Practical strategies for agent-based negotiation in complex environments

Agent-based negotiation, whereby the negotiation is automated by software programs, can be applied to many different negotiation situations, including negotiations between friends, businesses or countries. A key benefit of agent-based negotiation over human negotiation is that it can be used to negotiate effectively in complex negotiation environments, which consist of multiple negotiation issues, time constraints, and multiple unknown opponents. While automated negotiation has been an active area of research in the past twenty years, existing work has a number of limitations. Specifically, most of the existing literature has considered time constraints in terms of the number of rounds of negotiation that take place. In contrast, in this work we consider time constraints which are based on the amount of time that has elapsed. This requires a different approach, since the time spent computing the next action has an effect on the utility of the outcome, whereas the actual number of offers exchanged does not. In addition to these time constraints, in the complex negotiation environments which we consider, there are multiple negotiation issues, and we assume that the opponents’ preferences over these issues and the behaviour of those opponents are unknown. Finally, in our environment there can be concurrent negotiations between many participants.Against this background, in this thesis we present the design of a range of practical negotiation strategies, the most advanced of which uses Gaussian process regression to coordinate its concession against its various opponents, whilst considering the behaviour of those opponents and the time constraints. In more detail, the strategy uses observations of the offers made by each opponent to predict the future concession of that opponent. By considering the discounting factor, it predicts the future time which maximises the utility of the offers, and we then use this in setting our rate of concession.Furthermore, we evaluate the negotiation agents that we have developed, which use our strategies, and show that, particularly in the more challenging scenarios, our most advanced strategy outperforms other state-of-the-art agents from the Automated Negotiating Agent Competition, which provides an international benchmark for this work. In more detail, our results show that, in one-to-one negotiation, in the highly discounted scenarios, our agent reaches outcomes which, on average, are 2.3% higher than those of the next best agent. Furthermore, using empirical game theoretic analysis we show the robustness of our strategy in a variety of tournament settings. This analysis shows that, in the highly discounted scenarios, no agent can benefit by choosing a different strategy (taken from the top four strategies in that setting) than ours. Finally, in the many-to-many negotiations, we show how our strategy is particularly effective in highly competitive scenarios, where it outperforms the state-of-the-art many-to-many negotiation strategy by up to 45%

Beyond capitalocentricism: are non-capitalist work practices "alternatives"?

It is widely believed that there is no alternative to capitalism. Over the last two decades however, the critical geography literature on diverse economies has demonstrated the existence of alternatives to capitalism by revealing the persistence of non-capitalist forms of work and organisation. The aim in this paper is to question the validity and usefulness of continuing to frame these non-capitalist practices as "alternatives". Positioning non-capitalist economic practices as “alternatives” fails to capture not only the ubiquity of such practices in everyday life, but also how those engaging do not see them as “alternatives” in the sense of a second choice, or less desirable option, to capitalist practices. The intention in doing so is to reveal that it is not non-capitalist practices that are “alternative” but rather, capitalist practices themselves, thus opening up the future to the possibility of a non-capitalist world more fully than has so far been the case. Key words: Economic geography qualitative UK capitalism diverse economies community self-hel

Practical strategies for agent-based negotiation in complex environments

Agent-based negotiation, whereby the negotiation is automated by software programs, can be applied to many different negotiation situations, including negotiations between friends, businesses or countries. A key benefit of agent-based negotiation over human negotiation is that it can be used to negotiate effectively in complex negotiation environments, which consist of multiple negotiation issues, time constraints, and multiple unknown opponents. While automated negotiation has been an active area of research in the past twenty years, existing work has a number of limitations. Specifically, most of the existing literature has considered time constraints in terms of the number of rounds of negotiation that take place. In contrast, in this work we consider time constraints which are based on the amount of time that has elapsed. This requires a different approach, since the time spent computing the next action has an effect on the utility of the outcome, whereas the actual number of offers exchanged does not. In addition to these time constraints, in the complex negotiation environments which we consider, there are multiple negotiation issues, and we assume that the opponents’ preferences over these issues and the behaviour of those opponents are unknown. Finally, in our environment there can be concurrent negotiations between many participants. Against this background, in this thesis we present the design of a range of practical negotiation strategies, the most advanced of which uses Gaussian process regression to coordinate its concession against its various opponents, whilst considering the behaviour of those opponents and the time constraints. In more detail, the strategy uses observations of the offers made by each opponent to predict the future concession of that opponent. By considering the discounting factor, it predicts the future time which maximises the utility of the offers, and we then use this in setting our rate of concession. Furthermore, we evaluate the negotiation agents that we have developed, which use our strategies, and show that, particularly in the more challenging scenarios, our most advanced strategy outperforms other state-of-the-art agents from the Automated Negotiating Agent Competition, which provides an international benchmark for this work. In more detail, our results show that, in one-to-one negotiation, in the highly discounted scenarios, our agent reaches outcomes which, on average, are 2.3% higher than those of the next best agent. Furthermore, using empirical game theoretic analysis we show the robustness of our strategy in a variety of tournament settings. This analysis shows that, in the highly discounted scenarios, no agent can benefit by choosing a different strategy (taken from the top four strategies in that setting) than ours. Finally, in the many-to-many negotiations, we show how our strategy is particularly effective in highly competitive scenarios, where it outperforms the state-of-the-art many-to-many negotiation strategy by up to 45%.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Exchange beyond the market

