The Conceptualization Of Counterfactuality In L1 And L2

Counterfactual thinking is a universal cognitive process in which reality is compared to an imagined view of what might have been. This type of reasoning is at the center of daily operations, as decision-making, risk preventability or blame assignment. More generally, non-factual scenarios have been defined as a crucial ingredient of desire and modern love. If the areas covered by this reasoning are so varied, the L2 learner will be led to express 'what might have been' at some point of her acquisitional itinerary. How is this reasoning expressed in French, Spanish and Italian? By the use of what lexical, syntactic and grammatical devices? Will the learner combine these devices as the native French speakers do? What are the L1 features likely to fossilize in the L2 grammar? What are the information principles governing a communicative task based on the production of counterfactual scenarios? These are some of the questions addressed by the present volume.

Counterfactual thinking is a universal cognitive process in which reality is compared to an imagined view of what might have been. This type of reasoning is at the center of daily operations, as decision-making, risk preventability or blame assignment. More generally, non-factual scenarios have been defined as a crucial ingredient of desire and modern love. If the areas covered by this reasoning are so varied, the L2 learner will be led to express 'what might have been' at some point of her acquisitional itinerary. How is this reasoning expressed in French, Spanish and Italian? By the use of what lexical, syntactic and grammatical devices? Will the learner combine these devices as the native French speakers do? What are the L1 features likely to fossilize in the L2 grammar? What are the information principles governing a communicative task based on the production of counterfactual scenarios? These are some of the questions addressed by the present volume.

Argumentation, which has long been a topic of study in philosophy, has become a well-established aspect of computing science in the last 20 years. This book presents the proceedings of the fifth conference on Computational Models of Argument (COMMA), held in Pitlochry, Scotland in September 2014. Work on argumentation is broad, but the COMMA community is distinguished by virtue of its focus on the computational and mathematical aspects of the subject. This focus aims to ensure that methods are sound – that they identify arguments that are correct in some sense – and provide an unambiguous specification for implementation; producing programs that reason in the correct way and building systems capable of natural argument or of recognizing argument. The book contains 24 long papers and 18 short papers, and the 21 demonstrations presented at the conference are represented in the proceedings either by an extended abstract or by association with another paper. The book will be of interest to all those whose work involves argumentation as it relates to artificial intelligence.

This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability and explainability in AI; weak and cautious supervised learning.

This book marks a new development in the field of grammaticalisation studies, in that it extends the field of grammaticalisation studies from relatively homogeneous languages to those possessing well-established and institutionalised second language varieties. In Hypothetical Modality, special reference is made to Singaporean English, a native-speaker L2 dialect of considerable importance in the South-East Asian region, and to the expression in the dialect of hypothetical modality, which appears to be indistinguishable from non-hypothetical modality in terms of the use of preterite or past forms of modal verbs. Within a grammaticalisation framework, a number of factors can be seen to be relevant to an explanation, including substratum and contact features such as tense/aspect marking, levels of lexical retention as an individual (psychological) phenomenon, and the fact that such dialects have a discontinuity in their development. In addition, the book defines pragmatic approaches to the understanding of hypothetical modality, in both diachronic and synchronic terms.

This book provides a critical overview of significant developments in research and theory on counterfactual thinking that have emerged in recent years and spotlights exciting new directions for future research in this area. Key issues considered include the relations between counterfactual and casual reasoning, the functional bases of counterfactual thinking, the role of counterfactual thinking in the experience of emotion and the importance of counterfactual thinking in the context of crime and justice.