: The Perpetrators, their Tactics, and the Russian Response

2003 ◽  
Vol 8 (3) ◽  
pp. 577-611 ◽  
Author(s):  
Richard Pilch ◽  
Adam Dolnik
Keyword(s):  
International Debate ◽  
Negotiation Strategies ◽  
Crisis Negotiation ◽  
Hostage Crisis ◽  
The Future ◽  
Analytical Perspective ◽  
Potential Impact ◽  
Media Event ◽  
Successes And Failures

AbstractThe Moscow theater hostage crisis was a spectacular media event, which sparked a wide domestic and international debate concerning the appropriateness of the Russian response. This article attempts to reconstruct and assess the events that took place in terms of negotiability of the incident, and seeks to provide an analytical perspective on the possible alternatives that were available to the Russian authorities throughout the crisis. Part I provides a brief overview of the events that unfolded. This section of the article also places Chechen motivations behind the incident into perspective with regard to past Chechen operations and to their overall strategy. Part II focuses on the details of the attack itself, particularly the Russian response. Special attention is devoted to analyzing the successes and failures of both the negotiations and the tactical assault. The conclusion discusses the implications of the Moscow theater incident for the future, including its potential impact on the likelihood of success of crisis negotiation strategies and the future tactics of the Chechen rebels.

Gender differences in anticipated pay negotiation strategies and outcomes

1994 ◽  
Vol 9 (2) ◽  
pp. 183-197 ◽  
Author(s):  
Vicki S. Kaman ◽  
Charmine E. J. Hartel
Keyword(s):  
Gender Differences ◽  
Negotiation Strategies

Bridging the gap between interpersonal thought and action in early adolescence: The role of psychodynamic processes

1989 ◽  
Vol 1 (2) ◽  
pp. 133-152 ◽  
Author(s):  
Lynn Hickey Schultz ◽  
Robert L. Selman
Keyword(s):  
Defense Mechanisms ◽  
Object Representation ◽  
Real Life ◽  
Main Hypothesis ◽  
Relative Level ◽  
Negotiation Strategies ◽  
Action Mechanisms ◽  
Urban Public School ◽  
Developmental Analysis

AbstractThis study examines the relations among style and development level of four interpersonal and intrapsychic processes: interpersonal thought, self-reported interpersonal action, mechanisms of defense, and object representation. Subjects were 25 girls and 25 boys from the eighth grade of an urban public school System. All four constructs were measured along developmental and stylistic dimensions. Both interpersonal thought and self-reported action processes were measured with the hypothetical and real-life interpersonal negotiation strategies interviews of Selman and colleagues. Defensive process was measured with a questionnaire revised to include Vaillant's developmental analysis of defense mechanisms as well as assessment of style of defense (internalizing vs. externalizing). Object representation style and level were measured with constructs and instruments of Blatt and colleagues. The results supported the main hypothesis: Levels of defense mechanisms and object representation independently predicted level of self-reported interpersonal action, even when controlling for level of interpersonal thought (which also predicted action). This suggests that if there are gaps between interpersonal thought and action levels, the relative level of maturity of psychodynamic processes helps explain action level. In contrast, there were few relationships among the stylistic components of the four constructs, although each style construct was related to its associated level construct. Contrary to hypotheses, no gender differences were found on any of the composited level or style variables. The study suggests operational links between structural-developmental and psychodynamic aspects of personality.

scholarly journals A Faithful Mechanism for Incremental Multi-Agent Agreement Problems with Self-Interested and Privacy-Preserving Agents

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Farzaneh Farhadi ◽  
Nicholas R. Jennings
Keyword(s):  
Information Leakage ◽  
Optimal Strategies ◽  
Privacy Preserving ◽  
Limited Attention ◽  
Limited Information ◽  
Multi Agent Systems ◽  
Negotiation Strategies ◽  
Multi Agent ◽  
Theoretical And Numerical Analysis ◽  
Negotiation Mechanism

AbstractDistributed multi-agent agreement problems (MAPs) are central to many multi-agent systems. However, to date, the issues associated with encounters between self-interested and privacy-preserving agents have received limited attention. Given this, we develop the first distributed negotiation mechanism that enables self-interested agents to reach a socially desirable agreement with limited information leakage. The agents’ optimal negotiation strategies in this mechanism are investigated. Specifically, we propose a reinforcement learning-based approach to train agents to learn their optimal strategies in the proposed mechanism. Also, a heuristic algorithm is designed to find close-to-optimal negotiation strategies with reduced computational costs. We demonstrate the effectiveness and strength of our proposed mechanism through both game theoretical and numerical analysis. We prove theoretically that the proposed mechanism is budget balanced and motivates the agents to participate and follow the rules faithfully. The experimental results confirm that the proposed mechanism significantly outperforms the current state of the art, by increasing the social-welfare and decreasing the privacy leakage.

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