Mechanisms for Automated Negotiation in State Oriented Domains

This paper lays part of the groundwork for a domain theory of negotiation, that is, a way of classifying interactions so that it is clear, given a domain, which negotiation mechanisms and strategies are appropriate. We define State Oriented Domains, a general category of interaction. Necessary and sufficient conditions for cooperation are outlined. We use the notion of worth in an altered definition of utility, thus enabling agreements in a wider class of joint-goal reachable situations. An approach is offered for conflict resolution, and it is shown that even in a conflict situation, partial cooperative steps can be taken by interacting agents (that is, agents in fundamental conflict might still agree to cooperate up to a certain point). A Unified Negotiation Protocol (UNP) is developed that can be used in all types of encounters. It is shown that in certain borderline cooperative situations, a partial cooperative agreement (i.e., one that does not achieve all agents' goals) might be preferred by all agents, even though there exists a rational agreement that would achieve all their goals. Finally, we analyze cases where agents have incomplete information on the goals and worth of other agents. First we consider the case where agents' goals are private information, and we analyze what goal declaration strategies the agents might adopt to increase their utility. Then, we consider the situation where the agents' goals (and therefore stand-alone costs) are common knowledge, but the worth they attach to their goals is private information. We introduce two mechanisms, one 'strict', the other 'tolerant', and analyze their affects on the stability and efficiency of negotiation outcomes.Comment: See http://www.jair.org/ for any accompanying file

Parenting Goals: Links with Parenting Strategies in Caregivers of Children with Autism Spectrum Disorder

OBJECTIVES: Parenting goals describe the outcomes that parents aim for when interacting with their child. They have received little attention in research with caregivers of children with autism spectrum disorder (ASD). The present study explored different types (dimensions) of parenting goals reported by caregivers of children with ASD, investigated links between these parenting goals and child characteristics, and explored whether parenting goals were linked to reported use of particular parenting strategies. METHODS: Data from 161 caregivers of children with ASD aged 7–18 years revealed two goal dimensions: “Norm Adherence Goals” (i.e. the perceived importance of the child cooperating with the parent, respecting their authority, and behaving well in public); and “Autonomy Support and Relationship Goals” (i.e. the perceived importance of promoting the child’s resilience, wellbeing, and the quality of the parent-child relationship). RESULTS: Parents who reported that norm adherence goals were particularly important to them were more likely to endorse parenting strategies such as setting rules, using rewards, and giving punishments. These parents also reported using less “Accommodation” (e.g. making allowances for their child, being flexible, avoiding triggers). Autonomy support and relationship goals were very strongly endorsed by nearly all parents, and we therefore could not find strong links between the importance of these goals and parenting strategies. CONCLUSION: These findings suggest that parenting goals might be importantly linked to parenting strategies and could be considered in personalizing interventions in clinical practice. Given that parents’ cognitions about their child’s behaviour and their role as parents likely interact with and influence their parenting goals, we argue that future research should investigate parenting goals, cognitions, and behaviours in parallel

'Irrational' searchers and IR-rational researchers

In this article we look at the prescriptions advocated by Web search textbooks in the light of a selection of empirical data of real Web information search processes. We use the strategy of disjointed incrementalism, which is a theoretical foundation from decision making, to focus on how people face complex problems, and claim that such problem solving can be compared to the tasks searchers perform when interacting with the Web. The findings suggest that textbooks on web searching should take into account that searchers only tend to take a certain number of sources into consideration, that the searchers adjust their goals and objectives during searching, and that searchers reconsider the usefulness of sources at different stages of their work tasks as well as their search tasks

Therapy Groups

Therapy groups are designed to promote the health and adjustment of their members. Initially used when the demand for services outstripped available health care providers, therapists discovered that group approaches offered unique benefits over more individualistic therapies. Some of these benefits include a reduced sense of isolation and uniqueness, mutual support, exposure to positive models, and the opportunity to develop coping skills by interacting with others. Therapists now use groups to address a variety of psychological and physical maladies, and their methods are as varied as those used in individual approaches. Even though the idea of having people suffering from problems gather together seemed radical at first, researchers have confirmed the value of group methods for helping people reach their therapeutic goals

