Descriptivity grading of finnish body-part terms

Three quantificational approaches to the measurement of lexical descriptivity are proposed, based on: the semantic sum of the parts of a lexeme is equal to the whole, paraphrase-term and term-paraphrase congruence, explicitness of semantic elements of a construction. Combination of all possible values into tripartite sets and then into equipollent groups results in a system composed of 12 grades. This system was tested with a semantic domain of the Finnish lexicon: body-part terms. The descriptivity indices for each lexical item were correlated with natural divisions of the body, construction-motivation types (form, function, location), grammatical construction types (endo- and exocentric compounds, derived forms, metaphors), and loanwords. These comparisons result in a number of grade profiles whereby specific descriptivity grades are characteristically associated with one or more types of body section, construction motivation, and grammatical construction. Diachronic and synchronic evidence points overwhelmingly to a process of semantic narrowing in the development of descriptive words and labels from phrases or sentences

Descriptivity in the domain of body-part terms

In an earlier paper, I proposed a system for evaluating the relative descriptivity of lexical items in a consistent manner in terms of the interrelations of three metrics. The first of these, including five possible degrees of descriptivity, is based on the premise that the sum of the meaningful parts of a given form is or is not equal to the meaning of the whole. The second, also composed of five degrees, is based on paraphrase-term relations in which the logical quantifiers: all, some and no, are applied to the terms of the paraphrase in one test and to the meaningful parts of the term (linguistic form) in the reversibility test. Both tests are applied in the form of logical propositions. The third metric, with three degrees, deals with the relative explicitness of the meaningful parts of a given form: explicit, implicit or neither. […] This system was then tested in a pilot study involving the fairly limited and semantically homogeneous lexical domain of body-part terms in a specific language, Finnish. The purpose of the present paper is to subject comparable data from other languages to the same kind of analysis and compare the results in order to ascertain whether the generalizations arrived at with the Finnish data also hold for the other languages or, more specifically, which of these generalizations are more or less universal and which language or language-type specific? The additional languages to be examined here are: French, German, Ewe, Maasai and Swahili

Development of a Strategic Approach for a Single EU Beef Market. Extensification. An Analysis of National and Competitive Issues

Working paperThe economic merits of the two Options for extensification under Agenda 2000 were evaluated in relation to their ability to generate revenue and their impact on the competitiveness of Irish cattle farming

POLICY options

End of project reportThe incomes of Irish cattle farmers benefited greatly from the reform of the CAP for beef and cereals in 1992 and more recently under Agenda 2000. In both of these reforms the institutional support prices were reduced and animal-based direct payments (DPs) were used to compensate farmers for the anticipated market price reductions

The impact of feed resource costs on the relative competitiveness of beef with other meats

End of year reportThese reforms represented a major turning point in fundamental structure of EU agricultural policy. This, at the time of implementation, created much uncertainty at both institutional and farm level in relation to future feed resource costs, cattle and beef prices and related market outlooks. However, as this report shows, the reality for Irish cattle farmers was rather different. As a result much of the research effort during the lifespan of the project was diverted to explaining the causes of the unforeseen outcomes together with the implications of policy decisions and related market developments

How to advance general game playing artificial intelligence by player modelling

7 pagesGeneral game playing artificial intelligence has recently seen important advances due to the various techniques known as 'deep learning'. However the advances conceal equally important limitations in their reliance on: massive data sets; fortuitously constructed problems; and absence of any human-level complexity, including other human opponents. On the other hand, deep learning systems which do beat human champions, such as in Go, do not generalise well. The power of deep learning simultaneously exposes its weakness. Given that deep learning is mostly clever reconfigurations of well-established methods, moving beyond the state of art calls for forward-thinking visionary solutions, not just more of the same. I present the argument that general game playing artificial intelligence will require a generalised player model. This is because games are inherently human artefacts which therefore, as a class of problems, contain cases which require a human-style problem solving approach. I relate this argument to the performance of state of art general game playing agents. I then describe a concept for a formal category theoretic basis to a generalised player model. This formal model approach integrates my existing 'Behavlets' method for psychologically-derived player modelling: Cowley, B., Charles, D. (2016). Behavlets: a Method for Practical Player Modelling using Psychology-Based Player Traits and Domain Specific Features. User Modeling and User-Adapted Interaction, 26(2), 257-306.Non peer reviewe

Adaptive Artificial Intelligence in Games : Issues, Requirements, and a Solution through Behavlets-based General Player Modelling

8 pages, 1 figureWe present the last of a series of three academic essays which deal with the question of how and why to build a generalized player model. We propose that a general player model needs parameters for subjective experience of play, including: player psychology, game structure, and actions of play. Based on this proposition, we pose three linked research questions: RQ1 what is a necessary and sufficient foundation to a general player model?; RQ2 can such a foundation improve performance of a computational intelligence- based player model?; and RQ3 can such a player model improve efficacy of adaptive artificial intelligence in games? We set out the arguments behind these research questions in each of the three essays, presented as three preprints. The third essay, in this preprint, presents the argument that adaptive game artificial intelligence will be enhanced by a generalised player model. This is because games are inherently human artefacts which therefore, require some encoding of the human perspective in order to effectively autonomously respond to the individual player. The player model informs the necessary constraints on the adaptive artificial intelligence. A generalised player model is not only more efficient than a per-game solution, but also allows comparison between games which makes it a useful tool for studying play in general. We describe the concept and meaning of an adaptive game. We propose requirements for functional adaptive AI, arguing from first principles drawn from the games research literature. We propose solutions to these requirements, based on a formal model approach to our existing 'Behavlets' method for psychologically-derived player modelling: Cowley, B., & Charles, D. (2016). Behavlets: a Method for Practical Player Modelling using Psychology-Based Player Traits and Domain Specific Features. User Modeling and User-Adapted Interaction, 26(2), 257-306.Non peer reviewe

Costs of cereal production in Ireland and selected EU member states

End of Project ReportThis study investigates the costs of production and producers margins for barley and wheat production in Ireland and some other EU member states. Ireland is compared with Germany, Denmark, France (for wheat only), the UK and Italy. The data used was from the Farm Accounts Data Network (FADN) of the EU and relates to the calendar year 1998. It is derived from specialist producers in the Cereals, Oilseeds and Protein (COP) sector

Development of a Strategic Approach for a Single EU Beef Market: An Evaluation of Changes in the EU Intervention system and Labelling Regulations in Relation to Irish Cattle Prices.

Working PaperEnd of Project ReportThe intervention system for beef in the EU has undergone major changes since its inception. These changes were introduced because of changing circumstances in the EU beef market and because of cost factors and inefficiencies associated with and arising from the intervention system itself. While justified from these perspectives it can be said that from the perspective of beef producers the system has changed from being a mechanism which aimed at and operated to achieve a producer Guide Price which in turn was defined as “……..the price which it is hoped to attain on average on the Community market for all the quantities marketed during a given marketing year” (Com 370, July 1976) to one which has abandoned all efforts at achieving a desirable producer price and which provides at best very short term stabilisation of price at its market level. The aim of this paper is to trace the major changes which have occurred to the intervention system and the concomitant price achievement of beef in general in the EU and especially that of Irish beef. These changes together with other market and policy factors occurring on and since 1996 have combined to give a historically poor price performance for Irish beef which despite the growing importance of direct payments is still of major significance in the incomes and welfare of beef producers