Human-Agent Decision-making: Combining Theory and Practice

Extensive work has been conducted both in game theory and logic to model strategic interaction. An important question is whether we can use these theories to design agents for interacting with people? On the one hand, they provide a formal design specification for agent strategies. On the other hand, people do not necessarily adhere to playing in accordance with these strategies, and their behavior is affected by a multitude of social and psychological factors. In this paper we will consider the question of whether strategies implied by theories of strategic behavior can be used by automated agents that interact proficiently with people. We will focus on automated agents that we built that need to interact with people in two negotiation settings: bargaining and deliberation. For bargaining we will study game-theory based equilibrium agents and for argumentation we will discuss logic-based argumentation theory. We will also consider security games and persuasion games and will discuss the benefits of using equilibrium based agents.Comment: In Proceedings TARK 2015, arXiv:1606.0729

E-Commerce Oriented Human-Computer Negotiation Strategy Model

Human-computer negotiation plays an important role in B2C e-commerce. There is a paucity of further scientific investigation and a pressing need on designing the software agent that can deal with the human’s random and dynamic offer, which is crucially useful in human-computer negotiation to achieve better online negotiation outcomes. The lack of such studies has decelerated the process of applying automated negotiation to real world applications. To address the critical issue, this paper develops a strategy concession model.The theoretical model and algorithm of the combined strategy were developed. To demonstrate the effectiveness of this model, we implement a prototype and conduct human-computer negotiations over 121 subjects. The experimental analysis not only confirms our model’s effect but also reveals some insights into future work about human-computer negotiation systems

Coordinating negotiations in data-intensive collaborative working environments using an agent-based model-driven platform

This paper tackles the interoperability problems of enterprise information systems by presenting a distributive model-driven platform for parallel coordination of multiple negotiations in data-intensive collaborative working environments. The proposed model was validated and verified by an industrial application scenario within the European research project H2020 C2NET (Cloud Collaborative Manufacturing Networks). This real scenario developed data-intensive collaborative and cloud-enabled tools that allow the optimisation of the supply network of manufacturing SMEs, proposing a negotiation solution based on a model-driven interoperable decentralised architecture.info:eu-repo/semantics/acceptedVersio

Strategic dialogue management via deep reinforcement learning

Artificially intelligent agents equipped with strategic skills that can negotiate during their interactions with other natural or artificial agents are still underdeveloped. This paper describes a successful application of Deep Reinforcement Learning (DRL) for training intelligent agents with strategic conversational skills, in a situated dialogue setting. Previous studies have modelled the behaviour of strategic agents using supervised learning and traditional reinforcement learning techniques, the latter using tabular representations or learning with linear function approximation. In this study, we apply DRL with a high-dimensional state space to the strategic board game of Settlers of Catan---where players can offer resources in exchange for others and they can also reply to offers made by other players. Our experimental results report that the DRL-based learnt policies significantly outperformed several baselines including random, rule-based, and supervised-based behaviours. The DRL-based policy has a 53% win rate versus 3 automated players (`bots'), whereas a supervised player trained on a dialogue corpus in this setting achieved only 27%, versus the same 3 bots. This result supports the claim that DRL is a promising framework for training dialogue systems, and strategic agents with negotiation abilities

Individual and Structural Orientations in Socially Just Teaching: Conceptualization, Implementation, and Collaborative Effort

This essay, drawn from theory, research, and the author’s practitioner research as a teacher educator, proposes a framework to inform teacher educators’ conceptualization and implementation of socially just teaching. The framework suggests that building on dispositions of fairness and the belief that all children can learn, a socially just teacher will engage in professional reflection and judgment using both an individual and a structural orientation to analyze the students’ academic difficulties and determine the cause and the solution to those difficulties, realizing that both individual and structural realities affect students’ learning. The essay then suggests how this individual and structural framework can inform the content and teaching strategies teacher educators use to instruct preservice teachers in socially just education. Finally, recommendations for research and dialogue in the teacher education community are suggested

Dynamic Multi-Agent Based Variety Formation and Steering in Mass Customization

Large product variety in mass customization involves a high internal complexity level inside a company’s operations, as well as a high external complexity level from a customer’s perspective. To cope with both complexity problems, an information system based on agent technology is able to be identified as a suitable solution approach. The mass customized products are assumed to be based on a modular architecture and each module variant is associated with an autonomous rational agent. Agents have to compete with each other in order to join coalitions representing salable product variants which suit real customers’ requirements. The negotiation process is based on a market mechanism supported by the target costing concept and a Dutch auction. Furthermore, in order to integrate the multi-agent system in the existing information system landscape of the mass customizer, a technical architecture is proposed and a scenario depicting the main communication steps is specified.Product Configuration, Mass Customization, Variety Formation and Steering, Multi Agent System

Elementary Teachers’ Ideologies On The Experience Of A Mixed-Race Student

With bi/multi-racial students existing within a nebulous racial categorization that has been historically defined to support an economic agenda, creating a positive self-identity for students in this group can be challenging. This article examined those challenges by exploring the reflections of elementary level teachers’ classroom practices and perceptions of the collective elementary educational experience of one bi-racial student in a southeastern U.S. public school

A European research agenda for lifelong learning

It is a generally accepted truth that without a proper educational system no country will prosper, nor will its inhabitants. With the arrival of the post-industrial society, in Europe and elsewhere, it has become increasingly clear that people should continue learning over their entire life-spans lest they or their society suffer the dire consequences. But what does this future lifelong learning society exactly look like? And how then should education prepare for it? What should people learn and how should they do so? How can we afford to pay for all this, what are the socio-economic constraints of the move towards a lifelong-learning society? And, of course, what role can and should the educational establishment of schools and universities play? This are questions that demand serious research efforts, which is what this paper argues for

Human-Agent Negotiations: The Impact Agents’ Concession Schedule and Task Complexity on Agreements

Employment of software agents for conducting negotiations with online customers promises to increase the flexibility and reach of the exchange mechanism and reduce transaction costs. Past research had suggested different negotiation tactics for the agents, and had used them in experimental settings against human negotiators. This work explores the interaction between negotiation strategies and the complexity of the negotiation task as represented by the number of negotiation issues. Including more issues in a negotiation potentially allows the parties more space to maneuver and, thus, promises higher likelihood of agreement. In practice, the consideration of more issues requires higher cognitive effort, which could have a negative effect on reaching an agreement. The results of human–agent negotiation experiments conducted at a major Canadian university revealed that there is an interaction between chosen strategy and task complexity. Also, when competitive strategy was employed, the agents\u27 utility was the highest. Because competitive strategy resulted in fewer agreements the average utility per agent was the highest in the compromising–competitive strategy

Privacy Issues Affecting Employers, Employees, and Labor Organizations

Privacy issues arise regularly in employment environments. Employers frequently assert privacy rights when denying non-employee union organizers access to employment premises and limiting the distribution of union literature or the solicitation of authorization cards by current employees. On the other hand, when employers desire to monitor employee computer usage on firm computers to be sure they are not accessing inappropriate sites or engaging in other inappropriate electronic behavior, they give short shrift to employee privacy claims. When employer premises are open to the general public, non-employee access to external areas such as parking lots might provide an appropriate accommodation between the property rights of employers and the statutory rights of employees and labor organizations. Since Internet access may be used to assist unions to communicate with employees being organized or to allow employees to communicate with each other regarding union organizing or other work related issues, this avenue of communication should not be denied to employees if they are otherwise permitted to use employer provided Internet service for non-work related purposes