Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds

We propose a computational model of situated language comprehension based on the Indexical Hypothesis that generates meaning representations by translating amodal linguistic symbols to modal representations of beliefs, knowledge, and experience external to the linguistic system. This Indexical Model incorporates multiple information sources, including perceptions, domain knowledge, and short-term and long-term experiences during comprehension. We show that exploiting diverse information sources can alleviate ambiguities that arise from contextual use of underspecific referring expressions and unexpressed argument alternations of verbs. The model is being used to support linguistic interactions in Rosie, an agent implemented in Soar that learns from instruction.Comment: Advances in Cognitive Systems 3 (2014

Exploiting Deep Semantics and Compositionality of Natural Language for Human-Robot-Interaction

We develop a natural language interface for human robot interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular and compositional framework of Embodied Construction Grammar (ECG) [Feldman, 2009]. Using ECG, robots are able to solve fine-grained reference resolution problems and other issues related to deep semantics and compositionality of natural language. This also includes verbal interaction with humans to clarify commands and queries that are too ambiguous to be executed safely. We implement our NLU framework as a ROS package and present proof-of-concept scenarios with different robots, as well as a survey on the state of the art

Team reasoning and a measure of mutual advantage in games

The game theoretic notion of best-response reasoning is sometimes criticized when its application produces multiple solutions of games, some of which seem less compelling than others. The recent development of the theory of team reasoning addresses this by suggesting that interacting players in games may sometimes reason as members of a team – a group of individuals who act together in the attainment of some common goal. A number of properties have been suggested for team-reasoning decision-makers’ goals to satisfy, but a few formal representations have been discussed. In this paper we suggest a possible representation of these goals based on the notion of mutual advantage. We propose a method for measuring extents of individual and mutual advantage to the interacting decision-makers, and define team interests as the attainment of outcomes associated with maximum mutual advantage in the games they play

Unified Pragmatic Models for Generating and Following Instructions

We show that explicit pragmatic inference aids in correctly generating and following natural language instructions for complex, sequential tasks. Our pragmatics-enabled models reason about why speakers produce certain instructions, and about how listeners will react upon hearing them. Like previous pragmatic models, we use learned base listener and speaker models to build a pragmatic speaker that uses the base listener to simulate the interpretation of candidate descriptions, and a pragmatic listener that reasons counterfactually about alternative descriptions. We extend these models to tasks with sequential structure. Evaluation of language generation and interpretation shows that pragmatic inference improves state-of-the-art listener models (at correctly interpreting human instructions) and speaker models (at producing instructions correctly interpreted by humans) in diverse settings.Comment: NAACL 2018, camera-ready versio

The Effectiveness of International Adjudicators

This chapter, in the Oxford Handbook of International Adjudication, provides an overview of the burgeoning literature on the effectiveness of international courts and tribunals (ICs). It considers four dimensions of effectiveness that have engendered debates among scholars or received insufficient scrutiny. The first dimension, case-specific effectiveness, evaluates whether the litigants to a specific dispute change their behavior following an IC ruling, an issue closely linked to compliance with IC judgments. The second variant, erga omnes effectiveness, assesses whether IC decisions have systemic precedential effects that influence the behavior of all states subject to a tribunal’s jurisdiction. The third approach, embeddedness effectiveness, evaluates the extent to which ICs anchor their judgments in domestic legal orders, enabling national actors to remedy potential treaty violations at home and avoid the need for international litigation. The fourth type, norm-development effectiveness, considers how IC decisions contribute to building a coherent body of international jurisprudence. For each type of effectiveness, the chapter reviews recent studies, identifies contested or under-analyzed issues, and suggests paths for future research

Restorative Justice-Informed Moral Acquaintance: Resolving the Dual Role Problem in Correctional and Forensic Practice

The issue of dual roles within forensic and correctional fields has typically been conceptualized as dissonance—experienced by practitioners— when attempting to adhere to the conflicting ethical requirements associated with client well-being and community protection. In this paper, we argue that the dual role problem should be conceptualized more broadly; to incorporate the relationship between the offender and their victim. We also propose that Restorative Justice (RJ) is able to provide a preliminary ethical framework to deal with this common ethical oversight. Furthermore, we unite the RJ framework with that of Ward’s (2013) moral acquaintance model to provide a more powerful approach—RJ informed moral acquaintance—aimed at addressing the ethical challenges faced by practitioners within forensic and correctional roles

Reconsidering Resolutions

In Willing, Wanting, Waiting, Richard Holton lays out a detailed account of resolutions, arguing that they enable agents to resist temptation. Holton claims that temptation often leads to inappropriate shifts in judgment, and that resolutions are a special kind of first- and second-order intention pair that blocks such judgment shift. In this paper, I elaborate upon an intuitive but underdeveloped objection to Holton’s view – namely, that his view does not enable agents to successfully block the transmission of temptation in the way that he claims, because the second-order intention is as equally susceptible to temptation as the first-order intention alone would be. I appeal to independently compelling principles – principles that Holton should accept, because they help fill an important explanatory gap in his account – to demonstrate why this objection succeeds. This argument both shows us where Holton’s view goes wrong and points us to the kind of solu-tion we need. In conclusion, I sketch an alternative account of resolutions as a first-order intention paired with a second-order desire. I argue that my account is not susceptible to the same objection because a temptation that cannot be blocked by an intention can be blocked by a desire