A Relational Hierarchical Model for Decision-Theoretic Assistance

Building intelligent assistants has been a long-cherished goal of AI, and many were built and fine-tuned to specific application domains. In recent work, a domain-independent decision-theoretic model of assistance was proposed, where the task is to infer the user’s goal and take actions that minimize the expected cost of the user’s policy. In this paper, we extend this work to domains where the user’s policies have rich relational and hierarchical structure. Our results indicate that relational hierarchies allow succinct encoding of prior knowledge for the assistant, which in turn enables the assistant to start helping the user after a relatively small amount of experience.This is the author's peer-reviewed final manuscript dated June 5, 2011, as accepted by the publisher. The published article is copyrighted by Springer and can be found at: http://www.springer.com/computer/information+systems+and+applications/journal/10115.Keywords: Decision-theory, Intelligent assistants, Graphical models, Inferenc

Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model

Assistive systems for persons with cognitive disabilities (e.g. dementia) are difficult to build due to the wide range of different approaches people can take to accomplishing the same task, and the significant uncertainties that arise from both the unpredictability of client's behaviours and from noise in sensor readings. Partially observable Markov decision process (POMDP) models have been used successfully as the reasoning engine behind such assistive systems for small multi-step tasks such as hand washing. POMDP models are a powerful, yet flexible framework for modelling assistance that can deal with uncertainty and utility. Unfortunately, POMDPs usually require a very labour intensive, manual procedure for their definition and construction. Our previous work has described a knowledge driven method for automatically generating POMDP activity recognition and context sensitive prompting systems for complex tasks. We call the resulting POMDP a SNAP (SyNdetic Assistance Process). The spreadsheet-like result of the analysis does not correspond to the POMDP model directly and the translation to a formal POMDP representation is required. To date, this translation had to be performed manually by a trained POMDP expert. In this paper, we formalise and automate this translation process using a probabilistic relational model (PRM) encoded in a relational database. We demonstrate the method by eliciting three assistance tasks from non-experts. We validate the resulting POMDP models using case-based simulations to show that they are reasonable for the domains. We also show a complete case study of a designer specifying one database, including an evaluation in a real-life experiment with a human actor

Methodological Interactionism: Theory and Application to the Firm and to the Building of Trust

Recent insights from the ‘embodied cognition’ perspective in cognitive science, supported by neural research, provide a basis for a ‘methodological interactionism’ that transcends both the methodological individualism of economics and the methodological collectivism of (some) sociology, and is consistent with insights from social psychology. It connects with a Mengerian exchange perspective and Hayekian view of dispersed knowledge from Austrian economics. It provides a basis for a new, unified social science that integrates elements from economics, sociology, social psychology and cognitive science. This paper discusses the roots of this perspective, in theory of cognition and meaning, and illustrates its application in a summary of a social-cognitive theory of the firm and an analysis of processes by which trust is built up and broken down.methodology;philosophy of economics;theory of the firm;trust

ILR Research in Progress 2006-07

The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Research_in_Progress_2006_07.pdf: 18 downloads, before Oct. 1, 2020