Young people with learning disabilities who sexually harm others: the role of criminal justice within a multi-agency response

This paper outlines the key findings from a recent study of statutory service responses to young people with learning disabilities who show sexually inappropriate or abusive behaviours, with a particular focus on the involvement of criminal justice agencies. The study found that although inappropriate sexual behaviours were commonplace in special schools, and that serious acts of abuse including rape had sometimes occurred, education, welfare and criminal justice agencies struggled to work together effectively. In particular, staff often had difficulty in determining the point at which a sexually inappropriate behaviour warranted intervention. This problem was frequently compounded by a lack of appropriate therapeutic services. In many cases this meant that no intervention was made until the young person committed a sexual offence and the victim reported this to the police. As a consequence, young people with learning disabilities are being registered as sex offenders. The paper concludes by addressing some of the policy and practice implications of the study’s findings, particularly those which relate to criminal justice.

Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems

Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techniques that rely on reinforcement learning only. This is thought to be a result of intelligent behaviour selection on the part of the idiotypic robot. In this paper an attempt is made to imitate idiotypic dynamics by creating controllers that use reinforcement with a number of different probabilistic schemes to select robot behaviour. The aims are to show that the idiotypic system is not merely performing some kind of periodic random behaviour selection, and to try to gain further insight into the processes that govern the idiotypic mechanism. Trials are carried out using simulated Pioneer robots that undertake navigation exercises. Results show that a scheme that boosts the probability of selecting highly-ranked alternative behaviours to 50% during stall conditions comes closest to achieving the properties of the idiotypic system, but remains unable to match it in terms of all round performance.