Rational agents are usually built to maximize rewards. However, AGI agents can find undesirable ways of maximizing any prior reward function. Therefore value learning is crucial for safe AGI. We assume that generalized states of the world are valuable – not rewards themselves, and propose an extension of AIXI, in which rewards are used only to bootstrap hierarchical value learning. The modified...

This article addresses an extension of the knowledge modelling approaches, namely to multi-agent systems where communication and coordination are necessary. We propose the notion of competent agent and de ne the basic capabilities of these agents for the extension to be effective. An agent is competent when it is able to reason about its own competence and that of the other agents with which it...

This article aims to inform cotton producers, Extension agents, crop advisors, and consultants about the role management approaches of plant growth regulators in production. Written by Kulpreet Singh, Hardeep Libbie Johnson, Ethan Carter, Lakesh Sharma, Ravinder published UF/IFAS Agronomy Department, May 2023.

  This study compared the use of interpersonal and mass media channels of communication among rural farmers in Kogi State, Nigeria. The specific objectives were to describe the socio economic characteristics of the farmers, determine the influence of socioeconomic characteristics on the usage of interpersonal and media channels, ascertain farmers’ level of awareness of interpersonal and media c...

This paper presents the specification of a programming language for cognitive agents. This programming language is an extension of 3APL (An Abstract Agent Programming Language) and allows the programmer to implement agents’ mental attitudes like beliefs, goals, plans, and actions, and agents’ reasoning rules by means of which agents can modify their mental attitudes. The formal syntax and seman...

This paper considers group decision making by imperfect agents that only know quantized prior probabilities for use in Bayesian likelihood ratio tests. Global decisions are made by information fusion of local decisions, but information sharing among agents before local decision making is forbidden. The quantization scheme of the agents is investigated so as to achieve the minimum mean Bayes ris...

This paper presents the specification of a programming language for cognitive agents. This programming language is an extension of 3APL (An Abstract Agent Programming Language) and allows the programmer to implement agents’ mental attitudes like beliefs, goals, plans, and actions, and agents’ reasoning rules by means of which agents can modify their mental attitudes. The formal syntax and seman...

Over the last few years more complex and flexible techniques have been needed to develop hard real-time systems. The agent paradigm seems to be an appropriate approach to be applied in this area. ARTIS is an agent architecture suitable for hard real-time agents. This paper is focused on an extension of the control module of ARTIS agents that provides a soft real-time control architecture inside...

This thesis aims to explore and demonstrate the ability of the new standard of structural and behavioural components in Unified Modelling Language (UML 2.0 / 2004) to model the learning behaviour of Intelligent Agents. The thesis adopts the research direction that views agent-oriented systems as an extension to object-oriented systems. In view of the fact that UML has been the de facto standard...

This paper explores the role of coinductive methods in modeling finite interactive computing agents. The computational extension of computing agents from algorithms to interaction parallels the mathematical extension of set theory and algebra from inductive to coinductive models. Maximal fixed points are shown to play a role in models of observation that parallels minimal fixed points in induct...