The Puzzle of Pure Moral Motivation

People engage in pure moral inquiry whenever they inquire into the moral features of some act, agent, or state of affairs without inquiring into the non-moral features of that act, agent, or state of affairs. This chapter argues that ordinary people act rationally when they engage in pure moral inquiry, and so any adequate view in metaethics ought to be able to explain this fact. The Puzzle of Pure Moral Motivation is to provide such an explanation. This chapter argues that each of the standard views in metaethics has trouble providing such an explanation. Discussion of why reveals that a metaethical view can provide such an explanation only if it meets two constraints: it allows ordinary moral inquirers to know the essences of moral properties, and the essence of each moral property makes it rational to care for its own sake whether that property is instantiated

Why blame?

We provide experimental evidence that subjects blame others based on events they are not responsible for. In our experiment an agent chooses between a lottery and a safe asset; payment from the chosen option goes to a principal who then decides how much to allocate between the agent and a third party. We observe widespread blame: regardless of their choice, agents are blamed by principals for the outcome of the lottery, an event they are not responsible for. We provide an explanation of this apparently irrational behavior with a delegated-expertise principal-agent model, the subjects’ salient perturbation of the environment

Oil scenarios for long-term business planning: Royal Dutch Shell and generative explanation, 1960-2010

Most executives know that overarching paints of plausible futures will profoundly affect the competitiveness and survival of their organisation. Initially from the perspective of Shell, this article discuses oil scenarios and their relevance for upstream investments. Scenarios are then incorporated into generative explanation and its principal instrument, namely agent-based computational laboratories, as the new standard of explanation of the past and the present and the new way to structure the uncertainties of the future. The key concept is that the future should not be regarded as ‘complicated’ but as ‘complex’, in that there are uncertainties about the driving forces that generate unanticipated futures, which cannot be explored analytically.oil scenarios; Shell; ACEGES; agent-based computational economics

Flexibly Instructable Agents

This paper presents an approach to learning from situated, interactive tutorial instruction within an ongoing agent. Tutorial instruction is a flexible (and thus powerful) paradigm for teaching tasks because it allows an instructor to communicate whatever types of knowledge an agent might need in whatever situations might arise. To support this flexibility, however, the agent must be able to learn multiple kinds of knowledge from a broad range of instructional interactions. Our approach, called situated explanation, achieves such learning through a combination of analytic and inductive techniques. It combines a form of explanation-based learning that is situated for each instruction with a full suite of contextually guided responses to incomplete explanations. The approach is implemented in an agent called Instructo-Soar that learns hierarchies of new tasks and other domain knowledge from interactive natural language instructions. Instructo-Soar meets three key requirements of flexible instructability that distinguish it from previous systems: (1) it can take known or unknown commands at any instruction point; (2) it can handle instructions that apply to either its current situation or to a hypothetical situation specified in language (as in, for instance, conditional instructions); and (3) it can learn, from instructions, each class of knowledge it uses to perform tasks.Comment: See http://www.jair.org/ for any accompanying file

Why honey is effective as a medicine. 2. The scientific explanation of its effects

The effectiveness of honey as a therapeutic agent has been unequivocally demonstrated in the literature reviewed in Part 1 of this article published in 1999, but the biochemical explanation of these effects is more hypothetical. However, a rational explanation can be seen when one looks at the scientific literature outside that on honey. Some of the components of honey are substances known to have physiological actions that would explain many of its therapeutic effects. In addition, research on honey has shown directly that it has physiological actions that would give therapeutic effects

Private provision of public goods in the local interaction model

This paper analyses the evolutionary version of the Public Good game (Eshel, Samuelson, and Shaked (1998)) when agents can use imitation and best reply decision rules. I provide a condition, which completely describes agent behavior in the long run, for any number of neighbors and any total number of agents. Moreover, it is shown that it is enough to have just one decision rule per agent in order to obtain the same long run outcomes. The paper gives an explanation why we might observe irrational cooperation in the rational World

The cult of martyrs

This paper suggests a rational explanation for extreme voluntary sacrifice in situations in which the state of the world when the decision must be made is observable only by the agent. Such explanation is the cult of martyrs, heroes, and saints. This cult may get out of control and fuel fanaticism, or excessive sacrifice from the standpoint of the sponsoring organization. A survey of the historical evidence of Christian martyrdom strongly suggests that martyrs were driven by the expectation of a cult in this world, not by otherworldly rewards. In particular, it is argued that the evidence of excess martyrdom in both Muslim Spain and the Roman Empire strongly speaks for the cult theory.martyrdom, cult, afterlife, economics of religion, principal-agent model, suicide terrorism

SEASALTexp - an explanation-aware architecture for extracting and case-based processing of experiences from internet communities

This paper briefly describes SEASALTexp, an extension of the application-independent SEASALT architecture (Sharing Experience using an Agent-based explanation-aware System Architecture LayouT), which offers knowledge acquisition from Internet communities, knowledge modularisation, and agent-based knowledge maintenance complemented with agent-based explanation facilities