An activity theory investigation of tool-use in undergraduate mathematics

This mixed methods study investigates a number of aspects related to tool-use in undergraduate mathematics as seen from an Activity Theory perspective. The aims of this study include: identifying the tools that undergraduates use; seeking for an empirically-based typology of these tools; examining how undergraduates themselves can be profiled according to their tool-use; and finally identifying the factors influencing students tool preferences. By combining results from survey, interview and diary data analyses, it was found that undergraduates in the sample preferred using mostly tools related to their institution s practice (notes, textbooks, VLE), other students and online videos. All the tools students reported using were classified into five categories: peers; teachers; external online tools; the official textbook; and notes. Students in the sample were also classified into five distinct groups: those preferring interacting with peers when studying mathematics (peer-learning group); those favouring using online tools (online-learning group); those using all the tools available to them (blended-learning group); those using only textbooks (predominantly textbooks-learning group); and students using some of the tools available to them (selective-learning group). The main factor shaping students tool choices was found to be their exam-driven goals when examined from an individual s perspective or their institution s assessment related rules when adopting a wider perspective. Results of this study suggest that students blend their learning of mathematics by using a variety of tools and underlines that although undergraduates were found to be driven by exam-related goals, this is a result of the rules regulating how Higher Education Institutions (HEI) function and should not be attributed entirely as stemming from individuals practices. Assigning undergraduates exam- driven goals to their university s sociocultural environment, was made possible by combining two versions of Activity Theory (Leontiev and Engestrøm s) and analysing data at two different levels (individual and collective respectively)

Goal-based structuring in a recommender systems

Recommender systems help people to find information that is interesting to them. However, current recommendation techniques only address the user's short-term and long-term interests, not their immediate interests. This paper describes a method to structure information (with or without using recommendations) taking into account the users' immediate interests: a goal-based structuring method. Goal-based structuring is based on the fact that people experience certain gratifications from using information, which should match with their goals. An experiment using an electronic TV guide shows that structuring information using a goal-based structure makes it easier for users to find interesting information, especially if the goals are used explicitly; this is independent of whether recommendations are used or not. It also shows that goal-based structuring has more influence on how easy it is for users to find interesting information than recommendations

Interacting mindreaders

Could interacting mindreaders be in a position to know things which they would be unable to know if they were manifestly passive observers? This paper argues that they could. Mindreading is sometimes reciprocal: the mindreader's target reciprocates by taking the mindreader as a target for mindreading. The paper explains how such reciprocity can significantly narrow the range of possible interpretations of behaviour where mindreaders are, or appear to be, in a position to interact. A consequence is that revisions and extensions are needed to standard theories of the evidential basis of mindreading. The view also has consequences for understanding how abilities to interact combined with comparatively simple forms of mindreading may explain the emergence, in evolution or development, of sophisticated forms of social cognition

Digi-mart: an interactive "SUPER"market that enhances the social and technological condition in Ivory Park

Computer technology has advanced to the point where it has invaded our lives and become embedded in our environment. The problem with this is that not everyone has it, can use it, understands it or finds value in it. This requires an innovative solution that couples technology use in a communal and public space that provides both free access to technology and technology that is meaningful. Interactive architecture suggest new modes of interacting and interfacing between users and their environments offering the potential for richer and more intuitive dialogues between users, each other and our wider environments. Harnessed in a sustainable platform like a supermarket, it can become a manageable grassroots solution that serves the civic, cultural and social needs of a community. If developed in line with the goals of facilitating public information exchange and discourse in the built environment the application of interactive environments to its context seems well suited to contribute towards encouraging active user participation, social interaction and personal empowerment

Storing and Indexing Plan Derivations through Explanation-based Analysis of Retrieval Failures

Case-Based Planning (CBP) provides a way of scaling up domain-independent planning to solve large problems in complex domains. It replaces the detailed and lengthy search for a solution with the retrieval and adaptation of previous planning experiences. In general, CBP has been demonstrated to improve performance over generative (from-scratch) planning. However, the performance improvements it provides are dependent on adequate judgements as to problem similarity. In particular, although CBP may substantially reduce planning effort overall, it is subject to a mis-retrieval problem. The success of CBP depends on these retrieval errors being relatively rare. This paper describes the design and implementation of a replay framework for the case-based planner DERSNLP+EBL. DERSNLP+EBL extends current CBP methodology by incorporating explanation-based learning techniques that allow it to explain and learn from the retrieval failures it encounters. These techniques are used to refine judgements about case similarity in response to feedback when a wrong decision has been made. The same failure analysis is used in building the case library, through the addition of repairing cases. Large problems are split and stored as single goal subproblems. Multi-goal problems are stored only when these smaller cases fail to be merged into a full solution. An empirical evaluation of this approach demonstrates the advantage of learning from experienced retrieval failure.Comment: See http://www.jair.org/ for any accompanying file