Everything that standard management and business textbooks talk about - production, buying, selling, workplace, motivation, structuring your business - takes place strictly in the context of the market. Businesses are established, people are hired, services and goods are sold and then the money is counted. This is a very simplified sequence of activities, but that is largely what would be covered in most management courses. However, even in the most money-driven settings there are many activities that take place and are not reducible to money. Think of when people work overtime just because of a sense of duty or care, give advice without asking anything in return, or break the rules in order to help a customer. What is common to all these examples is that they might generate value, but they are not motivated by the generation of value (see chapter ten). In fact, caring for others, voluntary work and gift giving happen all around us and are at the centre of everyday life. It should not surprise us then that they happen in for-profit organisations too, as ordinary people ignore money and act, either individually or in groups, in ways that support each other. In this chapter, we will discuss how a lot of everyday economic life is practically anarchist, or rather, that we very often live like anarchists, even if we are encouraged not to

Mortality in the USA, the UK and Other Western Countries, 1989-2015: What Is Wrong With the US?

This population-based study compares U.S. effectiveness with 20 Other Western Countries (OWC) in reducing mortality 1989-1991 and 2013-2015 and, responding to criticisms of Britain's National Health Service, directly compares U.S. with U.K. child (0-4), adult (55-74), and 24 global mortality categories. World Health Organization Age-Standardized Death Rates (ASDR) data are used to compare American and OWC mortality over the period, juxtaposed against national average percentages of Gross Domestic Product (GDP) Expenditure on Health (%GDPEH) drawn from World Bank data. America's average %GDPEH was highest at 13.53% and Britain's the lowest at 7.68%. Every OWC had significantly greater ASDR reductions than America. Current U.S. child and adult mortality rates are 46% and 19% higher than Britain's. Of 24 global diagnostic mortalities, America had 16 higher rates than Britain, notably for Circulatory Disease (24%), Endocrine Disorders (70%), External Deaths (53%), Genitourinary (44%), Infectious Disease (65%), and Perinatal Deaths (34%). Conversely, U.S. rates were lower than Britain's for Neoplasms (11%), Respiratory (12%), and Digestive Disorder Deaths (11%). However, had America matched the United Kingdom's ASDR, there would have been 488,453 fewer U.S. deaths. In view of American %GDPHE and their mortality rates, which were significantly higher than those of the OWC, these results suggests that the U.S. health care system is the least efficient in the Western world

Pro and Contra Dances

Kennesaw State University presents Pro and Contra Dances featuring the Atlanta Symphony Brass Quintet.https://digitalcommons.kennesaw.edu/musicprograms/1742/thumbnail.jp

Atlanta Symphony Brass Quintet

Kennesaw State University School of Music presents the Atlanta Symphony Brass Quintet.https://digitalcommons.kennesaw.edu/musicprograms/1659/thumbnail.jp

Hydraulic validation of two-dimensional simulations of braided river flow with spatially continuous aDcp data

Gravel‐bed braided rivers are characterized by shallow, branching flow across low relief, complex, and mobile bed topography. These conditions present a major challenge for the application of higher dimensional hydraulic models, the predictions of which are nevertheless vital to inform flood risk and ecosystem management. This paper demonstrates how high‐resolution topographic survey and hydraulic monitoring at a density commensurate with model discretization can be used to advance hydrodynamic simulations in braided rivers. Specifically, we detail applications of the shallow water model, Delft3d, to the Rees River, New Zealand, at two nested scales: a 300 m braid bar unit and a 2.5 km reach. In each case, terrestrial laser scanning was used to parameterize the topographic boundary condition at hitherto unprecedented resolution and accuracy. Dense observations of depth and velocity acquired from a mobile acoustic Doppler current profiler (aDcp), along with low‐altitude aerial photography, were then used to create a data‐rich framework for model calibration and testing at a range of discharges. Calibration focused on the estimation of spatially uniform roughness and horizontal eddy viscosity, νH, through comparison of predictions with distributed hydraulic data. Results revealed strong sensitivity to νH, which influenced cross‐channel velocity and localization of high shear zones. The high‐resolution bed topography partially accounts for form resistance, and the recovered roughness was found to scale by 1.2–1.4 D84 grain diameter. Model performance was good for a range of flows, with minimal bias and tight error distributions, suggesting that acceptable predictions can be achieved with spatially uniform roughness and νH.Field campaigns were primarily funded by NERC Grant NE/G005427/1 and NERC Geophysical Equipment Facility Loan 892 as well as NSERC and CFI (Canada) grants to Colin Rennie. Damia Vericat was supported by a Ramon y Cajal Fellowship (RYC‐2010‐06264) funded by the Spanish Ministry of Science and Innovation during the preparation of this manuscript. Numerical simulations were undertaken during a visit by Richard Williams to NIWA. This visit was funded by the British Hydrology Society and an Aberystwyth University Postgraduate Studentship. Murray Hicks and Richard Measures were funded by NIWA core funding under the Sustainable Water Allocation Programme