724 research outputs found
The KGP model of Agency for Decision Making in e-Negotiation
We investigate the suitabilility of the KGP (Knowledge, Goals, Plan) model of agency for autonomous decision making in dynamically changing environments. In particular, we illustrate how this model supports the decision making process of an agent at different levels, while the agents generates goals, plans for these goals, and selects actions to achieve the goals that it has planned for. We also exemplify the approach by illustrating how the model and a prototype implementation in the PROSOCS platform can be adopted to support e-negotiation, using a particular kind of internet auctions as a case study
CRAFTING THE MIND OF PROSOCS AGENTS
PROSOCS agents are software agents that are built according to the KGP model of agency. KGP is used as a model for the mind of the agent, so that the agent can act autonomously using a collection of logic theories, providing the mind's reasoning functionalities. The behavior of the agent is controlled by a cycle theory that specifies the agent's preferred patterns of operation. The implementation of the mind's generic functionality in PROSOCS is worked out in such a way so it can be instantiated by the platform for different agents across applications. In this context, the development of a concrete example illustrates how an agent developer might program the generic functionality of the mind for a simple application. 20 2-4 105 131 Cited By :1
Stochastic Model of Thin Market of nondivisible commodity
We assume a thin market with finite number of buyers and sellers, each agent having a single jump demand xor supply function (the jump is unit). Further, we assume that number of each agent's arrival is a Poisson distributed random variable. We describe the joint distribution of the market price and of the traded volume. Further, we examine a model with infinite number of agents (which may serve as an approximation of the model with the finite number of agents). Again, we describe the joint distribution of the price and the volume.Thin market, market price, traded volume
Narrative based Postdictive Reasoning for Cognitive Robotics
Making sense of incomplete and conflicting narrative knowledge in the
presence of abnormalities, unobservable processes, and other real world
considerations is a challenge and crucial requirement for cognitive robotics
systems. An added challenge, even when suitably specialised action languages
and reasoning systems exist, is practical integration and application within
large-scale robot control frameworks.
In the backdrop of an autonomous wheelchair robot control task, we report on
application-driven work to realise postdiction triggered abnormality detection
and re-planning for real-time robot control: (a) Narrative-based knowledge
about the environment is obtained via a larger smart environment framework; and
(b) abnormalities are postdicted from stable-models of an answer-set program
corresponding to the robot's epistemic model. The overall reasoning is
performed in the context of an approximate epistemic action theory based
planner implemented via a translation to answer-set programming.Comment: Commonsense Reasoning Symposium, Ayia Napa, Cyprus, 201
04171 Abstracts Collection -- Logic Based Information Agents
From 18.04.04 to 23.04.04, the Dagstuhl Seminar 04171 ``Logic Based Information Agents\u27\u27 was held in the International Conference and Research Center (IBFI),
Schloss Dagstuhl.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available
Integrated Guidance on the Care of Familial Hypercholesterolaemia from the International FH Foundation: Executive Summary
Familial hypercholesterolaemia (FH) is a dominantly inherited disorder present from birth that markedly elevates plasma low-density lipoprotein (LDL) cholesterol and causes premature coronary heart disease. There are at least 20 million people with FH worldwide, but the majority remains undetected and current treatment is often suboptimal. To address this major gap in coronary prevention we present, from an international perspective, consensus-based guidance on the care of FH. The guidance was generated from seminars and workshops held at an international symposium. The recommendations focus on the detection, diagnosis, assessment and management of FH in adults and children, and set guidelines for clinical purposes. They also refer to best practice for cascade screening and risk notifying and testing families for FH, including use of genetic testing. Guidance on treatment is based on risk stratification, management of non-cholesterol risk factors and safe and effective use of LDL lowering therapies. Recommendations are given on lipoprotein apheresis. The use of emerging therapies for FH is also foreshadowed. This international guidance acknowledges evidence gaps, but aims to make the best use of contemporary practice and technology to achieve the best outcomes for the care of FH. It should accordingly be employed to inform clinical judgment and be adjusted for country-specific and local healthcare needs and resources
- …